Flocci Talent Suite — Hiring Knowledge Catalog
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exactly what human visitors see at each linked URL. Flocci Talent Suite is an AI recruitment platform that connects to Gmail, parses resume PDFs, screens candidates with explainable AI role-fit scores, manages a visual hiring pipeline, and automates candidate outreach — priced in credits, not per-user seats. Built in India by Flocci Technologies.
Plans: Free Free (200 credits) · Starter INR 699/mo (1,500 credits) · Business INR 2499/mo (10,000 credits) · Enterprise INR 7999/mo (50,000 credits).
Credit costs: AI candidate screening 50 · AI resume parse 10 · Candidate email send 5 · Cached screening result 1.
Flocci Talent Suite gives Indian startups an AI recruiter: Gmail sourcing, resume parsing, AI screening, and outreach from one dashboard — free to start with 200 monthly credits, no per-user fees.
A ten-person startup gets the same flood of resumes as a hundred-person company — but has no recruiter to read them. Applications pile up in a founder's Gmail, referrals get lost in threads, and the best candidates accept other offers before anyone replies.
Flocci Talent Suite is built for exactly this shape of team. It connects to the Gmail inbox you already hire from, parses every resume PDF into a structured profile, scores each candidate against your job requisition with an explainable AI verdict, and queues the interview invites — so a founder can run a real hiring pipeline in the gaps between everything else.
Why startups outgrow spreadsheets before they can afford an ATS. Traditional applicant tracking systems price per user per month — Zoho Recruit starts around ₹1,250/user/month and enterprise suites go far higher — which punishes startups where five people all touch hiring occasionally. Flocci charges for work done, not seats: AI screening costs 50 credits, a resume parse 10, an email 5. The Free plan includes 200 credits every month; the ₹699 Starter plan covers roughly 30 AI screenings or 150 resume parses.
From inbox chaos to a ranked shortlist. Connect Gmail with Google OAuth, and Flocci detects applications and resume attachments automatically. Each PDF becomes a structured candidate profile — skills, experience, education, source. AI screening compares every profile to your job description and returns a role-fit score with stated strengths, gaps, and a recommended next action, so you defend every shortlist decision with reasons, not vibes.
One identity across the Flocci platform. A Flocci account signs into every *.flocci.in product — Talent for hiring, Leads for sales, Workspaces for meetings — with one credit wallet at account.flocci.in funding AI usage platform-wide. Startups get a suite's breadth without buying a suite.
Is there a genuinely free ATS for startups in India?
Yes. Flocci Talent Suite's Free plan includes 200 credits every month with Google sign-in and no card. That covers real work — for example 4 AI screenings, or 20 resume parses — every month, forever, with the full pipeline, requisition, and email tooling included.
How is credit pricing better than per-user pricing for a startup?
Per-user ATS pricing charges for everyone who might log in; credit pricing charges for work actually done. A 5-person startup screening 30 candidates a month pays ₹699 on Flocci Starter — versus ₹6,000+ per month for five seats on a typical ₹1,250/user ATS.
Can Flocci really source candidates from Gmail?
Yes — that is its core workflow. You connect the hiring inbox with Google OAuth, and Flocci scans for applications, extracts resume PDFs, deduplicates candidates by content hash, and files them into your pipeline with structured profiles.
Do I need to install anything or migrate data?
No. Flocci is a web app — sign in with Google, connect your inbox, and your first parsed candidates appear in minutes. There is no implementation project, and your data stays exportable.
Recruitment agencies use Flocci Talent Suite to bulk-parse resumes, AI-screen candidates per client requisition, and run separate pipelines per mandate — paying per screening, not per recruiter seat.
An agency's economics live and die on speed-to-shortlist. Every mandate arrives with a deadline, every consultant juggles multiple clients, and the actual work — reading hundreds of resumes against a JD — is the slowest, least billable part of the job.
Flocci Talent Suite turns that bottleneck into a batch job. Upload or Gmail-source resumes in bulk, run AI screening against the client's requisition, and get a ranked shortlist with per-candidate reasoning you can forward to the client as-is.
Per-mandate pipelines with AI JD scoring. Each client role becomes a job requisition with its own pipeline, and Flocci's AI scores the JD itself for quality — vague requirements get flagged before they waste screening credits. Candidates screened for one mandate flow into a talent pool that auto-matches against future requisitions, so yesterday's silver-medalists become today's instant shortlist.
Costs that scale with mandates, not headcount. Agency ATS pricing typically runs per recruiter per month. Flocci's credit model means a quiet month costs nothing beyond your plan and a heavy month is a predictable ₹2,499 Business plan with 10,000 credits — about 200 AI screenings — with a 3-month rollover for lumpy demand. Cached screening results cost 1 credit instead of 50 when the same resume is re-screened.
Client-ready communication built in. Interview invites, holds, and rejections send from templated, tracked emails — with open and click tracking — so candidates never sit in silence and your agency's brand stays responsive.
Which ATS is most affordable for a small recruitment agency in India?
For agencies that screen in bursts, credit-priced tools beat per-seat ones. Flocci Talent Suite's ₹2,499/month Business plan includes 10,000 credits — roughly 200 AI screenings — with every consultant on the team included, versus per-recruiter monthly fees on agency ATS platforms like Recruit CRM or Zoho Recruit.
Can I run separate pipelines for different clients?
Yes. Each requisition carries its own pipeline, candidates, analytics, and screening context, and the org layer keeps team members, roles, and billing under one organization account.
How fast can Flocci screen 500 resumes?
Bulk AI screening processes hundreds of resumes per run with real-time WebSocket progress. A 500-resume screening returns ranked results with per-candidate reasoning typically within the hour, and repeat resumes hit the cache at 1 credit each.
Does Flocci replace my job board subscriptions?
No — it complements them. Flocci ingests what your boards and ads generate (resumes in your inbox or files) and does the screening, ranking, pipeline, and outreach layer that boards do not.
Flocci Talent Suite AI-screens thousands of fresher resumes against role requirements, ranks candidates with explained scores, and automates invite and rejection emails — proven in a live AI hiring drive that placed 20 candidates in 6 days.
Campus and fresher hiring is the highest-volume, lowest-signal work in recruitment: thousands of near-identical resumes, tight placement-week timelines, and a candidate experience that collapses into silence for everyone not shortlisted.
Flocci Talent Suite was battle-tested on exactly this problem — Flocci ran a fully automated AI hiring drive that screened applicants and placed 20 candidates in 6 days. The same engine is what you get: bulk parsing, requisition-matched AI scores, and automated, humane communication to every single applicant.
Built for volume: parse and screen by the thousand. Resume PDFs are parsed into structured profiles at 10 credits each, then screened against your requisition at 50 credits with a content-hash cache that makes duplicate submissions nearly free. Real-time progress feeds show exactly where a 2,000-resume batch stands.
Fair, explainable fresher screening. Fresher resumes carry little work history, so Flocci's screening weighs projects, skills, education, and certifications, and returns stated reasons for every score with bias corrections applied — a defensible, consistent rubric instead of exhausted human skimming at resume number 900.
No applicant left in silence. Bulk email automation sends personalized interview invites to the shortlist and respectful rejections to everyone else, with delivery, open, and click tracking. Colleges remember employers whose process felt fair.
What is the best way to screen thousands of campus resumes?
Parse them into structured profiles first, then score them against the actual role requirements with a consistent rubric. Flocci Talent Suite automates both steps: bulk AI parsing plus requisition-matched screening returns a ranked, explained shortlist from thousands of resumes in hours.
How much does it cost to screen 1,000 campus resumes with AI?
On Flocci, parsing 1,000 resumes costs 10,000 credits and screening the top slice costs 50 credits per candidate — the ₹2,499 Business plan covers parsing all 1,000, and cached or duplicate resumes cost 1 credit. That is a fraction of enterprise campus-hiring platform contracts.
Can AI screening be fair to freshers with no experience?
Yes, if it scores what freshers actually have. Flocci weighs skills, projects, education, and certifications rather than only tenure, applies bias corrections, and explains every score so your team can audit any decision.
Has Flocci's AI hiring actually been used for a real drive?
Yes. Flocci Technologies ran a fully automated AI hiring drive on this engine that took applicants from sourcing to offers and placed 20 candidates in 6 days — documented at press-release.flocci.in.
IT services and product companies use Flocci Talent Suite to screen developer resumes against real stack requirements, score JD quality, and keep bench-building talent pools — with AI that parses skills, projects, and tenure into comparable profiles.
Tech hiring fails in the screening layer: keyword filters reject a Golang engineer who wrote 'Go', and human skimming cannot compare 400 resumes' worth of stacks, projects, and tenure consistently. Meanwhile the requisition itself is often the problem — vague JDs attract vague candidates.
Flocci Talent Suite attacks both ends. Its AI reads resumes the way an engineering manager does — stacks, projects, depth versus buzzwords — and its JD quality scoring flags weak requisitions before they hit the market.
Screening that distinguishes depth from keyword stuffing. Flocci's screening returns dimensional scores — competence, role fit, and recommendation — with written reasoning: which required skills are evidenced by actual projects, which are resume decoration, and what the interview should probe. It is a context-reading model, not a keyword counter.
JD quality scoring before you post. Every requisition gets an AI quality score with concrete feedback — missing seniority signals, ambiguous stack requirements, unrealistic combinations — so you fix the JD before it generates 300 mismatched applications.
Bench and pipeline building with talent pools. Strong candidates from closed requisitions are harvested into a talent pool and auto-matched against new openings by skill overlap — so the React engineer who lost a tight race in March is your first call in July, at 1 cached credit instead of a fresh screening.
How does AI resume screening work for software engineers?
Flocci parses each resume into structured skills, projects, and experience, then compares that against the requisition's stack and seniority requirements. It returns a role-fit score with written reasons — evidenced skills, gaps, and suggested interview probes — rather than a keyword match count.
Can Flocci handle both services-company volume and product-company depth?
Yes. Bulk screening with caching handles services-scale volume (hundreds of profiles per requisition), while the explainable per-candidate reasoning and JD quality scoring serve product teams making fewer, deeper hires.
What does tech hiring cost on Flocci compared to enterprise ATS?
Flocci is credit-priced: 50 credits per AI screening, 10 per parse. The ₹2,499/month Business plan covers about 200 screenings — no per-recruiter seats, no annual enterprise contract, no implementation project.
Does Flocci integrate coding assessments?
Not natively today. Flocci focuses on the sourcing-to-shortlist layer — Gmail ingestion, parsing, AI screening, pipeline, outreach — and pairs cleanly with any assessment platform you already use for the next stage.
Indian SMEs and MSMEs use Flocci Talent Suite to manage hiring without an HR department: Gmail-based applications, AI shortlists, and professional candidate communication from ₹0/month.
Most small businesses in India hire through a jumble of WhatsApp forwards, job-portal emails, and paper resumes — and every hire eats a week of the owner's attention. Recruitment software exists, but per-user enterprise pricing was never designed for a 20-person firm that hires eight people a year.
Flocci Talent Suite fits that reality. It starts free, works from the Gmail account the business already runs on, and does the tedious parts — reading resumes, comparing candidates, sending polite replies — with AI.
No HR department required. The workflow is deliberately simple: applications arrive in your inbox, Flocci parses them into profiles, AI screening ranks them against your job description with plain-language reasons, and one click sends interview invitations. The Kanban pipeline shows every candidate's stage at a glance.
Pricing an SME can actually justify. The Free plan's 200 monthly credits handle occasional hiring at ₹0. When you run a bigger drive, ₹699 buys 1,500 credits — around 30 AI screenings — with UPI auto-renew and rollover. Compare that with ₹1,250+ per user per month for conventional ATS seats, before onboarding costs.
Look professional to candidates. Templated interview invites, offers, and rejections go out under your name with tracking — so a 20-person firm communicates like an enterprise, and good candidates stop ghosting you for slicker employers.
What is the cheapest way for a small business to manage hiring in India?
Flocci Talent Suite's Free plan is a working ATS at ₹0/month: 200 monthly credits cover parsing about 20 resumes or several AI screenings, plus unlimited pipeline management and requisitions. Paid plans start at ₹699/month — less than most single job-ad postings.
I am not technical — how hard is setup?
Sign in with your Google account, connect the inbox that receives applications, and create a job requisition by pasting your JD. There is no software to install, no migration, and the AI does the reading.
Can Flocci work in Hindi-medium or mixed-language hiring?
Resumes in English parse best today, and screening reasons are returned in clear English. Candidate emails are fully editable templates, so you can write outreach in Hindi, Hinglish, or any language your candidates prefer.
What happens if I stop hiring for a few months?
Nothing bad. The Free plan keeps your data and pipeline live, monthly free credits keep accruing value, and paid-plan credits roll over (1 month on Starter, 3 on Business) so bursty hiring does not waste money.
Independent recruiters and HR consultants use Flocci Talent Suite as their entire back office: candidate database, AI screening, client-ready shortlists, and tracked outreach — priced for a solo practice.
A freelance recruiter competes with agencies on speed and personal trust — but loses hours to the unbillable middle: sorting resumes, maintaining spreadsheets, chasing candidates who never got a reply.
Flocci Talent Suite is the back office a solo practice cannot hire. It maintains your candidate database with structured, searchable profiles, screens applicants against each client mandate with AI, and keeps every candidate conversation tracked — so you spend your day on clients and closings.
Your candidate database compounds. Every parsed resume becomes a permanent, structured profile. The talent pool auto-matches past candidates against new mandates by skill overlap, which is precisely how experienced independents win: placing someone they met eight months ago in a role that opened yesterday.
Client-ready deliverables. AI screening produces ranked shortlists with per-candidate reasoning — strengths, gaps, recommendation — that read like a consultant's notes. Forward them as your work product, because they are.
Solo-practice pricing. Start at ₹0 with 200 monthly credits; the ₹699 Starter plan (1,500 credits, rollover, UPI auto-renew) comfortably runs a several-mandates-a-month practice. There are no per-seat fees because there is only one of you — and when you grow, the org layer adds teammates.
What software does a freelance recruiter in India actually need?
Three things: a candidate database that does not rot, a fast way to shortlist against each mandate, and reliable candidate communication. Flocci Talent Suite covers all three — structured profiles, AI screening with written reasoning, and tracked templated email — from ₹0/month.
Can I manage multiple clients' roles separately?
Yes. Each mandate is a separate requisition with its own pipeline, screening context, and analytics, so client work never bleeds together.
Is my candidate data safe and portable?
Your data lives in your account, is never shared across tenants, and candidate profiles remain exportable. Flocci's platform keeps organization data strictly scoped to its owner.
How do I justify AI screening fees to clients?
Screenings cost 50 credits (about ₹23 on the Starter plan's rates) and produce documented, defensible reasoning per candidate. Most consultants absorb it as cost-of-sale — it is cheaper than an hour of manual screening — or line-item it as a screening service.
BPOs, retail chains, and operations-heavy businesses use Flocci Talent Suite for bulk resume ingestion, cached AI screening, and mass candidate communication — with per-screening costs that stay flat as volume grows.
High-volume hiring — BPO seats, retail floors, delivery fleets, seasonal surges — breaks conventional recruiting tools. The funnel is enormous, attrition guarantees it never stops, and the cost of screening must stay rational at the thousandth candidate.
Flocci Talent Suite's architecture was built volume-first: bulk parsing, bulk screening with a content-hash cache that prices repeat applicants at 1 credit, bulk status moves on the pipeline, and mass personalized email — with WebSocket progress feeds so a 2,000-candidate batch is observable, not a black box.
The cache is the economics. High-volume funnels see the same candidates repeatedly — reapplications, multi-role applies, agency duplicates. Flocci fingerprints resume content: a repeat screening against the same JD costs 1 credit instead of 50. At volume, that cache typically absorbs a meaningful slice of your funnel for near-zero cost.
Bulk operations as first-class citizens. Select hundreds of candidates and screen, move stages, or email in one action. The 12-state pipeline supports operational statuses beyond the classic five, and analytics snapshots track funnel conversion, screening score distributions, and email effectiveness over time.
Communication at scale that stays personal. Templated emails merge candidate specifics, and every send is tracked for delivery, opens, and clicks. Rejected candidates get told — which matters when your applicant pool is also your customer base.
What does it cost to screen 5,000 candidates a month?
On Flocci's Enterprise plan (₹7,999/month, 50,000 credits), 5,000 fresh AI screenings would use 250,000 credits — but real high-volume funnels hit the 1-credit cache heavily on repeat applicants, and many teams parse all (10 credits each) while AI-screening only the plausible slice. Most 5,000-resume months land within Enterprise; top-ups price at 0.8× in-app.
Can Flocci handle walk-in drive resumes that arrive as photos or paper?
Flocci parses digital resume files (PDF primarily). For walk-in drives, teams scan or collect digital copies — once a file exists, bulk upload and parsing takes over. Direct camera-capture parsing is not a current feature, and we will not pretend otherwise.
How do I keep quality up when screening at volume?
Use JD quality scoring first — a precise requisition raises everyone's score signal. Then let AI screening rank with explained reasons and set your interview cut by score band, auditing a sample of reasons weekly. Consistency is the point: candidate 4,000 gets the same rubric as candidate 4.
Does high volume slow the system down for everyone else?
No. Screening runs as tracked background batches with real-time progress feeds, and the cache means repeated content returns instantly.
Distributed teams use Flocci Talent Suite to run asynchronous hiring: AI screening produces written, shareable candidate assessments, the Kanban pipeline shows state at a glance, and org roles keep every hiring manager in the loop.
Remote teams discovered that hiring is their most meeting-heavy process at exactly the moment they gave up meetings. Resume review by committee across time zones either stalls or collapses onto one exhausted person.
Flocci Talent Suite makes the screening layer asynchronous. AI produces a written assessment per candidate — score, strengths, gaps, recommendation — that any teammate can read in their own morning. The pipeline board is the single source of truth for who stands where, and org roles let hiring managers, recruiters, and interviewers each see what they need.
Written-first candidate assessment. Instead of 'let's sync on the candidates', every screened candidate carries an AI-written brief plus your team's notes on the profile. Disagreements happen in comments on evidence, not in calendar Tetris.
An org layer built for distributed companies. Flocci's organization accounts support members, invites, and role ladders (admin, hiring manager, recruiter, interviewer, viewer), with org-level billing from a shared credit wallet — one subscription covering the whole distributed team, seat-gated per plan at account.flocci.in.
Timezone-proof candidate experience. Email automation sends invites and updates promptly regardless of whose workday it is, with tracking to confirm the message landed. Candidates judge remote employers by their process — responsiveness is the brand.
How do distributed teams review candidates without meetings?
By making screening written-first. Flocci's AI produces a per-candidate written assessment — score, evidenced strengths, gaps, recommended action — that teammates read and annotate asynchronously, with the Kanban pipeline as shared state. Meetings shrink to final-round decisions.
Can multiple hiring managers share one Flocci account?
Better: one organization. Flocci's org layer supports invited members with distinct roles and a shared org wallet, so access, permissions, and billing are governed — not a shared password.
Does Flocci work for hiring in multiple countries?
Flocci is India-built and priced in INR, but the workflow — Gmail sourcing, AI screening, pipeline, email — is location-agnostic and used for roles anywhere. Payment is via Flocci Payments (UPI/cards); pricing stays in INR.
What keeps remote hiring pipelines from going stale?
Analytics snapshots track pipeline movement and conversion over time, and the talent pool auto-resurfaces past candidates against new roles — so distributed teams see drift before it becomes drought.
Zoho Recruit is a mature all-in-one ATS with 75+ job-board posting and per-user pricing from ₹1,250/user/month. Flocci Talent Suite is an AI-first, Gmail-native screening engine priced in credits from ₹0. Here is the factual breakdown.
Zoho Recruit is one of the most established ATS products in India — broad, customizable, deeply integrated with the Zoho ecosystem, and priced per user. Flocci Talent Suite takes the opposite bet: a focused AI hiring engine that lives on top of Gmail, screens with explainable AI, and charges for work done rather than seats.
Core model — Flocci: AI hiring command center on your Gmail inbox | Zoho Recruit: All-in-one ATS + CRM for HR teams and staffing agencies
Pricing — Flocci: Credit-based: Free (200 credits/mo), ₹699, ₹2,499, ₹7,999/mo — team included | Zoho Recruit: Per user: from ~₹1,250/user/month (Standard) to ~₹2,500/user/month (Premium)
AI screening — Flocci: Explainable role-fit scores with written strengths/gaps/recommendation, 50 credits each | Zoho Recruit: Zia AI assistant: matching, sourcing recommendations within the suite
Candidate sourcing — Flocci: Gmail-native: OAuth inbox scan, resume PDF extraction, deduplication | Zoho Recruit: 75+ job board multi-posting, career site, sourcing boosters
Job board posting — Flocci: Not built in — pairs with boards you already use | Zoho Recruit: Post once, publish to 75+ boards (a genuine Zoho strength)
JD quality scoring — Flocci: AI scores every requisition's JD with concrete feedback | Zoho Recruit: JD assistance via Zia
Pipeline — Flocci: 12-state Kanban with bulk moves and talent-pool harvesting | Zoho Recruit: Customizable pipelines and workflows
Setup — Flocci: Google sign-in, connect inbox, minutes to first parsed candidate | Zoho Recruit: Trial + configuration; deeper setup for workflows/integrations
Ecosystem — Flocci: One Flocci identity across 30+ apps, shared credit wallet | Zoho Recruit: Zoho One ecosystem (CRM, Books, People, 200+ integrations)
When Zoho Recruit wins: Choose Zoho Recruit if you need one-click multi-posting to 75+ job boards, deep workflow customization, or you already run on the Zoho ecosystem — those are real strengths Flocci does not attempt.
When Flocci wins: Choose Flocci if your candidates already arrive by email, you want explainable AI screening rather than a broad suite, and per-user pricing does not fit a team where many people touch hiring occasionally. A 5-seat team pays ₹6,250+/month on Zoho's entry tier versus ₹699–2,499 flat on Flocci.
Is Flocci Talent Suite cheaper than Zoho Recruit?
For most small teams, yes. Zoho Recruit charges from about ₹1,250 per user per month; Flocci charges flat credit-based plans (₹0–₹7,999/month) covering the whole team, where an AI screening costs 50 credits. Five occasional users cost ₹6,250+/month on Zoho versus ₹699/month on Flocci Starter for ~30 screenings.
What does Zoho Recruit do better than Flocci?
Multi-posting to 75+ job boards, mature workflow customization, staffing-agency editions, and the surrounding Zoho ecosystem. If those drive your process, Zoho is a strong choice — Flocci focuses instead on the inbox-to-shortlist AI layer.
Can I use Flocci alongside Zoho or a job board?
Yes. Many teams post roles wherever they always have and point applications at a Gmail address — Flocci ingests, parses, screens, and manages everything from there.
Keka is a leading Indian HRMS whose hiring module shines when you want recruitment tied to payroll and onboarding. Flocci Talent Suite is a standalone AI screening engine priced in credits. Factual comparison inside.
Keka is HR-suite-first: recruitment is one module of a platform spanning payroll, attendance, and performance, and it is loved for exactly that continuity. Flocci is hiring-first: it does not do payroll, and in exchange it does the sourcing-to-shortlist layer with AI depth — explainable screening, JD scoring, Gmail ingestion — at credit prices.
Core model — Flocci: Standalone AI hiring engine (Gmail → parse → screen → pipeline → outreach) | Keka Hire: ATS module inside the Keka HRMS (hire-to-retire platform)
Pricing — Flocci: Credit-based from ₹0; ₹699–₹7,999/month flat, team included | Keka Hire: Contact sales; typically bundled with Keka HRMS plans (per-employee pricing)
AI screening — Flocci: Explainable per-candidate scores with reasons and interview probes | Keka Hire: AI-assisted screening within the recruitment module
Payroll & onboarding — Flocci: Not offered — Flocci Talent stops at the hire | Keka Hire: Native: offer-to-onboarding-to-payroll continuity (Keka's core strength)
Gmail sourcing — Flocci: Native OAuth inbox scanning and resume extraction | Keka Hire: Career pages, job boards, referrals as primary sources
Best-fit team — Flocci: Startups, agencies, consultants, volume screeners | Keka Hire: Companies standardizing all of HR on one Indian platform
When Keka Hire wins: Choose Keka if you want recruitment, onboarding, payroll, and attendance in one Indian platform with a single vendor — the hire-to-retire continuity is real and Flocci does not compete there.
When Flocci wins: Choose Flocci if hiring is the problem you are solving this quarter: you want AI screening you can audit, sourcing from the inbox you already use, and a bill that scales with screenings rather than employee count — starting at ₹0 without a sales call.
Is Flocci a replacement for Keka?
Only for the hiring layer. Flocci Talent Suite covers sourcing, parsing, AI screening, pipeline, and candidate outreach; it deliberately does not do payroll, attendance, or performance. Teams on Keka HRMS sometimes still use Flocci for high-volume AI screening upstream.
Which is cheaper, Flocci or Keka Hire?
Flocci publishes flat credit plans from ₹0 to ₹7,999/month with the whole team included; Keka's pricing is quote-based and typically bundled with its HRMS on per-employee terms. For screening-heavy, hiring-only needs, Flocci's usage pricing is usually the smaller bill.
Can I try Flocci without talking to sales?
Yes — sign in with Google and the Free plan's 200 monthly credits are live immediately, no card and no demo call.
Darwinbox is a Gartner-recognized enterprise HCM with talent acquisition inside a global suite. Flocci Talent Suite is a self-serve AI hiring engine you can start free today. Here is who should pick which.
Darwinbox sells AI-native HCM to global enterprises — a 2026 Gartner Magic Quadrant Leader in Talent Acquisition, bought through enterprise sales cycles and deployed org-wide. Flocci Talent Suite is the opposite motion: self-serve, Gmail-native, credit-priced AI hiring that a founder or HR lead switches on in an afternoon.
Core model — Flocci: Self-serve AI hiring engine | Darwinbox: Enterprise HCM suite with talent acquisition module
Buying process — Flocci: Google sign-in; free plan live in minutes | Darwinbox: Enterprise sales, demos, implementation program
Pricing — Flocci: Published: ₹0 / ₹699 / ₹2,499 / ₹7,999 per month, credit-based | Darwinbox: Quote-based enterprise contracts
Recognition — Flocci: Proven in a live automated AI hiring drive (20 placements in 6 days) | Darwinbox: Gartner Magic Quadrant Leader, Talent Acquisition (2026)
Scope — Flocci: Sourcing → screening → pipeline → outreach | Darwinbox: Full employee lifecycle: HR, payroll, talent, engagement
Best-fit team — Flocci: Startups to mid-size teams, agencies, drives | Darwinbox: Large enterprises standardizing global HR
When Darwinbox wins: Choose Darwinbox if you are an enterprise consolidating the full employee lifecycle on one HCM with procurement, SSO/compliance reviews, and global rollout needs — that is its designed habitat.
When Flocci wins: Choose Flocci if you need hiring outcomes this month, not an HCM program this year: published pricing, no procurement cycle, AI screening from the first afternoon, and costs that stay proportional to actual screening volume.
Is Flocci an enterprise HCM like Darwinbox?
No, and it does not pretend to be. Flocci Talent Suite covers the hiring funnel — sourcing to shortlist to outreach — as a self-serve product. Darwinbox covers the full employee lifecycle for enterprises. Different problems, different buyers.
Why would anyone pick the smaller product?
Speed and proportional cost. If hiring is the bottleneck, Flocci delivers AI screening today at published prices from ₹0, with no implementation project. Enterprises pick Darwinbox for breadth and governance; teams pick Flocci for immediate hiring throughput.
Can Flocci coexist with an enterprise HCM?
Yes. Some teams run Flocci as the fast screening layer for a drive or a division while the HCM remains the system of record post-offer.
Manatal is a polished global ATS from $15/user/month with 2,500+ job board reach. Flocci Talent Suite is India-first, Gmail-native, and credit-priced in INR. The factual comparison for Indian teams.
Manatal is a strong global value ATS: clean UX, AI candidate enrichment from social profiles, 2,500+ job-board reach, and USD per-user pricing that undercuts legacy suites. Flocci's difference is architectural: it starts from the Gmail inbox rather than job boards, prices in INR credits rather than USD seats, and makes explainable AI screening the core object rather than a feature.
Core model — Flocci: Gmail-native AI screening engine | Manatal: Cloud ATS + recruitment CRM with job-board sourcing
Pricing — Flocci: INR credit plans: ₹0 / ₹699 / ₹2,499 / ₹7,999 per month, team included | Manatal: USD per user: $15 (Professional) / $35 (Enterprise) / $55 (Enterprise Plus) per user/month, annual
Sourcing — Flocci: OAuth Gmail scan, resume PDF extraction, dedup by content hash | Manatal: 2,500+ job board integrations, candidate enrichment from 20+ platforms
AI screening — Flocci: Explainable requisition-matched scores with written reasoning; 1-credit cached re-screens | Manatal: AI recommendations, scoring, and an AI interviewer for video screening
Currency & billing — Flocci: INR via Flocci Payments (UPI); credits roll over; free plan forever | Manatal: USD billing; 14-day free trial
Best-fit team — Flocci: India-first teams hiring from email flow | Manatal: Global agencies and HR teams sourcing via job boards
When Manatal wins: Choose Manatal if your sourcing runs on international job boards and LinkedIn enrichment, you want an AI video interviewer, and USD per-user billing suits your team's shape — it is excellent global value.
When Flocci wins: Choose Flocci if you hire in India from an email-driven funnel: INR pricing with UPI, a real free tier, credit costs that track usage (a 3-person team pays ₹699/month, not $45+), and screening output you can audit line by line.
Is Flocci cheaper than Manatal for a small Indian team?
Usually. Manatal's Professional tier is $15/user/month billed annually — about ₹1,250/user/month — so three users run roughly ₹3,750/month. Flocci's Starter is ₹699/month flat for the team with ~30 AI screenings included, and there is a permanent free tier.
Does Flocci match Manatal's job-board integrations?
No — Manatal's 2,500+ board network is a genuine strength. Flocci intentionally ingests from Gmail instead: post anywhere, route applications to your inbox, and Flocci takes over from arrival.
Which has better AI screening?
They differ in kind. Manatal offers AI recommendations plus an AI video interviewer; Flocci focuses on deep resume-vs-requisition screening with written, auditable reasoning and cached 1-credit re-screens. For explainability per rupee, Flocci; for video-interview automation, Manatal.
Recruit CRM is an AI-first ATS+CRM built for recruitment agencies with outreach sequencing and a Chrome extension. Flocci Talent Suite is a credit-priced AI screening engine for both in-house teams and agencies. Compared honestly.
Recruit CRM is agency-native: candidate + client CRM in one, outreach sequencing, resume formatting AI agents, and a Chrome sourcing extension — built around the placement business model. Flocci serves agencies too, but its center of gravity is the screening engine itself: requisition-matched, explainable AI scores at credit prices, equally at home in an in-house team.
Core model — Flocci: AI screening engine + pipeline for in-house teams and agencies | Recruit CRM: ATS + CRM for recruitment agencies (candidates and clients)
Client management — Flocci: Requisition-per-mandate; no client-billing CRM | Recruit CRM: Native client/company CRM, deal pipelines (agency strength)
Pricing — Flocci: Credit plans ₹0–₹7,999/month flat | Recruit CRM: Per-user subscription (published on their pricing page); unlimited free trial
AI capabilities — Flocci: Explainable screening, JD quality scoring, talent-pool auto-match | Recruit CRM: AI agents for resume formatting, email replies, sourcing/matching
Sourcing — Flocci: Gmail OAuth ingestion and parsing | Recruit CRM: Chrome extension sourcing, LinkedIn/Gmail/Outlook integrations
Outreach — Flocci: Templated tracked email (invite/offer/reject) with open/click tracking | Recruit CRM: Multi-channel outreach sequencing (a real strength)
When Recruit CRM wins: Choose Recruit CRM if you run a placement agency that needs client-side CRM, deal tracking, and multi-channel outreach sequencing as core workflow — it is purpose-built for that business.
When Flocci wins: Choose Flocci if the screening itself is your bottleneck — hundreds of resumes per mandate needing ranked, explained verdicts — or you are an in-house team that does not need client CRM at all. Credit pricing means consultants who screen in bursts pay for the bursts, not the seats.
Is Flocci an ATS+CRM like Recruit CRM?
Flocci is the ATS/screening half without the client-deal CRM half. Agencies that mainly need speed-to-shortlist use Flocci; agencies whose workflow revolves around client relationship and deal tracking will find Recruit CRM's CRM side is something Flocci does not replicate.
How do their prices compare?
Recruit CRM prices per user per month; Flocci prices by usage with flat plans from ₹0 to ₹7,999 covering the whole team. For a 4-consultant desk screening ~150 candidates/month, Flocci's ₹2,499 Business plan is typically the smaller and more predictable bill.
Can in-house HR teams use Recruit CRM or Flocci?
Both allow it, but the designs differ: Recruit CRM's client/deal model is agency-shaped, while Flocci's requisition-and-pipeline model fits in-house hiring natively and agencies per-mandate.
Zappyhire is an agentic AI recruitment automation platform for large enterprises — video interviews, assessments, onboarding automation, quote-based. Flocci Talent Suite is self-serve AI screening from ₹0. Honest comparison for Indian teams.
Zappyhire targets large enterprises with agentic automation across the full funnel: robotic video interviews, coding assessments, offer generation, pre-onboarding — sold via demos with quote-based pricing and enterprise compliance badges. Flocci covers the sourcing-to-shortlist core of that funnel as a product you switch on yourself, priced in published INR credits.
Core model — Flocci: Self-serve AI screening + pipeline engine | Zappyhire: Enterprise agentic recruitment automation platform
Buying process — Flocci: Google sign-in, free tier, published pricing | Zappyhire: Demo-led enterprise sales, quote-based pricing
Video interviews — Flocci: Not built in — screening is resume/JD based | Zappyhire: Automated video interview assessments (core strength)
Assessments — Flocci: Pairs with your existing assessment tool | Zappyhire: Built-in coding assessments and evaluations
Screening explainability — Flocci: Written per-candidate reasoning: strengths, gaps, recommendation | Zappyhire: AI evaluation scores within enterprise workflows
Best-fit team — Flocci: Startups to mid-market, agencies, campus drives on a budget | Zappyhire: Large enterprises: banking, IT services, high-volume blue/grey collar
When Zappyhire wins: Choose Zappyhire if you are an enterprise wanting automated video interviews, built-in assessments, and offer-to-onboarding robotics under one contract with enterprise compliance — Flocci does not offer video interviewing or onboarding automation.
When Flocci wins: Choose Flocci if you want the highest-leverage slice — AI resume screening with auditable reasoning — today, at published prices from ₹0, without an enterprise procurement cycle. Flocci's own automated hiring drive (20 placements in 6 days) ran on exactly this engine.
Does Flocci do robotic video interviews like Zappyhire?
No. Flocci's screening is resume-and-requisition based with written AI reasoning; video interviewing is not a feature. Teams that need it pair Flocci's shortlisting with any interview platform, or choose Zappyhire's integrated enterprise approach.
What does each cost?
Zappyhire is quote-based enterprise pricing via demo. Flocci publishes its prices: Free (200 credits/month), ₹699 Starter, ₹2,499 Business, ₹7,999 Enterprise — with per-action credit costs (50 for a screening) stated up front.
Which suits a campus drive?
Both target volume. Enterprises with budget for integrated video assessments lean Zappyhire; teams that want ranked, explained shortlists from thousands of resumes at self-serve prices run Flocci — as Flocci Technologies itself did for its 6-day automated hiring drive.
How to screen software engineer resumes: the signals that matter (projects over keywords, stack depth, tenure patterns), and how Flocci Talent Suite automates the ranking with explainable AI scores.
Screening signals: Stack evidence in real projects, not skill-list keywords — a GitHub link or shipped product beats ten buzzwords • Depth versus breadth: 3 years deep in one backend stack usually outperforms 10 frameworks at survey level • Tenure pattern: repeated sub-year stints without contract context is a probe-worthy flag, not an auto-reject • Problem-scale markers: users served, data volume, latency numbers — engineers who measure, matter • Learning trajectory: recent certs or projects in the stack you need signal adaptability for stack-adjacent hires
JD advice: Name the exact stack and seniority — 'Node.js + Postgres, 3-5 years' outperforms 'rockstar full-stack developer' • Separate must-have from good-to-have skills explicitly; AI screening (and candidates) will respect the boundary • State the problem domain — engineers self-select strongly on domain (fintech, infra, consumer)
Screening 120 applicants for a backend engineer role: 120 resume parses = 1,200 credits; AI-screen the 60 plausible profiles = 3,000 credits; total 4,200 credits ≈ one ₹699 Starter month plus rollover, or well inside a ₹2,499 Business month with 10,000 credits.
How does AI screen a software engineer resume?
Flocci parses the resume into structured skills, projects, and tenure, then evaluates it against your requisition's stack and seniority requirements — returning a role-fit score with written reasoning: which required skills have project evidence, which are unproven, and what the technical interview should probe.
Can AI screening detect keyword stuffing?
Contextual screening penalizes it naturally: a skill mentioned only in a list scores below a skill demonstrated in a described project. Flocci's written reasoning shows you exactly which skills it considered evidenced versus merely claimed.
What score cutoff should we use for engineering roles?
Start by interviewing above the natural break in your score distribution rather than a fixed number — Flocci's ranked list makes the break visible. Audit a sample of reasons around the cutoff weekly and adjust the JD if good candidates cluster just below it.
What predicts sales performance on a resume — quota language, tenure rhythm, market match — and how Flocci Talent Suite turns 300 sales applications into a ranked, explained shortlist.
Screening signals: Numbers language: quota attainment, targets vs achieved, deal sizes — top salespeople quantify instinctively • Market match: B2B vs B2C, ticket size, and sales-cycle length experience transfer poorly across those lines • Tenure rhythm: sales tolerates shorter stints than engineering, but look for at least one 2+ year run • Progression: SDR → AE → senior AE trajectories predict better than lateral title repetition • Territory and language fit: for Indian field sales, region and language coverage is a hard requirement worth screening explicitly
JD advice: State the ticket size, sales motion (field/inside/channel), and target segment — it filters more honestly than adjectives • Name the languages and territories needed for field roles • Publish the incentive structure shape (not numbers) — commission-comfortable candidates self-select
300 applications for 5 field sales openings across two states: 300 parses = 3,000 credits; screen 150 plausible profiles = 7,500 credits; total 10,500 credits ≈ one ₹2,499 Business month (10,000) plus rollover or a small top-up at 0.8× rates.
Can AI really predict sales performance from a resume?
It cannot predict closing skill — no tool can — but it reliably ranks market match, quantification habits, tenure rhythm, and progression, which is exactly the triage a hiring manager does across 300 resumes. Flocci's written reasons per candidate show which signals drove each score, so your interviews start at the right shortlist.
How do we screen for regional language and territory fit?
Put languages and territories in the requisition as must-have requirements — Flocci's screening evaluates against your stated requirements, and its reasoning flags candidates who do not evidence them.
What is a common mistake in sales JDs?
Hiding the sales motion. 'Sales executive' attracts everyone from retail counter staff to enterprise AEs; specifying inside/field, ticket size, and segment cuts noise at the source and measurably improves screening score separation.
Support hiring is volume hiring: hundreds of similar resumes where communication signals, shift flexibility, and tool familiarity decide. How Flocci automates the triage with cached, explainable AI screening.
Screening signals: Written communication quality of the resume itself — for written-support roles the resume is a work sample • Channel experience: voice, chat, and email support are different skills; match to your channel mix • Tool familiarity: ticketing systems (Zendesk/Freshdesk-class), CRM basics — shortens ramp time • Stability markers: support attrition is brutal; a 18-month+ stint in a support role is a strong signal • Language coverage and shift flexibility, stated explicitly — hard requirements for Indian support operations
JD advice: Specify channel (voice/chat/email), languages, and shift pattern in the first three lines • State the product domain — supporting fintech is not supporting food delivery • List the ticketing stack; familiarity is screenable and ramp-relevant
500 applications for a 20-seat support batch: 500 parses = 5,000 credits; screen 250 = 12,500 credits; with repeat applicants hitting the 1-credit cache, most batches land near 16,000–17,000 credits — inside two Business months or one Enterprise month (50,000 credits).
How do you screen hundreds of support resumes fairly?
Apply one rubric to all of them. Flocci screens every resume against the same requisition requirements — channel, language, tools, stability — and returns consistent scored reasoning, so candidate 400 gets the same evaluation quality as candidate 4. Humans audit the band edges instead of reading everything.
What matters more for support: experience or communication?
For written channels, the resume's own clarity is a live work sample and Flocci's parsing preserves it for review; for voice, experience and language coverage screen better. Encode your channel's priority into the requisition's must-haves and the scoring follows.
Can we re-screen the same pool for the next batch cheaply?
Yes — that is the cache's job. Re-screening unchanged resumes against the same JD costs 1 credit instead of 50, so monthly support batches get dramatically cheaper after the first run.
Every resume says SQL and Excel. The screening problem is separating candidates who have shipped analysis from those who watched dashboards. The signals that separate them, and how Flocci scores them automatically.
Screening signals: Analysis artifacts: described projects with a question, a method, and a decision outcome — not tool lists • SQL depth markers: window functions, query optimization, data modeling mentions signal real practice • Business domain: an analyst who knows your domain's metrics (retention, GMV, NPA — whatever yours are) ramps in weeks not quarters • Visualization with purpose: dashboards tied to decisions made, not chart galleries • Statistics honesty: A/B testing, significance, cohort framing described correctly — errors here are visible on resumes
JD advice: Name your stack (SQL flavor, BI tool, Python/R optional?) and the decisions the analyst will inform • Ask for one described analysis in the application — it doubles screening signal instantly • Separate 'analyst' from 'data engineer' honestly; mislabeled JDs attract the wrong pool entirely
150 applicants for a growth analyst role: 150 parses = 1,500 credits; screen 80 = 4,000 credits; total 5,500 credits — one ₹699 Starter month (1,500) plus a Business month covers it comfortably, or a single Business month with room to spare.
How can AI tell a real analyst from a tool-list resume?
By reading for analysis narratives: a question, a method, a decision. Flocci's screening reasons explicitly cite which projects evidence analytical practice versus which skills appear only as keywords — so your shortlist favors candidates who have actually shipped analysis.
Should we screen for Python for analyst roles?
Only if the role needs it — encode it as good-to-have unless your workflows require it. Over-requiring Python filters out excellent SQL-and-BI analysts; Flocci scores against what your requisition actually asks.
What JD change most improves analyst screening?
Stating the decisions the analyst will inform. It attracts candidates who think in decisions, gives the AI a concrete fit target, and the JD quality score will reflect the improvement immediately.
Digital marketing spans a dozen incompatible specialties. Screening well means matching channel depth to your actual need — and Flocci's requisition-matched AI scoring makes the channel mismatch visible before the interview.
Screening signals: Channel specificity: performance (Meta/Google Ads), SEO, content, social, email, and marketplace are different jobs — look for depth in yours • Numbers fluency: ROAS, CAC, CTR, organic growth figures with context — marketers who own outcomes cite them • Budget scale handled: managing ₹50k/month and ₹50L/month are different skills; match to your spend • Portfolio artifacts: campaigns, posts, rankings, or accounts that can be inspected • Tool stack: GA4, Search Console, ads managers, marketing automation — screenable ramp indicators
JD advice: Lead with the channel and the monthly budget scale — the two facts that determine fit • State whether the role is strategy, execution, or both; agencies produce executors, in-house wants owners • Ask for one campaign story with numbers in the application
200 applicants for a performance marketing role: 200 parses = 2,000 credits; screen 100 = 5,000 credits; total 7,000 credits — inside one ₹2,499 Business month, with 3,000 credits left for outreach emails at 5 credits each.
How do we avoid hiring an SEO person for a performance role?
Make the channel a must-have in the requisition. Flocci screens against your stated requirements, and its per-candidate reasoning explicitly notes when claimed marketing experience is in a different channel than the role demands — the most common mismatch in marketing hiring.
Do certifications matter in marketing screening?
As tie-breakers, yes; as primary signals, no. Google/Meta certifications indicate baseline literacy, but campaign outcomes with numbers outrank them. Flocci's parsing captures both so your rubric can weigh them your way.
What does screening 200 marketing resumes cost?
About 7,000 credits on Flocci — 2,000 for parsing all 200, 5,000 for AI-screening the plausible 100 — which fits inside one ₹2,499 Business month with credits to spare for candidate outreach.
Fresher screening cannot ask for experience — it must read projects, coursework, certifications, and initiative. How Flocci's AI weighs fresher signals fairly, at campus-drive volume.
Screening signals: Projects with ownership: built/led/shipped language on academic or personal projects beats participation lists • Skill evidence chain: a claimed skill backed by a project, certification, or competition placement • Initiative markers: internships, freelance gigs, open-source, college fest leadership — proxies for drive • Learning velocity: recent, relevant certifications show direction; a 2024 Python cert on a 2026 graduate matters • Communication baseline: the resume's own structure and clarity, especially for client-facing tracks
JD advice: Ask for projects, not experience — you will get honest, comparable signal • Name the training you provide; it widens the honest applicant pool and calms inflated resumes • Set the location, bond, and stipend/CTC facts up front — fresher no-shows halve when terms are clear
A 2,000-resume campus drive for 25 openings: 2,000 parses = 20,000 credits; AI-screen the 400 above the parse-quality bar = 20,000 credits; total ≈ 40,000 credits, inside one ₹7,999 Enterprise month (50,000 credits) — with duplicate submissions costing 1 credit via cache.
How can AI score candidates who have no work experience?
By scoring what freshers do have: project ownership, evidenced skills, certifications, initiative markers, and communication baseline. Flocci's screening weighs these dimensions against your requisition and explains each score — a consistent rubric across 2,000 resumes that no human panel can match at hour six.
Is AI fresher screening fair?
More consistent than exhausted humans, and auditable: every score carries written reasons and bias corrections are applied. Fairness ultimately depends on your requisition — Flocci's JD quality scoring flags requirements that would skew the pool before you run the drive.
What does a full campus drive cost to screen?
A 2,000-resume drive runs about 40,000 credits (parse all, AI-screen the qualified slice) — one ₹7,999 Enterprise month. Flocci's own automated drive on this engine placed 20 candidates in 6 days.
Finance hiring is credential-anchored — CA/CMA/CS, Tally/ERP stacks, GST/TDS exposure — and error-intolerant. How to encode those hard requirements into a requisition and let AI enforce them consistently.
Screening signals: Credential status precision: CA final vs inter vs pursuing are different hires — resumes blur this; screening should not • Statutory exposure: GST filings, TDS, audits, ROC compliance actually performed, with entity scale • System stack: Tally, Zoho Books, SAP FI, Excel depth — mapped to your stack • Entity complexity handled: single proprietorship books vs multi-entity consolidation is a seniority axis • Stability: finance rewards tenure; sub-year hops in accounting roles warrant a probe
JD advice: State the credential requirement exactly (CA inter acceptable? pursuing?) — ambiguity floods the pool • List the statutory work the role owns monthly (GST, TDS, payroll compliance) — it self-filters honestly • Name your accounting stack; Tally-to-SAP transitions are real ramp costs
180 applicants for an accounts executive role: 180 parses = 1,800 credits; screen 90 = 4,500 credits; total 6,300 credits — one ₹2,499 Business month covers screening plus every interview-invite and rejection email at 5 credits each.
Can AI screening verify a CA qualification?
It reads and flags what the resume claims — including distinguishing 'CA' from 'CA inter' from 'pursuing' when stated — and surfaces ambiguity as a gap in its written reasoning. Verification against ICAI records remains a human step before offer; Flocci makes sure you only verify the shortlist.
How do we screen for GST and compliance experience?
List the statutory work as must-have requirements in the requisition. Flocci's screening evaluates evidence of actually performing those filings — not just naming them — and its reasoning cites where the resume demonstrates it.
What is a fair screening cost for a finance role?
A typical 180-applicant accounts role screens end-to-end for about 6,300 credits — inside one ₹2,499 Business month — including parsing everyone and AI-screening the credential-plausible half.
Hiring HR is recursive: the candidate's own process quality is the work sample. Funnel metrics, stakeholder scale, and systems fluency separate operators from coordinators — and AI screening reads for exactly that.
Screening signals: Funnel numbers: positions closed per quarter, time-to-fill, offer-acceptance rates — recruiters who measure, deliver • Sourcing range: portals-only vs portals+referrals+direct sourcing marks the operator/coordinator line • Stakeholder scale: hiring for 3 teams vs 30, IC roles vs leadership searches • Systems fluency: ATS experience, Excel hygiene, and comfort adopting AI tooling — increasingly a core skill • Domain match: tech recruitment, volume/BPO, and executive search are distinct specialties
JD advice: State monthly hiring volume and the mix (tech/non-tech, fresher/lateral) — recruiter fit is volume-and-mix fit • Ask for funnel metrics in the application; operators have them ready • Name your tooling (including Flocci) — AI-comfortable recruiters self-select in, which is the point
90 applicants for a talent acquisition specialist: 90 parses = 900 credits; screen 45 = 2,250 credits; total 3,150 credits — one ₹699 Starter month (1,500 credits, with rollover) across two cycles, or trivially inside Business.
What should we look for when hiring a recruiter?
Measured outcomes: positions closed per quarter, time-to-fill, offer-acceptance rate, and the sourcing mix behind them. Flocci's screening surfaces which candidates evidence funnel ownership versus coordination, with written reasons you can compare side by side.
Is it strange to use AI to hire HR people?
It is increasingly the filter itself: a recruiter's comfort operating AI screening tools is now a job skill. Candidates who engage well with an AI-assisted process are demonstrating the modern toolkit your team needs.
How cheap is screening for a single HR opening?
A 90-applicant TA role screens for about 3,150 credits — coverable on the ₹699 Starter plan across its rollover window, or instantly within one Business month.
A practical, vendor-honest guide to AI resume screening in 2026: how it works, what it costs in India, where it fails, and how to run your first AI-screened hiring round in an afternoon.
AI resume screening works in two steps: parsing (converting each resume PDF into structured skills, experience, and education) and scoring (comparing that structure against the job's stated requirements to produce a ranked fit score). Good tools explain every score in writing so humans can audit the shortlist. On Flocci Talent Suite, parsing costs 10 credits and screening 50 — about ₹23 per screened candidate on the Starter plan.
Step 1 — Fix the job description first. AI screens against your stated requirements, so a vague JD produces vague scores. Separate must-have from good-to-have skills, state seniority in years and scope, and name hard constraints (location, language, credential). Flocci scores your JD's quality with concrete feedback before you spend a single screening credit — use it.
Step 2 — Get resumes in, structured. Connect the Gmail inbox that receives applications (OAuth, no password sharing) or bulk-upload files. Each resume PDF is parsed into a structured profile — skills, experience, education, projects, source — and deduplicated by content hash so the same resume never costs twice.
Step 3 — Screen, then read the reasons. Run screening against the requisition. Each candidate returns a score plus written reasoning: evidenced strengths, gaps, and a recommended action. Do not just take the ranking — read the reasons for the top band and the band below your cutoff. That audit is what makes AI screening defensible.
Step 4 — Act on every candidate. Move the shortlist through the pipeline and let email automation answer everyone else. A screening process that leaves 90% of applicants in silence is a brand cost no ranking accuracy repays.
Where AI screening fails (and what to do). AI cannot verify claims (degrees, credentials — verify at offer stage), cannot interview (it ranks paper, not people), and inherits your JD's biases (audit requirements before blaming the model). Treat it as a consistent, tireless first-pass reader whose work you can inspect — because on Flocci, every score ships with its reasoning.
Is AI resume screening accurate?
For triage — separating plausible from implausible candidates against stated requirements — modern AI screening is more consistent than tired humans and fully auditable when scores carry written reasons. It does not replace interviews; it decides who gets one, with reasoning you can check.
How much does AI resume screening cost in India?
On Flocci Talent Suite: 10 credits to parse a resume, 50 to screen it. The free plan includes 200 credits monthly; ₹699 buys 1,500 credits (~30 screenings). A typical 150-applicant role screens end-to-end for under ₹2,500 — versus days of manual reading.
Will AI screening reject good candidates?
It can if the JD encodes bad requirements — which is why Flocci scores JD quality first and explains every candidate score. Audit the band just below your cutoff weekly; if good candidates cluster there, the fix is almost always in the requisition, and it is a five-minute edit.
Is AI resume screening legal and fair to use in India?
There is no Indian law prohibiting AI-assisted screening; accountability stays with the employer. Using a tool that provides written per-candidate reasoning and applies bias corrections — rather than a black-box score — is the practical standard for defensible, fair use.
Most Indian hiring already flows through email — job portal alerts, referrals, direct applications. This guide turns a Gmail inbox into a full hiring pipeline: capture, parse, screen, track, reply.
To hire from Gmail without losing candidates: (1) route all applications to one inbox, (2) connect it to a tool that auto-extracts resume attachments into structured candidate profiles, (3) screen profiles against the job description with AI, (4) track stages on a pipeline board, and (5) automate replies so no candidate is ignored. Flocci Talent Suite does steps 2–5 natively via Google OAuth.
Why email is where Indian hiring actually happens. Naukri alerts, LinkedIn easy-applies, referral forwards, walk-in follow-ups — they all land in email. The failure mode is not missing candidates; it is losing them in threads. The inbox is a great capture net and a terrible database.
Route everything to one address. Create or designate one hiring address (careers@ or hiring@) and point every source at it — portal notifications, website forms, referral instructions. One inbox means one connection and zero missed sources.
Connect, and let extraction run. Flocci connects via Google OAuth — a scoped, revocable permission, never your password. It scans for applications, extracts resume PDFs, parses them into structured profiles, and deduplicates by content hash. WebSocket progress feeds show scans running live.
From inbox to ranked pipeline. Parsed candidates attach to your job requisitions, AI screening ranks them with explained scores, and the Kanban board becomes your single source of truth — replacing the 'starred emails' system that every team secretly runs on.
Close the loop in the same channel. Interview invites, holds, and rejections send as templated, tracked emails from the workflow — the candidate experiences one coherent conversation, and you see delivery, opens, and clicks.
Is connecting Gmail to a hiring tool safe?
Via Google OAuth, yes: you grant scoped, revocable access from your Google account — no password is shared, and you can revoke it at myaccount.google.com any time. Flocci uses OAuth exclusively and its Gmail scopes are used for application scanning, not general mailbox access.
Can I extract old applications already sitting in my inbox?
Yes. Flocci's email scraping scans existing threads for applications and resume attachments, not just new arrivals — teams routinely recover months of buried candidates on first connection.
What about applications from Naukri or LinkedIn?
Portal notification emails and easy-apply forwards land in the same inbox, so they enter the same pipeline. Flocci ingests what arrives by email regardless of the original source.
Do I need to change how candidates apply?
No — that is the point. Keep posting wherever you post; just ensure applications reach one Gmail address. The workflow upgrades behind the scenes without touching your job ads.
An applicant tracking system explained without jargon: what it does, when a spreadsheet stops working, what ATS software costs in India in 2026, and how AI changed the category.
An applicant tracking system (ATS) is software that stores every job applicant in one searchable database, tracks each candidate's stage (applied → screened → interviewed → offered → hired), and manages communication — replacing the spreadsheet-and-inbox system that breaks once applications outnumber your attention. Modern AI-era ATS tools also parse resumes automatically and score candidates against the job description.
The problem an ATS solves. Hiring produces more paper than any other business process: for one opening you might receive 200 resumes, hold 15 interviews, and send 200 communications. Below ~20 applications a spreadsheet works; beyond it, candidates get lost, duplicates multiply, and silence becomes your employer brand.
What a modern ATS actually does. Capture (applications from email, forms, uploads become records), structure (resume parsing turns PDFs into searchable skills/experience/education), evaluate (AI screening scores candidates against the JD — the 2026-era upgrade), track (a pipeline board showing every candidate's stage), and communicate (templated, tracked emails at each stage).
What ATS software costs in India (2026). Three pricing shapes exist: per-user (Zoho Recruit from ~₹1,250/user/month; Manatal from $15/user/month), enterprise quotes (Darwinbox, Zappyhire — demo-led contracts), and usage-based credits (Flocci Talent Suite — free tier, then ₹699–₹7,999/month flat where an AI screening costs 50 credits). Per-user suits dedicated recruiter teams; credits suit teams where hiring is everyone's part-time job.
Signs you need one now. You have ever interviewed someone twice by accident; a good candidate accepted elsewhere while your reply sat drafted; you cannot say how many people applied last quarter; your hiring lives in one person's starred emails. Any one of these means the spreadsheet already broke.
What is an applicant tracking system in simple words?
It is a database plus a pipeline for job applicants: every resume becomes a record, every candidate has a visible stage, and every email is tracked — so hiring stops depending on memory and inbox search.
What is the difference between an ATS and an HRMS?
An ATS manages candidates until they are hired; an HRMS (like Keka or Darwinbox) manages employees after — payroll, attendance, performance. Some suites bundle both; focused tools like Flocci Talent Suite do the ATS layer deeply and hand off at the offer.
Is there a free ATS in India?
Yes — Flocci Talent Suite's Free plan is a permanent ₹0 tier with 200 monthly credits, covering parsing, AI screening in small volumes, pipeline management, and email automation with Google sign-in.
Do ATS tools reject resumes automatically?
The mythical 'ATS auto-reject robot' mostly is not how modern tools work. AI screening ranks and explains; humans set cutoffs and make decisions. On Flocci, every score carries written reasoning precisely so no candidate is silently machine-rejected.
How to run a campus hiring drive in India end-to-end: college outreach, drive-day logistics, screening thousands of resumes with AI, offer management, and keeping joining rates above the dismal average.
A well-run campus drive has five phases: college selection and TPO outreach (6–8 weeks out), pre-registration and JD publication, screening (where AI now does in hours what panels did in days — parse all resumes, AI-score against the role, interview the top band), interview day with same-week offers, and a joining-nurture program, because Indian fresher offer-to-joining rates average barely 50% without one.
Phase 1 — Choose colleges by evidence, not brand. Past-hire performance beats institutional prestige for most roles. Track where your successful freshers actually came from and weight those campuses. Tier-2/3 colleges in Jharkhand, Odisha, and eastern UP consistently produce high-retention engineering and operations hires at lower offer-decline rates than metro tier-1 campuses.
Phase 2 — Publish a real JD, early. Vague fresher JDs ('good communication, any graduate') generate unusable applicant pools. State the role's actual work, training provided, location, bond terms if any, and CTC honestly. Flocci's AI JD quality scoring flags ambiguity before the drive — when 2,000 resumes are coming, JD precision is the highest-leverage hour you will spend.
Phase 3 — Screen with AI, interview with humans. Parse every resume into structured profiles (10 credits each on Flocci), AI-screen against the requisition (50 credits, with duplicates cached at 1), and interview the top score band. A 2,000-resume drive screens for roughly 40,000 credits — one ₹7,999 Enterprise month — and returns explained, auditable rankings the same day. Flocci's own automated drive placed 20 candidates in 6 days on this engine.
Phase 4 — Offer fast, communicate to everyone. Same-week offers measurably beat two-week offers on acceptance. Equally: every non-selected candidate gets a respectful rejection — automated email makes this free, and campus reputations compound across years.
Phase 5 — Fight the joining-rate collapse. The offer-to-joining gap is campus hiring's silent killer. Between offer and joining date: monthly touchpoints, a buddy assignment, pre-joining tasks or learning paths, and clean documentation. Treat offer-holders as pipeline, not conquest.
How many resumes does a typical campus drive generate?
A multi-college drive for 20–30 openings commonly generates 1,500–3,000 registrations in India. That volume is exactly why AI screening changed campus hiring: parsing and scoring 2,000 resumes takes hours and about 40,000 Flocci credits, versus panel-days of inconsistent manual skimming.
What is a realistic campus hiring budget for tools?
For screening tooling specifically: one ₹7,999 Flocci Enterprise month covers a 2,000-resume drive's parsing and screening. Compare that with enterprise campus-platform contracts that start in lakhs — for teams whose need is ranked shortlists rather than proctored assessments, credits are the rational spend.
How do we reduce fresher offer declines?
Honest JD terms up front (location, bond, CTC), same-week offers, and an active offer-to-joining nurture program. Companies that maintain monthly contact with offer-holders report joining rates 20-30 points above the ~50% Indian average.
Can small companies run campus drives?
Yes — tier-2/3 college TPOs actively welcome smaller employers with genuine roles. With AI screening removing the volume barrier (a founder can screen 800 resumes solo on Flocci's ₹2,499 plan), the traditional 'need a big HR team' constraint is gone.
Per-user ATS pricing charges for who might log in; credit pricing charges for work done. Worked examples across team shapes show which model wins where — including where per-user genuinely wins.
Per-user ATS pricing (₹1,250–₹2,500/user/month typical in India) costs less only when few people access the tool and usage is constantly high. Credit pricing (Flocci: free tier, then ₹699–₹7,999/month flat, 50 credits per AI screening) costs less when many people touch hiring occasionally or volume is bursty — the overwhelming shape of Indian startup, SME, and agency hiring.
The two models, stated plainly. Per-user: every account with login access costs a monthly fee, hire or not. Credit/usage: the team is unlimited; actions cost credits (on Flocci: 50 per AI screening, 10 per parse, 5 per email, 1 per cached re-screen) from a monthly plan allowance with rollover.
Worked example — the 5-person startup. Founder, two engineers, an ops lead, and an office manager all touch hiring for 2-3 roles a quarter. Per-user at ₹1,250: ₹6,250/month = ₹75,000/year regardless of hiring pauses. Flocci: ₹699 Starter months during active quarters, free months between — typically under ₹6,000/year. Credit model wins by ~12×.
Worked example — the recruitment agency desk. Four consultants screening ~150 candidates monthly. Per-user at ₹1,250-2,500: ₹5,000–₹10,000/month. Flocci Business: ₹2,499 for 10,000 credits ≈ 200 screenings, everyone included, 3-month rollover absorbing lumpy mandates. Credit model wins ~2-4×, plus the cache discounts repeat candidates to 1 credit.
Where per-user honestly wins. A dedicated recruiter running continuous extreme volume — one seat, thousands of monthly actions — can beat credit pricing on a single per-user license. If that is your shape, a per-user tool is rational; most Indian teams are not that shape, and multi-seat reality reverses the math immediately.
The hidden clauses to check anywhere. Per-user tools: minimum seat counts, annual lock-ins, per-module add-ons. Credit tools: expiry policies and top-up rates. Flocci's terms are published: credits roll over per plan (1–6 months), in-app top-up packs price at 0.8×, and the free tier is permanent.
What is credit-based pricing in recruitment software?
You buy a monthly allowance of credits and spend them on actions — on Flocci, 50 for an AI screening, 10 for a resume parse, 5 for an email. Team size never affects the bill, so five occasional users cost the same as one. Unused credits roll over (1–6 months by plan).
Is credit pricing cheaper than per-user ATS pricing?
For teams where several people touch hiring occasionally, almost always — a 5-user team pays ₹6,250+/month on typical per-user Indian ATS pricing versus ₹699–₹2,499 flat on Flocci. For a single dedicated recruiter at continuous extreme volume, per-user can win; check your shape against the worked examples.
What happens to unused credits?
On Flocci they roll over — 1 month on Starter, 3 on Business, 6 on Enterprise — and the free plan's 200 credits refresh monthly. Top-up packs bought in-app price at 0.8× when a burst exceeds the plan.
Indian tech and services hiring averages 30–45 days per role. The delay hides in five specific gaps — screening lag, scheduling drift, decision loops, offer latency, and silence costs. Here is the audit and the fixes.
Time-to-hire shrinks fastest by attacking screening lag (the days resumes sit unread — AI screening compresses this to hours), then decision loops (written screening reasons replace committee meetings), then offer latency (same-week offers beat two-week offers on acceptance by wide margins). Most teams recover 10–15 days without touching interview quality.
Audit first: timestamp your last three hires. For each: application date, first human touch, first interview, decision, offer, acceptance. The gaps between stages — not the stages themselves — hold the recoverable days. Flocci's analytics tracks these stage durations continuously once your pipeline runs through it.
Gap 1 — Screening lag (typical: 5–10 days, recoverable: almost all). Resumes wait for a human with time to read. AI screening removes the wait: Flocci parses on arrival and returns ranked, explained scores the same day, so the shortlist exists while competitors' resumes still sit unread. This is the single largest and cheapest recovery.
Gap 2 — Decision loops (typical: 3–7 days). 'Let's discuss the candidates' meetings orbit calendars. Written AI screening briefs — score, strengths, gaps, recommendation per candidate — let stakeholders review asynchronously and meet only to break ties.
Gap 3 — Offer latency (typical: 3–5 days). Approval chains and letter drafting leak days at the exact moment candidates hold competing offers. Pre-approve bands before interviews and template the letters; Flocci's email automation sends the moment the decision lands.
Gap 4 — The silence tax. Every unanswered candidate quietly extends future hiring: they do not reapply, and they tell others. Automated stage communication keeps the funnel warm and the brand hiring-friendly — at 5 credits per tracked email, silence is the only thing that is expensive.
What is a good time-to-hire in India?
Under 21 days from application to accepted offer is strong for lateral tech and services roles (the common average runs 30–45). Teams using AI screening routinely operate at 14–21 days because the shortlist exists on day one instead of day ten.
What reduces time-to-hire the most?
Eliminating screening lag. Resumes typically wait 5–10 days for human reading; AI screening returns ranked, explained candidates the same day they arrive. Second is replacing candidate-review meetings with written screening briefs; third is same-week offers.
Does hiring faster mean hiring worse?
No — the recovered days come from queues, not evaluation. Candidates are assessed by the same rubric (more consistently, with written reasons); they simply stop waiting in line. Interview depth is untouched; offer acceptance actually improves because good candidates are still available.