RecruitmentIQ is the AI-powered recruiting platform for staffing agencies and enterprise HR teams — built for how India hires. Upload your CVs, get a ranked shortlist that weighs CTC and notice period, screen candidates over WhatsApp, and source straight from Naukri and Foundit. Your consultants stay focused on relationships. The AI handles the rest.
Staffing agencies handle high volumes of inbound resumes while coordinating with enterprise clients on tight deadlines. Without AI-assisted screening and a unified CRM, your team spends the majority of their time on administration — not placements. The agencies placing the most candidates in 2026 are the ones that solved this problem first.
RecruitmentIQ transforms candidate tracking and agency operations from a fragmented stack to an integrated, AI-assisted hub.
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Let's show you it working on your type of roles — live, not a recording.
Global ATS platforms bolt these workflows on. RecruitmentIQ starts from them — WhatsApp as the primary channel, Naukri and Foundit as the sourcing pools, and CTC & notice period as first-class ranking signals.
Most ATS platforms were designed for Western enterprise hiring and adapted for India afterwards. The difference shows up in the workflows your recruiters run every day.
| Capability | Typical global ATS | RecruitmentIQ |
|---|---|---|
| Candidate ranking | ✕Keyword and skills matching only | ✓Skills + experience blended with notice period and expected-CTC-vs-budget — immediate joiners rank higher |
| ✕Template messages via a third-party connector, tied to one recruiter's phone | ✓Shared team inbox, one-click JD blasts, and a screening chatbot that fills profiles automatically | |
| Indian job boards | ✕Manual resume downloads and re-uploads | ✓Naukri & Foundit email auto-import plus a browser extension with duplicate check before you spend a credit |
| CTC & notice period | ✕Free-text custom fields, if anything | ✓Structured fields (fixed vs variable CTC, notice days) that drive filters and the match score |
| Client submissions | ✕One pipeline per candidate — parallel clients tracked in spreadsheets | ✓One candidate to many clients in parallel, per-client status and feedback |
| Duplicate data | ✕Dedup cleanup tools you run after the mess exists | ✓Dedup at every entry point — upload, webhook, and extension — merge instead of duplicate |
| Bulk AI analysis | ✕Frozen spinner; a timeout loses everything | ✓Background jobs with a live progress bar; results stream in as they complete |
The only recruitment CRM where WhatsApp, Naukri/Foundit, CTC, and notice period are first-class citizens — built for Indian staffing agencies, not adapted for them.
RecruitmentIQ maps directly to recruiting pipelines with 11 automated, intelligent workflows:
"A recruitment agency receives hundreds of candidate resumes in various file formats (such as PDF and Word .docx documents) daily."
Recruiters spend hours opening, reading, and manually copying skills, work histories, contact info, and education details into a database, leading to processing bottlenecks and missed strong candidates.
Recruiters bulk-upload all files at once. The AI model extracts a structured profile from each CV — name, skills, experience, education — and stores it instantly. A fallback parser ensures 100% uptime even if the AI service experiences latency.
"A hiring manager has a specific job description requiring AWS, React, and TypeScript, and wants to quickly identify the top fits among 50 newly uploaded profiles."
Reviewing resumes manually against a complex JD is subjective and slow. Strong candidates with non-standard CVs get missed; weaker candidates with the right buzzwords get through.
The gap analysis engine compares each candidate's skills, years of experience, and education against your defined role requirements. It returns a match percentage, matched vs. missing skills, and a shortlist recommendation — applied consistently to every applicant.
"A recruiter shortlists a developer and wants to invite them to schedule a call via Email, WhatsApp, or LinkedIn."
Copy-pasting invitation letters and tracking candidate interest across email logs, WhatsApp messages, and LinkedIn threads is disorganized and leads to high candidate drop-out rates.
RecruitmentIQ generates personalized outreach messages and sends them via the recruiter's preferred channel. A secure response link lets candidates accept or decline with one click — and the CRM updates automatically the moment they respond.
"An agency managing multiple open roles needs a real-time, visual overview of candidate progress from initial screening to offer stage."
Static spreadsheets and tables make it impossible to see the pipeline at a glance, leading to delayed follow-ups and candidates being neglected between stages.
An interactive Kanban board maps 7 stages from New to Hired/Rejected. Dragging a card to a new column instantly updates the candidate's status, records a timeline event, and triggers any configured automation rules for that stage.
"A recruiter is preparing to interview a candidate for a DevOps Engineer position and needs questions that focus on that specific candidate's profile gaps."
Recruiters often use generic, copy-pasted interview questions that fail to probe the specific skill gaps identified during screening, wasting interview time and reducing decision quality.
The AI generates exactly 4 tailored questions per category — technical, behavioral, situational, and culture fit — based on that candidate's specific gap analysis results. Questions are ready before the interview and displayed as interactive checklists for note-taking.
"A candidate doesn't meet requirements and the agency needs to let them know professionally."
Agencies struggle to write warm, customized rejection emails at scale. The result: candidates get ghosted, which damages the agency's reputation and future candidate pipeline.
Clicking 'Decline' triggers AI-generated email copy that acknowledges the candidate's specific background, explains the gap empathetically, and encourages future applications. A well-formatted fallback template fires automatically if the AI service is offline.
"An agency successfully places a developer at a client firm and needs to issue a commission invoice based on the agreed fee structure."
Tracking contingency percentages and flat retainer rates across multiple client accounts manually is error-prone and causes invoice disputes and payment delays.
Client fee structures are stored in the CRM once and applied automatically on every placement. The moment a candidate is moved to Placed, an invoice is calculated and generated — contingency fees multiplied from actual salary, retainers charged at the flat rate.
"An agency owner wants to ensure recruiters follow up consistently and no candidate stalls in the pipeline without action."
Recruiter workloads make consistent follow-up impossible. Candidates go cold, SLAs get breached, and placements are lost — not from lack of interest, but from lack of visibility.
An automation rules engine maps pipeline events to actions. A background scheduler runs daily, identifies applications idle for a configured number of days, and sends targeted reminders to the responsible recruiter — so no deal slips through the cracks.
"A recruiter needs current CTC, expected CTC, and notice period from 40 shortlisted candidates before submitting them to a client."
Chasing candidates for compensation details over calls and messages takes days, and answers scribbled in chat threads never make it into the database.
One click starts a WhatsApp screening conversation. The chatbot asks each question in sequence and parses Indian salary notation — '12 LPA', '₹12,50,000', '1.2 cr', '2 months notice', 'immediate' — writing the structured answers straight onto the candidate record and logging a summary note for the team.
"An agency has a strong Java developer that three different corporate clients would pay a fee for, each at a different stage of interest."
A single pipeline status can't represent parallel client processes. Agencies fall back to spreadsheets, and client feedback gets lost between recruiters.
Client Submissions track every candidate-to-client pairing independently — submitted, in review, shortlisted, rejected, interview, offer, placed — with per-client feedback logged against each submission and surfaced on the candidate's profile.
"A recruiter finds a promising profile on Naukri and is about to spend a paid download credit to unlock it."
Job-board download credits are one of an agency's biggest sourcing costs, and there's no way to know the candidate is already sitting in your own database under a slightly different email.
The RecruitmentIQ browser extension adds a 'Check duplicate' button on Naukri and Foundit profile pages. It matches by phone, email, and name+company against your database before you spend the credit — and one-click import merges into the existing record instead of creating a duplicate.
Enterprise-grade infrastructure — encrypted, GDPR-compliant, and hosted on AWS. The platform doesn't go down during peak hiring periods.
Fully configured and ready to use within 5 business days.
Most teams are fully operational within 5 business days. We handle the initial setup, configure your role templates, and walk your team through the platform. No IT project required.
We can integrate with most enterprise ATS platforms as part of your onboarding. If you're using a custom or niche system, our team will assess compatibility during the demo. Most integrations are live within the onboarding window.
Keyword matching scores candidates by whether terms appear in their CV. RecruitmentIQ scores candidates against role-specific requirements you define — skills depth, experience years, qualification relevance — applied consistently to every applicant. The result is a shortlist built on substance, not terminology luck.
Yes. All candidate data is encrypted at rest and in transit, stored on AWS infrastructure, and handled in accordance with GDPR requirements. A data processing agreement is available on request.
Pricing is based on your team size and monthly role volume. Most teams see full ROI within the first month. Book a demo and we'll give you a custom quote — no obligation.
Yes. Our demo is a live walkthrough, not a recorded presentation. You'll see RecruitmentIQ screen and rank candidates in real time against a sample role from your industry.
PDF and Word (.docx) formats are fully supported. A fallback parser ensures 100% uptime — even if the AI service experiences latency, candidate contact details and skills are extracted automatically.
Yes. RecruitmentIQ features an automation rules engine matching events like status changes and scheduled interviews to actions. A background scheduler monitors SLAs, reminding recruiters if a candidate sits idle for too long — so no deal goes cold.
Yes. Applicant notification emails from Naukri and Foundit (Monster India) are imported automatically via webhook, and our browser extension lets recruiters import profiles directly from both portals — with a duplicate check before you spend a download credit, so you never pay twice for the same candidate.
Every recruiter works from a shared team WhatsApp inbox — all conversations, unread counts, and candidate matching by phone number in one place. You can blast a job description to an entire pipeline in one click, and a screening chatbot asks candidates their current CTC, expected CTC, and notice period, parsing replies like '12 LPA' or '2 months' straight into their profile.
Whether you're running a staffing agency that wants to scale placements, or an enterprise HR team looking to cut time-to-hire — RecruitmentIQ automates the grind so your team focuses on what matters. Let's show you it working with your type of roles.
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