Recruit The Real.
IntelliHyre runs every candidate through a four-stage pipeline — from AI resume screening to deepfake detection — and hands clean, verified data back to your ATS.
API-first · ATS-native · No biometric hardware required
Less guesswork.
More good hires.
Faster screening
Hundreds of CVs sorted in minutes — not days of reading.
Fewer bad hires
Fakes and mismatches get caught before they ever reach you.
Proof for decisions
Every check comes with a clear reason you can stand behind.
Easy to fit in
Works alongside the tools and process your team already uses.
Every candidate.
Every signal.
Every stage.
Most hiring processes rely on gut feel and manual checks. IntelliHyre systematises intelligence. Each of the four stages is independent, configurable, and purpose-built for a specific fraud and quality signal. Run all four sequentially or plug in only the stages you need — the output is a clean, scored candidate record ready for your ATS.
STAGE 01 · AI SCREENING
Resume Intelligence & Shortlisting
Your JD. Your rules. AI that actually understands both.
IntelliHyre analyses resumes in any format and runs them through a dual-engine analysis. The LLM layer understands context, semantics, and nuances just like any senior recruiter would. The embedding engine converts candidate profiles and job descriptions into high-dimensional vectors and ranks candidates based on fit.
STAGE 02 · DIGITAL FOOTPRINT
Candidate Identity Intelligence
The resume says one thing. The internet says another.
IntelliHyre cross-validates a candidate's claimed identity and professional history against their actual digital presence. Powered by Atna's Intelli Digital Footprint engine, this stage queries live data across 400+ open-source and commercial signals. The engine detects and correlates data between the synthetic and the real.
STAGE 03 · BIOMETRIC ASSURANCE
Deepfake & Impersonation Detection
The person in the interview must be the person you hire.
When a candidate uses a live deepfake overlay, a face-swapped video stream, or a hired proxy, IntelliHyre detects it. Deploying a multi-modal AI assurance layer that operates in real-time during video interviews, with a biometric binding report generated after every interview confirming the actual presence of the individual in the interview.
STAGE 04 · DOCUMENT FORENSICS
Credential & Document Verification
A forged degree used to take weeks to catch. Now it takes seconds.
IntelliHyre's document forensics engine powered by Tru Docs performs AI-native forgery detection across all hiring-critical documents. Every document receives a forensics verdict with a full evidence trace and flagged anomalies are cited precisely. The reports are correlated with other IntelliHyre checks, giving you a 360-view.
Plug in. Don't
rebuild.
Atna API — Embed IntelliHyre Anywhere
Every stage of IntelliHyre is exposed as a standalone REST API. Call Stage 1 from your ATS, trigger Stage 3 from your video interview platform, and receive structured JSON verdicts in real time. Modular by design — use one stage or all four.
SDKs available for Node.js, Python, Java, and Go. OpenAPI spec and Postman collection included in your developer portal from day one.
Atna Platform — Full-Stack, Zero-Integration
Don't want to build? Use the Atna Platform directly. Upload candidate data, configure your pipeline, and receive a fully formatted candidate intelligence report — no engineering resource required. Ideal for recruitment teams who need results now, not in a sprint.
Native connectors to Workday, Greenhouse, Lever, SAP SuccessFactors, and iCIMS. Custom ATS integration available on Enterprise plans.
Bring your own
rules.
IntelliHyre's Stage 1 rule engine lets clients configure their own shortlisting logic — no code required for standard rules, full programmatic control for complex ones. Set hard gates (minimum years of experience, mandatory certifications), weighted scoring (prioritise certain skills over others), and exclusion logic (auto-reject for flagged fraud signals from Stages 2–4).
The model can be fine-tuned on your historical hiring data to align output with your organisation's definition of a great hire.
// IntelliHyre Rule Config — Stage 1
{
"role": "Senior Backend Engineer",
"hard_gates": {
"min_experience_years": 5,
"required_skills": ["Go", "Kubernetes"]
},
"scoring_weights": {
"open_source_contributions": 0.30,
"system_design_experience": 0.40
},
"fraud_auto_reject": true,
"fine_tune_model": "your-org-model-v3"
}end-to-end Stage 1 screening per resume
digital signals queried per candidate in Stage 2
deepfake detection accuracy across known generative models
countries covered for document and credential verification