ChitraYantra Technologies presents EvidenceHire

The intelligence layer for what people actually know.

EvidenceHire turns self-reported claims into inspectable evidence. It verifies candidates for recruiters and runs live, placement-ready interviews for whole classrooms — using a deep AI system built to find substance, not just polish.

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specialised verification stages

modules on one AI engine

multiple-choice questions

inspectable record per person

What EvidenceHire changes

From good-looking applications to evidence that can survive a follow-up.

The internet made it cheap to write a credible résumé, application or answer. EvidenceHire gives recruiters and educators a better signal: sourced work, adaptive questioning, clear uncertainty and a record that a human can reopen.

The deep AI engine

Not one generic prompt. A system that carries evidence forward.

EvidenceHire breaks a high-stakes decision into specific jobs. Information enters as an evidence pack; specialist agents do bounded work; an interviewer creates new signal only where the evidence is thin; a final record shows what informed the result.

See the full verification pipeline →

Abstract visualisation of sources flowing through a deep AI engine to recruiter and educator outputs

01
Evidence in
Public professional sources, candidate documents, role requirements and course material become a labelled, reusable evidence pack.
02
Specialist agents
Narrow agents normalise, corroborate claims, find gaps, create probes and keep source evidence attached to each conclusion.
03
Adaptive conversation
A live interviewer listens, follows up and tests first-hand reasoning — a fundamentally richer signal than a static test.
04
Decision record
Recruiters receive cited role fit. Faculty receive topic-level readiness and cohort insight. Both can inspect the underlying record.

Two markets, one compounding system

The same conversation engine answers two high-stakes questions.

Is this candidate’s experience real enough for this role? Is this student ready enough for the room they are about to enter?

01 · Recruiter

Recruiter module · Hiring intelligence

Make every hiring claim earn its place on the shortlist.

EvidenceHire reconstructs a candidate's professional footprint across the sources they have actually left behind, labels the strength of every relevant skill claim, then checks the open questions with an assessment or spoken AI interview.

Evidence-linked skill verdicts, with depth, recency and confidence
Role-specific fit rather than a generic candidate score
Open scenarios and adaptive AI interviews for thin evidence
A cited, auditable record for a recruiter to inspect

See how this module works →

Student taking a live AI practice interview with an abstract cohort dashboard

02 · Educator

Educator module · Placement readiness

Give every student the interview before the panel does.

Point the same engine at the curriculum instead of a job description. Faculty approve the interview topics; students take one timed, spoken mock interview; the institution gets an evidence-backed view of readiness across the class.

Topics drafted from taught material and edited by faculty
One class link, one attempt, no account or install
Topic-level knowledge and separate problem-solving feedback
Student, cohort, department and term-level reporting

See how this module works →

Why this matters to an investor or programme partner

AI infrastructure with a real human decision at the end.

EvidenceHire is being built for the standard serious AI backers expect: an ambitious technical core, clear user value, defensible data flows, global relevance and a product that makes consequential decisions more inspectable — never less.

A reusable evidence graph

A person's source pack is content-hashed and reused across roles. New screening becomes quicker and cheaper without pretending stale evidence is new.

Two products, one hard core

Recruiter verification and campus readiness share ingestion, interview, grading and audit infrastructure while serving two distinct, urgent buyers.

AI where it improves the signal

The system uses AI to read unstructured evidence and ask adaptive questions, then pairs it with defined schemas, deterministic scoring and human review.

A defensible data product

Each use creates structured skill, evidence and performance records that power better screening, practice, reporting and re-engagement over time.

Responsible by architecture

AI should make the decision easier to challenge.

The system is designed so an output can be traced to a source, a transcript or a defined calculation. It informs a recruiter or faculty member; it does not replace them.

No protected attributes

Gender, race, age, religion, disability and profile photos are excluded from scoring and ranking. Only job-relevant evidence counts.

The human makes the call

Every report is decision support. The real-person check on a live interview is advisory and never an auto-reject.

Tenant-isolated, GDPR-aligned

Every query is scoped to your organisation, and documents and recordings live in access-controlled storage.

Auditable by design

Verbatim citations, per-stage run logs and a faculty-override trail. Anything the system concluded can be reopened.

EvidenceHire

Build your shortlist or your placement cohort on a better signal.

Request a conversation →Visit EvidenceHire ↗

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