TalentIQ
- CATEGORYAI recruitment screening
- ENGINELLM scoring + semantic
- FORRecruitment agencies
- STATUSProof of concept
Score, rank, and search your entire talent pool with deep LLM profile analysis — every decision explained in plain language, every weight recruiter-controlled. Search by intent, deliver branded shortlists, and run the full pipeline from job to hire. Built by IndiaNIC.
Manual screening is slow, and it misses people.
Hours lost to resume review, keyword filters that drop qualified people, and black-box AI nobody trusts. TalentIQ answers all three — a demonstration of our NLP and AI/ML engineering.
spent reviewing resumes for a single hire
of qualified candidates missed by rigid keyword filters
explanation from legacy black-box ranking AI
the role’s annual salary lost to one bad hire
Every score, shown its work.
No mystery number. Each candidate gets a weighted breakdown, a fit verdict, a written rationale, and a standout insight you can actually defend to a client.
Shipped a design-system used across 6 teams — unusually strong platform ownership for the years of experience. Salary expectation within budget.
The whole agency workflow, in one system.
Score with transparency, search by meaning, collaborate with clients, and run the pipeline at scale.
- 01 · PILLAR
Explainable AI scoring
Every candidate scored 0–10 across five configurable dimensions, with written rationale and a standout insight — no black box.
- 02 · PILLAR
Semantic talent search
Plain-language search (“a senior React dev who led teams in fintech”) that understands intent, not keywords.
- 03 · PILLAR
Collaboration multiplier
A branded, real-time client portal where companies review, comment on, and approve candidates — no email threads.
- 04 · PILLAR
Enterprise-scale pipeline
Parallel resume processing plus a full Kanban hiring pipeline with stage logging and a complete audit trail.
Post, screen, collaborate.
From job posting to a branded client shortlist, the whole loop runs in one transparent system.
Post & upload
Create a job (or duplicate one), add candidates, and drop in resumes plus portfolio files and URLs.
AI screens in parallel
“Parse & Prepare” ingests everything, then the engine scores 300+ resumes simultaneously across five dimensions — and explains each.
Rank, search & collaborate
Review the ranked shortlist, search the talent pool in plain English, and hand clients a branded portal to comment and approve.
Transparent, tunable, recruiter-controlled.
The scoring engine keeps humans in charge — configurable weights, visible context, and rationale on every result.
- 01 · FEATURE
Five weighted dimensions
Skills Fit, Experience, Education, Keyword & Domain Match, and Contextual Indicators — default weights overridable per job.
- 02 · FEATURE
Six-tier fit labels
From Exceptional to Not Suitable, with admin-configurable score boundaries, names, and colours.
- 03 · FEATURE
Written rationale
Key strengths, key gaps, and an overall recommendation in plain language for every candidate.
- 04 · FEATURE
AI Standout Insight
A free-form observation beyond the grid — unusual expertise, self-directed learning signals — in a highlighted panel.
- 05 · FEATURE
AI Context Viewer
See exactly what the model saw: job context, candidate sections, excluded items — read-only and fully transparent.
- 06 · FEATURE
Salary flag, never scored
Compares expectation vs budget as a visual indicator only — it informs, it never sways the score.
Hand clients a portal, not an email thread.
A branded, scoped space where clients review and approve in real time — and recruiters keep contact details and internal notes private.
Branded shortlist portal
Your brand, your credibility — clients review scores, fit labels, strengths, gaps, and standout insights in one place.
Real-time review & approval
Comment and approve with drag-and-drop stage management, replacing scattered email back-and-forth.
Scoped visibility
Clients see all AI result data — but never candidate contact details or recruiter internal notes.
Semantic talent pool
“React developer, rejected for location, score above 7” — parsed into filters plus vector ranking, with the interpretation shown.
A real build, not a mockup.
Screening you can actually explain.
TalentIQ started as a proof of concept. Tell us your hiring workflow and the decisions you need to defend, and we'll stand up a working build on your data — fast.