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v1.1.1·Released 2026-05-13

About Talent Agent AI

Talent Agent AI is an AI-native recruiting platform that connects candidates and hiring teams through structured, evidence-backed evaluation — not keyword matching.

What we're building

Traditional recruiting is noisy on both sides. Candidates spend hours tailoring applications to beat keyword filters that don't reflect actual fit. Recruiters spend hours screening resumes to find the handful of candidates worth talking to. Neither side gets a useful signal quickly enough.

Talent Agent AI replaces that process with structured evaluation. Candidates build rich, structured profiles — not formatted documents. Recruiters define evaluation criteria through workflows that reflect what a role actually requires. The platform runs agent-driven assessments against those criteria and surfaces ranked matches with explanations, so both sides spend their time on the conversations that matter.

The platform is designed to make recruiters more effective, not to replace them. Every match, ranking, and evaluation output is a recommendation. Recruiters stay in full control of their pipeline.

How it works

Structured profiles

Candidates build profiles that go beyond resume formatting — capturing experience, skills, and goals in a way the platform can actually evaluate.

AI evaluation

Configurable AI agents assess candidates against role-specific criteria. Prompts and models are fully controllable by platform admins.

Ranked matching

Candidates are ranked by genuine fit, with full explanations for each match — not by keyword density or application speed.

Privacy by design

Candidate identity is never shared until they're explicitly advanced in a pipeline. Evaluation happens on structured data, not personal identifiers.

Platform info

Version
v1.1.1
Released
2026-05-13
Stack
Next.js 14 · FastAPI · PostgreSQL · configurable LLM
Evaluation models
OpenAI · Anthropic · Google Gemini (per-agent configurable)