AI Search for recruiting, built for relevance & scale
We instantly recommend candidates for a job or jobs for a candidate using proprietary match technology, not keywords, not agentic prompts. Get better recommendations, fast at scale, directly in your ATS or job board.
- No keyword hacks — semantic, structured & signal-aware
- No naive agentic/LLM loops — deterministic, cost-predictable
- Built for volume — sub-second retrieval over millions of profiles
- Explained results — skills, titles, tenure, recency, constraints
Understands skills, seniority signals, tenure, recency & context — not just words.
Indexes millions of profiles & jobs with low-latency retrieval and stable costs.
Each hit includes reasons — e.g., skills overlap, title proximity, recency, location.
From raw text to relevant results
Simple 4-step process that delivers intelligent search results in real-time.
ATS/job board or API. We handle credentials & secure sync.
We parse & enrich your candidate database and jobs; optional anonymisation.
We wire where results appear: job view, candidate view, search pages, webhooks.
Real-time recommendations appear directly in your product UI.
Need external sources? We support custom connectors for third-party databases, with dedupe & consent-aware blending.
- Keywords miss synonyms, seniority and context; we model skill graphs & signals.
- Agentic/LLM search loops are slow and costly at volume; our retrieval is deterministic & scalable.
- We explain results — factors & reasons — so teams can trust recommendations.
Work with your APIs & webhooks; we never break your workflows.
Job page → Recommended candidates. Candidate page → Recommended jobs.
Blend your DB with third-party sources. Dedupe, consent & policy-aware.
Typical rollout: connect → process database → wire surfacing → validate results with your team.
Keywords can't model skills, seniority, tenure, recency or adjacency. We combine semantic vectors with structured features for precision.
We use LLMs where they add value (e.g., summaries), but not for high-latency retrieval loops. Search itself is deterministic and cost-predictable.
Designed for sub-second recommendations at multi-million document scale, depending on load and filters.
Inside your ATS/job board — typically on job and candidate pages, and in search results via components or notes.
Yes. We offer custom connectors and dedupe across sources to keep only relevant, consent-compliant profiles.
Ready for relevance at scale?
Switch off keyword search. Ship AI Search that finds the right people — fast — inside your ATS or job board.