Product

A shortlist. Not a spreadsheet.

From job post to ranked candidates. Measurable and repeatable.

Search understands what the role actually needs.

Job posts and candidate profiles are embedded and indexed for vector similarity search.

Every match scored and decomposable.

A weighted ranker combines vector similarity and candidate scoring to produce top candidates fast.

Outreach runs on cadence. Replies tracked automatically.

AI-generated multi-variant outreach with cadence scheduling and open/reply tracking.

See exactly where time is being lost.

P50/P95/P99 sourcing time, response rates, and by-skill breakdowns via APIs and UI dashboards.

Designed for regulated hiring

Match quality, outreach cadence, and auditability matter. Instant Match is built to stay measurable and defensible.

RecruitingInstant MatchAuto-OutreachAnalytics
Example top matches

Scores shown are illustrative. Production timing and accuracy targets require validation.

Candidate A
Match 92Resume 88
Oncology, HIPAA, QA
Candidate B
Match 89Resume 84
Genomics, Python, Review
Candidate C
Match 86Resume 81
Chemistry, Safety, Rubrics
How it works
  1. Embed: Generate embeddings for candidates and job descriptions.
  2. Search: Vector search returns relevant candidates quickly.
  3. Rank: Similarity + candidate score produce a match score and breakdown.
  4. Reach: Outreach sequences run on a cadence; opens/replies feed analytics.
  5. Measure: Sourcing speed and response metrics show where to improve.
Truth check

Semantic search, match ranking, outreach cadence processing, and engagement tracking exist in the repo. Achieving specific latency and pipeline-size metrics requires external validation and rollout.

Platform preview

Every match. Every factor. Fully explained.

Every match score is decomposable. See which factors contributed most and adjust weights per role.

Search Results — "Clinical NLP Specialist"
4 results from 1,248 candidates~230 ms (illustrative)
Dr. A. PatelBoston, MA
Clinical NLP Specialist
Available now96
Semantic: 94Experience: 98
OncologyHIPAANLPPython
M. NakamuraSan Francisco, CA
Genomics Data Reviewer
2 weeks93
Semantic: 91Experience: 95
GenomicsQARubricsR
L. AndersenRemote (EU)
Safety & Bias Analyst
Available now90
Semantic: 92Experience: 88
RLHFBiasEthicsAnnotation
R. GuptaAustin, TX
LiDAR Annotation Lead
1 week87
Semantic: 85Experience: 89
LiDAR3D AnnotationQACalibration
Ranking Weights — Configurable
Semantic similarity40%
Experience score25%
Skill coverage20%
Availability10%
Referral bonus5%
Ranking performance
Recall@10
87%
P50 latency (illustrative)
~180 ms
Weights adjustable per role templateLast calibrated: 3 days ago

Illustrative UI. Match scores, ranking factors, and candidate data depend on your index and role configuration.

Bring a role description. We'll run the match.