AI Vector Recruiting Engine
Wedon'tfindcandidates.
We compute them.
Legacy ATS relies on noisy keyword matching. We map human experience into a 1536-dimensional hyper-space for mathematically guaranteed hires.
EngineeringSuperiority.
O(1) Similarity Search
By combining Asynchronous PostgreSQL with C-compiled Native Vector extensions (`pgvector`), we execute deep Cosine Similarity algorithms at the absolute hardware limit.
SELECT id, 1 - (embedding <=> query_embedding) AS score
FROM candidates
ORDER BY embedding <=> query_embedding LIMIT 1;
FROM candidates
ORDER BY embedding <=> query_embedding LIMIT 1;
Zero-Trust
Bias Control
Our embedding models are mathematically stripped of gender, race, and age classifiers before matching occurs. Pure meritocracy.
Magic-Byte Parsing
Automatic PDF extraction pipeline that reads raw byte-streams to perfectly parse chaotic resumes.
Automated Workflows
Instantly generate tailored interview questions and match explanations per candidate.
NO KEYWORDSPURE MATH
NO KEYWORDSPURE MATH
NO KEYWORDSPURE MATH
NO KEYWORDSPURE MATH
15ms
P99 Latency
1536
Dimensions
98%
Accuracy