The retrieval layer your AI features need before they can be accurate.
Data pipelines, lakehouses, vector search infrastructure, and retrieval-augmented generation (RAG) architectures engineered for scale and auditability.
< 80ms
Hybrid search latency
100%
Source attribution
SOC 2
Audit ready
Zero
Data leakage
Engineering Outcomes
Deterministic semantic search with verified source attribution.
Key Standards & Operating Principles
- Hybrid dense (vector) and sparse (BM25) search with cross-encoder rerankers.
- Chunking strategies tailored to contracts, financial tables, and technical specs.
- Client-level permission inheritance preventing cross-tenant leakage.
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Tell us the workflow. We will tell you if AI is the answer.
Five questions, about forty seconds. You get a reply from an engineer within one business day — with a real opinion, not a brochure.
Mon–Fri, 9:00–18:00 ET · New York, NY — remote-first across US time zones