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F.2 · AI Services & AI-Based Products

Document and Knowledge Intelligence

Retrieval that cites its source, across contracts, drawings, and archives

  • RAG
  • OCR
  • Hybrid retrieval
  • Re-ranking
  • pgvector
  • Citations
A GPU server blade laid out flat beside its cooling blocks and processors

What we build

Retrieval systems over document estates that were never designed to be queried. Includes layout-aware parsing of PDFs, scans, and technical drawings, table and field extraction with per-field confidence, hybrid vector and lexical retrieval with re-ranking, chunking tuned to document structure rather than character count, answers bound to a citable source page, and incremental re-indexing as the corpus changes.

Capabilities

  • Layout-aware parsing of PDFs, scans, and technical drawings
  • Table and field extraction with a confidence score on every value
  • Hybrid vector and lexical retrieval with cross-encoder re-ranking
  • Answers bound to a citable source page, and no answer returned when the evidence is thin
  • Incremental re-indexing and permission-aware retrieval for every reader

Related services

How it connects

Where it sits in the stack.

This system, and the two it hands off to. None of them can be optimized alone.

01You are here

Document Intelligence

Retrieval systems over document estates that were never designed to be queried.

02

Agentic Systems & Copilots

Multi-step agent runtimes wired into the systems an organization actually runs on.

AI Services & Products · see service
03

Computer Vision Systems

Vision pipelines that run at the speed of the process they watch.

AI Services & Products · see service

Bring us the whole stack.

Tell us where latency is costing you, from the die to the data center to the control room. An architect replies with a first read of the problem, not a sales deck.