Capabilities

Grounded RAG and retrieval.

Retrieval systems over difficult real-world documents: slide decks, scans, charts, draft-contaminated and bilingual corpora. Every answer traces to a source; anything unciteable is omitted, not asserted.

A retrieval demo is easy. A system you can defend in front of a government client is not. The difference is whether grounding lives in the architecture or in the prompt.

Claims backed by links

The evidence.

ProofGrounded RAG and retrieval

Cited intelligence workspace over a ~3,900-page national strategy corpus: hybrid retrieval, 10,389 cited fact cards, zero measured leakage

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ProofGrounded RAG and retrieval

Five-stage NLP pipeline with kNN clustering and bilingual entity resolution across 9 practice areas

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ProofGrounded RAG and retrieval

Multimodal RAG in a live voice platform: documents in, spoken answers out

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The first step

Twenty minutes. You describe where AI is stuck.

You leave the call knowing whether I can help, roughly what it would take, and what it would cost to find out for sure. If I am not the right person, I will say so on the call.

The 20 minutes, in order

  1. You talk first. Where AI is stuck, what has been tried, what it costs today.
  2. I answer plainly. Whether I can help, and what I would look at first.
  3. You leave with a next step. An audit scope, a pointer elsewhere, or a clean no.

Before you book

  1. Your stack is not too messy to start. Messy is the normal starting condition.
  2. Training that does not survive the week is the normal outcome. These sessions build on your backlog and ship something real.
  3. You do not need budget approved to take the call. You need it approved to start step two.
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