A custom pipeline for a 40-year archive
OCR repair, entity resolution and a domain fine-tune turned an unsearchable corpus into a retrieval layer with a defensible accuracy benchmark.
Applied AI & NLP
Models tuned to your domain
Retrieval, extraction, classification and fine-tuning on proprietary corpora — measured against a benchmark you can defend.
01Applied AI & NLP
What it is
General models are a starting point, not an answer. The work is in the distance between a generic model and your domain: your vocabulary, your document formats, your edge cases, and the accuracy bar your business actually needs.
02Applied AI & NLP
How we build it
We build retrieval pipelines that are measured, not assumed — chunking, embedding and reranking choices are decided by benchmark results on your corpus rather than by convention. Where retrieval is not enough, we fine-tune, and we show you what the fine-tune bought.
03Applied AI & NLP
What it must clear
Every deployment ships with drift monitoring, because a model that was accurate at launch is not automatically accurate a quarter later.
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What you get
- Domain evaluation set and benchmark
- Retrieval pipeline (chunking, embedding, rerank)
- Fine-tuned model where it measurably wins
- Drift and quality monitoring
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Reference architecture — illustrative figures
What we build under this capability now, with the architecture and the evaluation it is held to. Figures are illustrative until a client approves the real ones.
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Other capabilities
Agents that act, with guardrails
Multi-step orchestration, tool use, permissioned actions and human checkpoints — built to run unattended and be audited afterwards.
On-chain, audited by design
Contracts, indexers and wallet-grade infrastructure with deterministic test suites.
Low-latency plumbing
Market-data ingestion, execution pipes and risk tooling. Engineering only — never advice.
The product around the model
Interfaces, billing, permissions and the platform that keeps intelligence shippable.
Interfaces people trust
Product design, design systems and prototyping — so the intelligence underneath is usable, and the product looks the part.
→Start here
Let's build
the impossible.
Tell us the system you can't get built. We come back with a short, paid discovery — a clear plan and a fixed first milestone — usually within two working days.
01
Discovery
A working session to map the problem and define what "good" is measured against.
02
The plan
Architecture, milestones and a fixed first deliverable — yours to keep, either way.
03
We build
Embedded with your team or as a dedicated pod, shipping with traces, evals and docs.