Natural Language Processing & Document Intelligence
Retrieval that cites its source, across contracts, forms, and archives
- OCR
- Hybrid retrieval
- Re-ranking
- Named entity recognition
- Citations
Industry
Core integration, document intelligence, risk models, and controls that survive an audit.

Financial services carry the heaviest combination of regulation, legacy, and expectation of speed. We build the integration layer over the core, the document intelligence that reads what arrives in a form, the risk and fraud models that must be explainable rather than merely accurate, and the security and compliance evidence that a regulator will ask for.
Retrieval that cites its source, across contracts, forms, and archives
Making systems that were never designed to meet work together properly
Forecasts, anomalies, and optimisers that end in a decision
Controls mapped to the code path that implements them
Identity, key custody, and zero-trust paths through the whole stack
Replacing a load-bearing system without an outage
How we help
The systems this industry draws on, layer by layer.
Retrieval and extraction systems over document estates that were never designed to be queried.
What we buildAPI platforms and integration layers between systems that were never designed to talk.
What we buildSystems that turn history into a decision rather than a dashboard.
What we buildSecurity designed into the architecture rather than added at its edge.
What we buildTell us where the work is stuck, whether that is a model that never reached production, an application nobody can change, a data platform nobody trusts, or a plant the business cannot see. An engineer replies with a first read, not a sales deck.