Your industry is
the last 20%.
The first 80% — the model, the agents, the integration pattern — already runs next door. Document AI from insurance PDFs transfers to loan docs. Anomaly detection from wind turbines transfers to blast furnaces.
Pick your industry. We'll show you what's shipped and what transfers.
Finance · Your world
Finance doesn’t need AI theatre. It needs models that survive auditors.
Banks and funds operate under scrutiny no other sector matches: regulators, audit, core-banking integration, risk committees. We’ve shipped agentic platforms across 40K-employee banking groups, mixed-integer optimisation on $1B+ debt portfolios, and document AI on the legal contracts VCs actually sign.
Most finance engagements start with Discovery — regulators demand the upfront scrutiny before production.
Absolute proof
Selected finance deployments. Shipped, measured, in production.
Every system below is live in production against a measured business outcome. What travels to the next engagement is the pattern underneath.
The transfer map
Patterns shipped next door — transferring into finance.
Each row is a production system in another industry. The model, the agents and the integration pattern transfer. What's left is the last 20%: your data, your vocabulary, your compliance — that's what Discovery sizes.
Each transfer requires a 2–4 week re-grounding on your data, vocabulary and compliance before build.
Pain points we see
Five things every finance leader asks us about.
Each maps to a pattern we've already shipped — in finance or an industry close enough to transfer in weeks, not months.
The pattern library
Ten patterns. Running across eight industries.
Most of what we ship comes from this library. Sorted by direct relevance to finance.
Transcript analysis & insight extraction
Agentic NL analytics over call, chat and meeting transcripts. Analyst hours collapsed into seconds, with drill-down and structured output.
Unstructured document processing
Multimodal LLM pipelines that read, structure and flag documents at scale. Hours of human reading become seconds of structured output.
Predictive optimisation modelling
ML and mixed-integer optimisation on operational data. Tunes process parameters, pricing, portfolios and inventory to move P&L lines by points, not pennies.
A Discovery in finance
Four to twelve weeks. A roadmap you trust.
Most finance engagements start with Discovery — regulators demand the upfront scrutiny before production. Every Discovery in finance explores the areas opposite, scored on feasibility, ROI and compliance risk. You exit with a prioritised roadmap, clickable prototypes of the top use-cases and an ROI model you can take to the board.
Output: prioritised roadmap · clickable prototypes · ROI model · compliance feasibility map