Services

AI architecture, data, automation & modeling.

Four capabilities, at whatever depth you need: a few days of review, a working pilot, or a production build from start to finish.

AI Strategy & Readiness Audit

A structured, vendor-neutral read on what's worth building, what the data will support, and what to skip.

LLMs and agents running inside your VPC or on-prem, so regulated financial data never crosses a third-party API boundary.

Senior engineers embedded in your team, building and operating production AI systems from inside your stack.

Agentic workflows for back-office finance: sign-off where mistakes are expensive, straight-through processing where they aren't.

Pipelines, warehouses and entity resolution that make your financial data point-in-time correct and actually queryable.

Retrieval-augmented generation over your internal documents, filings and compliance corpora, with sources attached to every answer.

Domain-tuned models on your proprietary financial data and terminology, evaluated against a baseline before they ship.

Engagement models

Each one is scoped to a clear outcome and set up to roll into the next stage when it makes sense, not before.

Embedded inside your sprints and your systems, shipping into your stack rather than handing off a deck.

A scoped build, billed by time as scope evolves or by a fixed price once requirements are locked.

A standing line to a senior engineer for the model-risk and vendor calls that come up between projects.

We stand it up and run it first, then hand over a fully operational function to your own team.