Applied AI & Automation

Research tells you what is happening. Automation does something about it.

We build the AI that does actual work inside a financial product: agents that carry out multi-step tasks, pipelines that read documents and news at volume, and workflows that run every day without a person watching them.

Two markets tracked by one system
Market data from many sources normalised into one output

What We Do

Design and build agent and automation features end to end. Integrate language models into an existing product without rewriting it. Process documents, filings and news at volume and turn the output into something structured enough to act on.

And build the evaluation and guardrails around all of it, because an automated system that is confidently wrong at scale is worse than no automation at all.

When Teams Bring Us In

Your team is doing by hand, every day, something a machine should be doing. An AI feature works in isolation but nobody trusts it enough to let it act unsupervised.

Costs climb faster than usage because nothing was designed for volume. Or you know automation is the answer and would rather not learn which parts break the expensive way.

Rank-ordered distribution across a scored universe
Market data from many sources normalised into one output

What You Walk Away With

Automation running in production against real volume, with a measurable definition of working and an alert when it stops. Written decisions on what the system is allowed to do unsupervised, and where a human stays in the loop.

And a team of yours that can extend it without us.

Doing something by hand that a machine should be doing? Let's talk.

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