Example engagements

The kind of work we take on

These aren't case studies of past projects dressed up as anonymous logos. They're illustrative engagements, the shape of the work we're equipped to deliver, how we'd approach it, and the tradeoffs we'd flag upfront. If your problem looks like one of these, the conversation will be a short one.

Machine Learning

Real-time fraud detection for transaction systems

Bringing anomaly-detection models into a high-volume payment flow without breaking latency budgets or analyst trust.

Latency target

Sub-50ms p99 on the auth path

See engagement

Data Platform

SKU-level demand forecasting at store granularity

Standing up a forecasting platform that gives category planners a defensible weekly view rather than a black-box number.

Forecast cadence

Weekly retraining with a planner review loop

See engagement

Generative AI

LLM-assisted intake summarisation for clinical teams

A clinician-in-the-loop assistant that drafts intake summaries from nurse-patient conversations, with strict scope boundaries.

Documentation flow

Structured drafts in seconds, always edited by a clinician

See engagement

NLP

Clause extraction and contract review acceleration

A clause-level extraction layer that turns multi-day first-pass reviews into a structured workflow lawyers can audit.

First-pass review

From days of clause hunting to hours of clause assessment per matter

See engagement

Have a problem that looks like one of these?

We're a small team and we're selective about what we take on. The best way to start is a short conversation about what you're trying to do and why now.

Start a conversation