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Curious what AI could do for your team?

Book a discovery call for an honest view.

AI that works in your business, not just in a demo.

AI projects fail for ordinary reasons: unclear goals, poor data, and models that never leave the laptop they were built on. We start with the business problem, check that your data can support a solution, and build only what will be used.

We have a particular respect for regulated settings, where an AI system has to be accurate, explainable and safe to rely on.

What we do
01
Use-case assessment
A practical review of where AI can help, where it cannot, and what it would take, before you spend on a build.
02
Machine learning models
Prediction, classification and forecasting models, built, tested and validated against real data.
03
AI assistants and agents
Assistants that answer questions from your own approved content and hand off to a person when they are unsure.
04
Deployment and monitoring
Getting models into production on AWS and Databricks, and watching them so they keep performing.

Problems we solve

Not knowing where AI fits in your business
Prototypes that never reach production
Concern about accuracy, privacy and risk in regulated work
Data that is not yet ready for machine learning

What you receive

A clear recommendation on what to build, and what to leave alone
Tested models or AI assistants running in your environment
Documentation of how the system works and where its limits are
Monitoring and a support plan after launch

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