We build data and AI systems that solve a defined problem, and we start by checking that AI is actually the right tool for it. Plenty of problems presented as AI problems are reporting problems, data quality problems, or process problems.
Where AI is the right answer, the work is mostly unglamorous: getting the data into a usable state, choosing an approach that can be evaluated, and building something that can be monitored once it is in production.
AI Strategy And Consultation
Working out where AI would genuinely help, what data you would need, and what it would take to get there. The output is a prioritised view of opportunities with honest effort estimates.
This often includes ruling things out, which saves more money than any individual project.
AI Deployment And Integration
Getting a model out of a notebook and into the systems people actually use, with the monitoring, versioning and fallbacks that production requires.
Integration is usually the hard part. A model that is 5% better but nobody can call is worth less than one that is wired into the workflow.
Machine Learning Model Development
Building and evaluating models for prediction, classification, ranking and forecasting, starting from a baseline simple enough to understand.
We define how a model will be judged before building it, so there is an agreed answer to whether it is good enough.
Custom AI/ML App Development
Applications with AI at the centre rather than bolted on: the interface, the data flow and the model designed together.
That includes designing for the cases where the model is wrong, which is where most AI features lose their users.
Natural Language Processing (NLP)
Working with text and speech: classification, extraction, search, summarisation and conversational interfaces.
Much of the value here is in turning documents and correspondence an organisation already holds into something it can query.
Agent As a Service (AaaS)
Building and running autonomous agents that carry out multi-step tasks against your systems, with the guardrails and audit trail that implies.
We are deliberate about what an agent is allowed to do on its own and what needs a person to approve it.
Talk to us about Data & AI
Tell us what you are trying to do and we will tell you honestly whether we are the right people for it.
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