AI that solves
real problems.
Not AI for AI's sake. Intelligent features, workflow automation, and data infrastructure applied where they genuinely move the needle for your product and your users.
How we apply
AI and data
AI Basecamp
A structured programme that takes your organisation from identifying AI opportunities through to implementation and ongoing support.
AI Opportunity Assessment
Map your product and operations for places where AI can create genuine, measurable value.
Intelligent Feature Development
AI-powered features built into your product — from content generation to recommendations.
Workflow Automation
Use AI to automate manual, repetitive work — document processing, data extraction, classification.
Data Infrastructure & Pipelines
The pipelines, storage, and processing that make your data usable and valuable.
Analytics & Product Instrumentation
Event tracking, funnel analysis, and dashboards that help you make better product decisions.
AI Evaluation & Safety
Test AI features rigorously before they ship — and monitor them after.
Tools we use
We work across the Azure AI ecosystem and leading AI APIs — choosing the right tool for the reliability, cost, and capability requirements of each use case.
Frequently asked
- How do you decide where AI actually fits in a product?
- We start with the problem, not the technology. Where is there a task that's currently slow, manual, error-prone, or impossible at scale? Where does the product need to make a decision that would benefit from more signal than a human can process? AI fits where it genuinely improves an outcome — not where it sounds impressive.
- We have data but don't know what to do with it. Can you help?
- Yes. We often start with a data audit — understanding what you're collecting, how it's structured, and what questions it could answer. From there we can help you build the infrastructure to make that data usable and identify the highest-value things to do with it.
- Are you working with the latest AI models?
- We work primarily with Azure OpenAI and the OpenAI API, which gives us access to the frontier models. We also work with Azure AI Studio and other Azure Cognitive Services for specific use cases. We choose the right tool for the problem — not just the most powerful one available.
- How do you handle AI reliability and accuracy issues?
- We build AI features with appropriate guardrails, evaluation frameworks, and fallback mechanisms. We don't ship AI that we haven't tested against real representative inputs. We're honest about what the technology can and can't do reliably.