Services
Technical depth.
A useful outcome.
Explore an idea, evaluate a system or build something your team can use. We shape the work around the decision you need to make.
Explore our expertise.
Choose a service to see how we can help.
Applied AI research
Turn an open question into a testable idea. We investigate methods, build prototypes and evaluate what works for your problem.
Efficient AI systems
Make capability count. We explore model optimisation, inference efficiency and architectures that fit real constraints.
AI engineering & deployment
Bridge the gap between a promising model and a useful system, with thoughtful integration, testing and operational design.
AI strategy & advisory
Find a clear path through the options. Assess feasibility, review architectures and suppliers, and plan practical next steps.
Agentic AI systems
Design tool-using agents for the systems you already use, with scoped permissions, human approval points and evaluation built into the work.
Data science & machine learning
Turn the data you have into useful evidence. From exploratory analysis to forecasting and anomaly detection, build models your team can understand and maintain.
Model fine-tuning & adaptation
Adapt suitable models to your domain through fine-tuning and distillation. Evaluate accuracy, cost and hosting constraints before choosing an approach.
Responsible AI & governance
Develop practical AI policies, risk assessments and approval processes, with relevant governance frameworks selected for your organisation.
Independent AI validation
Assess AI you have built or bought. Test performance, fairness and robustness, examine failure cases, and document findings and limitations plainly.
Choose a
starting point.
Agree the scope and evidence before work begins.
AI discovery sprint
For teams starting out or deciding which ideas deserve investment.
- Use cases assessed for value and feasibility
- Data readiness review
- Practical roadmap and next-step recommendation
Proof of concept
For testing one idea before committing to a larger build.
- Prototype using representative data
- Comparison with the current baseline
- Evaluation report and a go/no-go recommendation
MVP build
For a promising idea that is ready to be tested with real users.
- First usable version and agreed integrations
- Monitoring and operational design
- Handover documentation for your team
Independent validation
For reviewing a system you have built or are considering buying.
- Agreed evaluation plan
- Performance, fairness and robustness testing
- Findings, limitations and assurance evidence
Governance review
For leadership teams seeking a clearer view of AI use and risk.
- AI inventory and risk assessment
- Policy and proportionate approval workflow
- Responsibilities and transparency records
Ongoing advisory
For in-house teams who want technical input as their work develops.
- Architecture and supplier reviews
- Research input on technical questions
- Regular discussions and decision support
These are starting points for a scoped engagement. Deliverables, timing and fees are agreed for your project. Each stage should give you evidence to decide whether to continue.
Agents with
clear boundaries.
Agentic systems need more than a capable model. We design around the tools an agent can access, the actions it can take, the approvals it needs and the evidence recorded along the way.
Explore possible applicationsLet’s find a useful
starting point.
Bring us a challenge, an idea or a question.
We’ll help you find a useful way forward.