How we engage.
Four ways of working together, from a two-week assessment to owning a platform end to end. Every one staffed by senior engineers.
AI assessment & consulting
A short, intense engagement that establishes what is actually worth building — and what is not. You leave with a costed technical plan whether or not you build it with us.
What it includes
- Process mapping and baseline measurement of the work you want to change
- Technical feasibility review against your real data, not a sample
- Build-versus-buy analysis with named vendors and honest trade-offs
- Cost model covering inference, infrastructure and maintenance
- Risk register: data handling, regulatory exposure, failure modes
What you receive
A written technical plan with costs, sequencing and a recommendation — including the recommendation not to proceed, where that is the honest answer.
Typical duration
2–4 weeks
Custom AI platform engineering
End-to-end design and build of a production system: models, pipelines, interfaces, infrastructure and the operational tooling your team needs to run it without us.
What it includes
- Architecture and written technical specification before any code
- Model selection, evaluation harness and regression suite
- Application, API and admin interfaces designed alongside the system
- Infrastructure as code, CI/CD, observability and alerting
- Runbooks, architecture decision records and handover training
What you receive
A running system in your infrastructure, every artefact in your repositories, and a team able to operate and extend it.
Typical duration
3–9 months
AI integration into existing systems
Adding intelligence to software that already exists and cannot be paused. The hard part is rarely the model — it is the seams, the permissions and the migration path.
What it includes
- Audit of the existing system, its data model and its constraints
- Integration design that does not require a rewrite
- Incremental rollout behind feature flags with measurable checkpoints
- Human-in-the-loop review paths where decisions carry consequence
- Backwards-compatible APIs and a documented rollback plan
What you receive
New capability inside your existing product, delivered incrementally, with every step reversible.
Typical duration
6–16 weeks
Cloud & private infrastructure
The layer everything else depends on. Designed for the cost, latency and sovereignty constraints you actually have — including deployments that never leave your own hardware.
What it includes
- Infrastructure as code across cloud, hybrid or fully on-premise targets
- Container orchestration, autoscaling and cost governance
- Private model hosting where data cannot leave your boundary
- Zero-downtime deployment pipelines with automated rollback
- Monitoring, structured logging, tracing and on-call runbooks
What you receive
Reproducible infrastructure defined in code, with the operational tooling to run it and the documentation to hand it over.
Typical duration
4–12 weeks
How an engagement actually runs.
Deliberately unglamorous. It is the reason our systems survive their first year.
- 01
Understand
We map the current process, talk to the people inside it, and establish the baseline metric. Nothing is designed until the problem is measured.
- 02
Specify
A written technical specification: architecture, data boundaries, success criteria, failure modes and the explicit list of what we are not building.
- 03
Engineer
Short iterations against the specification, with working software in your hands early. Documentation is written as we go, not retrofitted.
- 04
Deploy
Into your infrastructure, with monitoring, runbooks and rollback paths in place before traffic arrives.
- 05
Sustain
We measure against the baseline, tune what drifts, and hand over a system your team can genuinely own.
Tell us what you are trying to achieve.
Not a sales call. A technical conversation with the engineers who would build your system — and an honest answer about whether we are the right team for it.