Production AI, not pilot AI.
Practitioner-led consulting that begins with your data policies and your users’ friction. Strategy, platform engineering, applied solutions, agents, and managed services — under one team. AI that ships, and stays shipped.
The model is the easy part — everything else is the work.
Data policy first
We start where every regulated AI programme stalls — data ownership, residency, retention, and access control. The model choice comes after the policy is signed.
User friction over model benchmarks
Leaderboard scores don't ship value. We map the friction in your users' day — the dropped handoff, the second-pass review, the data lookup — and engineer the model into that gap.
Ship-to-prod default
Every engagement is scoped to a production target — SLA, observability, fallback path, on-call. Pilots that don't have a deployment plan are pilots that don't ship.
Evaluation discipline
Evaluation harnesses, regression suites, red-team libraries, and golden-set monitoring — built before the first deployment, not bolted on after the first incident.
Agents over chatbots
Tool-using agents, structured workflows, function-calling orchestration — built to act inside your systems, not to answer questions about them.
Six capabilities across the full AI stack — under one delivery team.
Strategy & roadmaps
AI opportunity mapping, build-vs-buy, model selection, sovereignty posture, capability sequencing — a roadmap you can take to your board and your auditor.
Platform engineering
Lakehouses, feature stores, vector indexes, MLOps pipelines, inference gateways — the platform underneath every model that has to stay online tomorrow.
Applied solutions
Forecasting, classification, ranking, anomaly detection, document understanding, OCR, contract intelligence — productionised inside your existing workflows.
Agents & multimodal
Tool-using agents, vision-language models, voice and document multimodal stacks — built to act inside your systems with structured checkpoints and human review.
Evaluation & governance
Evaluation harnesses, prompt regression suites, red-team libraries, bias and safety scoring, audit trails — engineered for procurement and compliance scrutiny.
Managed AI operations
24x7 inference SLAs, drift monitoring, retrain triggers, incident response, model registry — the operate layer your business hangs on once the model is live.
Engage how you ship — discovery, build, operate.
Discovery sprint
Practitioners on the ground — your data, your workflows, your friction. We leave with a shippable roadmap, a sovereignty posture, and a costed plan to production.
- ·Senior practitioners only
- ·Roadmap + costed plan
- ·Sovereignty posture defined
Pilot to production
Full pod — engineering, ML, MLOps, evals — shipping a target use case to production. Evaluation harness, observability, and runbook delivered alongside the model.
- ·Pod-based delivery
- ·Production SLA on day one
- ·Eval harness shipped with model
Managed operations
We operate the AI stack — drift monitoring, retrains, incident response, governance reviews — under your SLA, with named on-call engineers and audit-ready logs.
- ·Named on-call engineers
- ·Audit-ready logs
- ·Quarterly governance reviews
Where else we ship AI for clients.
Digital Products & Platforms
Production-grade product engineering and platform builds for digital businesses — design, delivery, and operations under one team.
AI for Startups
AI-native SaaS and agentic systems for founding teams selling into regulated buyers — co-built, enterprise-ready.
AI Talent
Production AI practitioners ready to embed into your team — engineers who have shipped AI into regulated estates.