AI Strategy & Roadmapping
Turn a long list of AI ideas into a sequenced, funded plan with clear owners, success metrics, and a first production milestone inside 90 days.
- Opportunity mapping
- Build vs. buy analysis
- ROI modelling
- Delivery roadmap
Services
Everything between an AI idea and a system people depend on
Engage us for one discipline or the whole chain. Each service is delivered by senior engineers who have shipped AI into regulated, high-volume environments.
Agentic Workflow Engineering
Multi-step agents that actually complete work: tool calling, retrieval, human-in-the-loop checkpoints, and audit trails your risk team can sign off on.
- Tool + API orchestration
- Evaluation harnesses
- Guardrails
- Human review loops
Custom Model Development
Fine-tuning, distillation, and domain adaptation when off-the-shelf models miss your accuracy, latency, or cost targets.
- Dataset engineering
- Fine-tuning & distillation
- Benchmarking
- Cost/latency tuning
RAG & Knowledge Systems
Retrieval pipelines built on your real documents, tickets, and databases, with grounded answers and citations users can verify.
- Ingestion pipelines
- Hybrid retrieval
- Grounding & citations
- Freshness monitoring
AI Security & Governance
Prompt-injection defence, data boundaries, model access control, and the documentation you need for SOC 2, HIPAA, and EU AI Act reviews.
- Red teaming
- PII handling
- Access policy
- Compliance evidence
Forward-Deployed Engineering
Senior AI engineers embedded in your team, shipping in your repo, on your sprint cadence, with knowledge transfer built into the engagement.
- Embedded squads
- Production hand-off
- Team enablement
- On-call support
MLOps & AI Platform
The unglamorous layer that keeps AI alive in production: deployment, observability, evaluation in CI, and spend control.
- CI/CD for models
- Observability & tracing
- Eval gates
- Cost dashboards
Data Engineering for AI
Clean, governed, AI-ready data. Pipelines, lineage, and quality checks so your models are trained and grounded on something trustworthy.
- Pipeline design
- Lineage & catalog
- Quality checks
- Vector infrastructure
Engagement models
Ways to work with us
2-3 weeks
AI Discovery Sprint
Opportunity assessment, technical feasibility, and a costed roadmap with a recommended first build.
Best for: Teams deciding where to start
6-12 weeks
Production Pilot
One high-value workload taken from prototype to a monitored, evaluated production deployment.
Best for: Proving value with real users
Ongoing
Embedded AI Squad
A dedicated pod of AI engineers working inside your team, on your backlog, at a monthly rate.
Best for: Sustained delivery capacity
Programme
Platform & Enablement
AI platform, governance, and evaluation foundations plus training so your team can run it alone.
Best for: Scaling beyond the first use case
Tell us what you want to solve with AI
Bring a problem, a half-built prototype, or a blank page. We will tell you honestly what is achievable, what it costs, and how fast it can ship.