London · Remote · UK/Europe
Software engineering consultancy for AI, data, cloud and product delivery.
We build and modernise systems that need to be fast, secure, observable and maintainable.
Our work spans backend, web/mobile, data engineering and applied AI — with a bias for shipping.
Services
Technical expertise focused on solving real business problems with measurable impact.
Product & platform engineering
End-to-end delivery of cloud-native systems: APIs, services, web/mobile, integrations and internal
tooling.
- Greenfield builds and re-architecture
- Performance and reliability improvements
- Security boundaries and multi-tenancy
Applied AI systems
Production-grade AI: grounded outputs, evaluation, feedback loops and operational control.
- RAG + semantic / hybrid search
- Copilots integrated into workflows
- Guardrails, evals, cost/latency tuning
Data & search engineering
Data ingestion, indexing, metadata and analytics telemetry — built for continuous change.
- Connectors, pipelines and indexing
- Vector + full-text retrieval patterns
- Observability for relevance and quality
Cloud, DevOps & operations
Cloud infrastructure and delivery workflows that ship safely, repeatedly and predictably.
- Kubernetes and managed services
- CI/CD, release engineering, rollback
- Monitoring, alerting, SLOs
Startup & scale-up support
Hands-on technical leadership when velocity and quality both matter.
- Initial stack design and engineering standards
- Pragmatic governance and architecture
- Hiring support and team patterns
Architecture reviews
Focused interventions to unblock decisions, reduce risk and align on a path forward.
- System audit and roadmap proposals
- Trade-off writeups and threat modelling
- Incremental migration planning
How we work
Principles that optimise for delivery speed without sacrificing maintainability.
Operating principles
- Bias for execution: prototype early, harden what proves value.
- Explicit trade-offs: decisions documented with options, risk, cost and ops impact.
- Production by default: observability, rollback and security are first-class.
- Trustworthy AI: grounded retrieval, evaluation and guardrails from day one.
- Clear communication: tight feedback loops with stakeholders and engineers.
Engagement models
Project delivery
Embedded engineering
Technical leadership
Advisory / reviews
Typical cadence
Week 1: discovery + architecture options
Weeks 2–N: build + ship increments
Ongoing: ops, measurement, iteration
What we build in practice
Real-world solutions we've built across different industries and use cases.
Knowledge & search platforms
Cross-system discovery layers that return source-linked answers and reduce time-to-resolution.
Domain copilots
Assistants that call tools, return structured outputs and fit real workflows with measurable accuracy.
Performance-critical web apps
Interactive systems where responsiveness matters: rendering, state, undo/redo and real-time UX.
Mobile + backend products
React Native + secure APIs, authentication, integrations and operational dashboards.
Data ingestion and indexing
Connectors, continuous updates, telemetry and instrumentation for relevance and quality.