Software that carriesreal load.
AI is only as useful as the software around it. Our software engineers build the platforms, products and integrations that put intelligence into the hands of real users. Code-reviewed, tested and documented.
A production system, assembled.
Scroll to see how the layers of a system we deliver fit together, and which team owns each one. (The answer is the same team.)
Cloud infrastructure
Infrastructure as code on AWS, Azure or Google Cloud: reproducible, secured, in your account.
Databases
PostgreSQL, MongoDB and vector stores, modelled for the queries you will actually run.
AI models
LLMs, ML models and retrieval pipelines, versioned and evaluated against agreed thresholds.
Backend services
Domain services in Python, TypeScript, Java or Go: tested, observable, documented.
APIs
Versioned contracts for your apps, partners and agents, with authentication built in.
Frontend
Web interfaces and mobile apps people enjoy using, in the framework that fits.
Monitoring
Dashboards, alerting, model-drift and cost monitoring across the whole stack.
Software engineering services.
Built in the languages, frameworks and cloud your project needs, not the ones we happen to prefer.
Enterprise Software Development
Business platforms engineered for scale, security and long service life.
Full-Stack Development
One team across interface, services and data, with no seams between layers.
SaaS Product Development
Multi-tenant products with billing, observability and product analytics built in.
Web Applications
Fast, accessible web applications, in the framework that suits your team.
Mobile Application Development
iOS and Android apps, native or cross-platform, connected to your platforms.
API Engineering
Well-documented, versioned APIs that partners actually enjoy integrating with.
System Integration
Connecting the systems your business already runs on, whatever they are built with.
Legacy System Modernization
Incremental modernization of the stack you have, keeping the business running throughout.
Cloud-Native Development
Containerised, observable services on the cloud you choose, or your own servers.
Software Architecture
Architecture decisions documented, reviewed and built to evolve.
What ships with the code.
Contracts, pipelines, decisions and service levels, written down and handed over. Illustrative samples.
Claims API · v2.3
No breaking changesOpenAPI 3.1 contract · reviewed before build
- GET/v2/claims/{id}Read a claim
- POST/v2/claimsSubmit a claim
- POST/v2/claims/{id}/documentsAttach evidence
- GET/v2/claims/{id}/decisionAI triage result + reasons
Pipeline #2318
Passedmain · merge of PR 412 · 9 m 13 s
- passedLint & type-check38 s
- passedUnit tests · 1,284 passed2 m 10 s
- passedIntegration tests · 96 passed3 m 05 s
- passedSecurity scan · 0 high1 m 22 s
- passedDeploy to staging1 m 48 s
ADR-007
AcceptedArchitecture decision record
Vector store for retrieval
- Context
- 2.4M documents, strict tenant isolation, data must stay in-region.
- Decision
- PostgreSQL with pgvector in the client’s own cloud account.
- Consequence
- One database to operate; re-index window planned monthly.
Service levels · March
Within budgetPayments platform · production
| Objective | Target | Actual |
|---|---|---|
| Availability | 99.95% | 99.98%passed |
| p95 response | ≤ 300 ms | 212 mspassed |
| Error rate | ≤ 0.1% | 0.04%passed |
Technology ecosystem.
Your stack, not ours. We pick the tools that fit your systems, your team and your budget, or work inside the ones you already have.
- Languages
- Python
- TypeScript
- Java
- Go
- C#
- and more
- AI & ML
- LLMs
- RAG
- AI Agents
- PyTorch
- LangChain
- and more
- Frontend & Mobile
- React
- Next.js
- Angular
- React Native
- Flutter
- and more
- Cloud
- AWS
- Azure
- Google Cloud
- On-premise
- and more
- Data
- PostgreSQL
- MongoDB
- SQL Server
- Vector databases
- and more
- DevOps & MLOps
- Docker
- Kubernetes
- GitHub Actions
- MLflow
- and more
Using something not listed here? Tell us about it →
Tell us about the problem. A senior technical lead replies, not a sales funnel.
