Tech stack
What we build on, and why
We pick boring, well-supported technology for the parts that must not fail, and move fast where the risk is low. Everything below is stack we run in production for clients today — not a capabilities list.
Frontend
React and Next.js for product surfaces and marketing sites, TypeScript throughout, React Native and Flutter where a single codebase serves both mobile platforms.
Backend
Node.js and Python for most services, Java and .NET where the enterprise estate calls for it, Go where throughput matters. REST and GraphQL APIs, documented and versioned.
Data & AI
PostgreSQL, MongoDB, MySQL and Redis for operational data. Snowflake and Databricks for the warehouse and lakehouse layer, with Spark and Python pipelines feeding them. For AI: custom models, generative AI and agentic systems built to a specific job, plus Power BI and modern BI tooling on top.
Cloud & DevOps
AWS, Azure and Google Cloud, containerised with Docker and orchestrated with Kubernetes. Terraform for infrastructure as code, CI/CD pipelines from the first sprint, and observability wired in before launch rather than after the first incident.
Quality & delivery
Automated testing at unit, integration and end-to-end level, AI-assisted engineering to speed the routine work, and code review by senior engineers on every change.
Explore the services built on it
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