There are cases where Make, n8n, Airtable or Notion fall short: because the client's legacy system does not expose a modern API, because data processing requires volume that breaks iPaaS plans, because the AI agent the operation needs has specific logic that does not fit in a single node, or simply because it is no longer about orchestrating existing tools but about building the system from scratch. For those cases we build custom with code.
We work on a modern stack: Python and TypeScript on the backend, Next.js and React on the frontend, Postgres and vector databases (Pinecone, Weaviate, Qdrant) on the data layer, Vercel and AWS on deployment. Projects range from internal APIs and microservices to full-stack dashboards, RAG systems on client's own data, custom AI agents with multi-step orchestration and integrations with legacy systems via SOAP, ODBC or proprietary protocols. Each deployment includes automated tests, CI/CD, observability and operational documentation so your team can maintain it when we are no longer around.