Python for backend services where the data, the AI integrations, or the regulatory shape of the workload favours Python's ecosystem. Django for batteries-included applications. FastAPI for modern async APIs. Both with the production hardening Python earned a reputation for skipping.
Python is back in the conversation because of AI — and because FastAPI made async Python actually pleasant. We pick Python when the integrations (ML, data, scientific libs) tip the decision, and we ship it with the same observability and CI rigour we'd apply to any Node service.
Python services that hold up in production — typed, observable, and deployable like any other backend stack.
Concrete deliverables — not adjectives. Each engagement scopes which of these are in play and what success looks like for them.
Drawn from sales calls, not SEO filler. Want a question added? Drop it in the form on this page — we update from real enquiries.
Django when you want admin, ORM, auth, and migrations bundled. FastAPI when you want a modern async API surface and you're comfortable assembling the rest. We use both.
FastAPI on async Python with Uvicorn workers is genuinely fast — comparable to Node for most workloads. The historic Python latency story doesn't apply to async stacks.
Yes — LangChain, LlamaIndex, and direct SDK integrations (OpenAI, Anthropic). See our AI & Data Engineering capability for the full story.
Always. We run mypy or pyright in CI. Untyped Python in 2026 is a future-pain choice we won't make.
We build production Next.
Nuxt 3 done right — Vue 3 Composition API, Nitro on the server, and the rendering model chosen per route rather than as a global setting.
React for product teams that need engineering discipline as much as developer experience.
Vue 3 with the Composition API for teams that want React's flexibility and Vue's ergonomics.
Angular for enterprise teams that need batteries-included structure — TypeScript, RxJS, dependency injection, and the modern Signals primitive.
SvelteKit for teams who care about bundle size and ergonomics in equal measure.
