The layer that carries it. What the backend additionally takes on in AI products — and our stack for it.
Category · Backend & Data
The layer that carries it.
The backend is everything that doesn’t run in the browser or on the device: business logic, data, authentication, integration, compute pipelines. It exposes APIs that frontends and apps consume.
In AI products the backend takes on additional duties: model inference, agent orchestration, vector search, evaluations, observability for model behaviour.
Our stack.
Python (FastAPI) and Node.js for APIs, PostgreSQL for structured data, pgvector or Pinecone for vectors, Redis for cache and queue, Kubernetes or serverless depending on load profile. We choose by load and team, not by fashion.
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