Full Stack Development

The product around the model: web apps, APIs and internal tools that put AI in front of the people who use it.

Full Stack Development

The product around the model: web apps, APIs and internal tools that put AI in front of the people who use it.

Frontend

Interfaces designed around how AI actually behaves: responses that stream in, answers that can be wrong, and sources that need checking.

We build:

Streaming chat and assistant interfaces
Document review screens with source highlighting
Data-labeling and annotation tools
Dashboards and internal tools in React, Next.js and TypeScript

Backend & APIs

APIs that sit between your users, your data and the model, and enforce who can see what.

Stack:

Node.js and Python (FastAPI)
REST, WebSockets and server-sent events for streaming
Job queues for long-running AI tasks
Postgres, SSO and role-based access

python

1@app.post("/ask")
2async def ask(q: Question, user: User = Depends(current_user)):
3    # Retrieval respects the caller's permissions
4    docs = await retriever.search(q.text, allowed_for=user.groups)
5    return StreamingResponse(
6        llm.stream(q.text, context=docs),
7        media_type="text/event-stream",
8    )

UI/UX Design

Designed in Figma and tested with the people who will use the product, before any code is written.

Process:

Workflow mapping with real users
Wireframes, then clickable prototypes
A design system your team can extend

DevOps & Cloud

Shipping regularly and safely, with AI-assisted development (Claude Code, Cursor) under the same code review as everything else.

Setup:

CI/CD with automated tests and preview environments
Docker, Kubernetes and Terraform
AWS, Azure, GCP or Vercel
Monitoring, alerting and error tracking

Full Stack Development

Frontend

Backend & APIs

UI/UX Design

DevOps & Cloud

Related capabilities

Enterprise AI

Agentic AI

Claude Training