What you get
A dedicated team designs, builds, tests, and deploys an AI-powered feature or product. You get production-grade code, not a prototype. We handle architecture, development, testing, and deployment — you handle feedback and approvals.
- Production-ready AI feature or product
- Technical architecture documentation
- Automated test suite (unit, integration, eval)
- Deployment pipeline (CI/CD)
- Monitoring and alerting setup
- Runbook for operations and incident response
- Handover documentation and knowledge transfer
How it works
Architecture & Foundation
We finalise the technical approach, set up infrastructure, establish the CI/CD pipeline, and build the core data layer. You see working code by end of week 2.
Build & Iterate
The team builds features in weekly sprints. You get a demo every Friday. We run automated evals and quality checks on every deployment. Feedback loops are tight — changes ship within days, not weeks.
Harden & Ship
We focus on production readiness: performance testing, security review, monitoring setup, documentation, and deployment. We run the production readiness checklist. You launch with confidence.
Who is this for
- Companies with a validated AI use case ready to build
- Teams that completed a Discovery Sprint and want to execute
- Startups building AI-native products for the first time
- Enterprises that need a fast AI proof-of-value in production
Common questions
What size team do we get?
Typically 2-3 people: a senior AI engineer, a full-stack developer, and a product engineer. For larger scopes, we add specialists (ML engineer, designer, DevOps). We never staff juniors on AI projects.
What if the scope changes during the sprint?
Scope changes are normal. We run weekly prioritisation sessions where we can swap features in and out. The timeline stays fixed — what changes is which features make the cut. This is how you ship on time.
Do we own the code?
Yes. 100% code ownership transfers to you. We use your repositories, your cloud accounts, and your infrastructure. Nothing is hosted on our systems.
What tech stack do you use?
We are stack-agnostic but default to Python (FastAPI/Django) for AI backends, TypeScript (React/Next.js) for frontends, and deploy on AWS or GCP. We use the right tool for the job, not what is trendy.
Ready to build?
Book a free 30-minute call. We will scope your Build Sprint and give you a fixed timeline and cost.