← All EngagementsFixed-Scope Project

AI Product Development

From proof-of-concept to production-grade deployment, our engineers design and build custom AI-powered products tailored to your domain and data.

What this engagement is

You have a problem that requires a custom AI solution — something no off-the-shelf product handles well enough. Our Product Development engagement takes you from whiteboard to working software, with a team that understands both the engineering and the business context. We don't build prototypes that collect dust. Every engagement ends with production-deployed software, a CI/CD pipeline, monitoring dashboards, and a handoff that your team can actually maintain. We've shipped AI products in recruiting, finance, healthcare, legal, and manufacturing — so we're not learning your industry on your budget.

How the engagement works

1
Phase 1·Week 1–3

Specification & Architecture

We co-design the product with your team, finalising requirements, data contracts, integration points, and technical architecture. You approve the spec before any code is written.

2
Phase 2·Week 4–12

Agile Build

We build in 2-week sprints with working demos at each milestone. You have direct access to the engineering team via Slack, daily async updates, and sprint review calls every two weeks.

3
Phase 3·Week 12–14

Deployment

We handle production deployment on your cloud environment, configure CI/CD pipelines, set up monitoring and alerting, and write operational runbooks for your team.

4
Phase 4·Week 14–16

Stabilisation & Handoff

Two weeks of dedicated support after launch — daily standups, rapid bug fixes, and knowledge transfer sessions. You inherit a codebase your team can own and extend.

What you receive

  • Product specification and architecture design document
  • LLM / ML model selection, fine-tuning, and evaluation report
  • Full-stack application (Next.js frontend + Python AI backend)
  • Data pipeline and integration layer
  • CI/CD pipeline with automated testing
  • Cloud deployment on AWS, GCP, or Azure
  • Post-launch monitoring, alerting, and runbooks
  • 2-week stabilisation period with dedicated engineering support

Outcomes you can expect

  • Production-ready software running on your infrastructure
  • Full codebase ownership with documentation and test coverage
  • Trained model artefacts and reproducible data pipelines
  • Team upskilled to maintain and extend the system
  • Clear path to next phase of development

This engagement is right for you if…

Companies with a clear AI use case but no internal AI engineering capability
Startups that need a production-grade AI feature without hiring a full team
Enterprises evaluating a new AI domain before committing to full headcount
Teams that tried to build in-house but hit a technical ceiling

Let's talk about your situation.

Every engagement starts with a 30-minute scoping call — no commitment, no pitch deck. Just an honest conversation about where you are and where you want to go.

Start a Conversation