Ship an AI product, not a prototype.
AI Product Development
End-to-end build of AI SaaS, copilots, customer portals and internal applications — with multi-tenancy, evaluation and cost metering designed in from the start rather than retrofitted after launch.
- Typical timeline
- 10–20 weeks
- Engagement model
- Milestone-based delivery
What you get
- Product and UX design for AI-native workflows
- Multi-tenant application with row-level isolation
- Model gateway with routing, fallback and per-request cost tracking
- Evaluation harness and regression suite
- Deployment pipeline and observability
What changes
- A product that survives its first hundred customers
- Per-tenant cost visibility from day one
- Model changes that can be tested before they ship
Architectures this usually produces
The assessment decides from your answers — these are the patterns it most often lands on for this service.
Retrieval-augmented generationTool-using agentHybrid
Questions people ask
- Do we own the code?
- Yes. Source is delivered to your repositories throughout, not at the end.
Considering ai product development?
Run the free assessment first. It scores feasibility against your own data and volumes, and tells you what it would cost before anyone quotes you.