Service 03
AI Product Development
We take AI products from a rough concept to something real users can depend on, covering architecture, development, deployment, evaluation and ongoing improvement.
What's included
- Product and technical requirements: turning research, user needs and business goals into a clear specification
- System architecture: services, data flows, schemas, APIs and integration points
- Production-grade development of APIs, data pipelines, AI workflows and cloud infrastructure
- Evaluation and observability: metrics, logging, monitoring and evaluation from day one
- Deployment and integration with your existing systems
- Deployment, support and operations after launch, or a clean handover to your team
Who it's for
Teams with a validated idea, research prototype or early AI product that needs to become a real, reliable product, not another proof of concept that stalls before launch.
Track record
Architected and shipped a secure multi-agent AI coaching platform end to end, with two production services, working across product, UX, engineering and subject-matter experts from requirements to rollout.
See case studies →Ways to start
Fixed scope, clear outcome.
Prototype to Proof
4–6 weeksA working prototype on your data, plus an evaluation report showing how well it actually performs.
Strategy Sprint
2 weeksUse cases ranked by value and feasibility, a roadmap, and a recommended architecture.
How we work
Pilot with proof.
- 01
Sample
We start small, on a real slice of your data or one workflow.
- 02
Side-by-side results
You see our system next to what you use today, case by case.
- 03
Cost estimate
A clear running cost at your scale before you commit.
- 04
Build
Production engineering, integration and evaluation.
- 05
Run
Monitoring, updates and support after launch.
Other services
Have a workflow you wish ran itself?
Tell us about it. In a short call we'll say honestly whether AI is the right fix, and what a small pilot would look like.