Services/Build
Full Stack AI Product Development
Complete AI products, from interface to inference, built by one team that owns both the product and the model layer.
- 12 to 20 weeks to a first release
- Fixed-scope build, then an ongoing team
- Product lead, frontend, backend, and AI engineers
- Founders and product teams building an AI product from scratch
What we do
For teams launching an AI product or adding intelligence to an existing one. We cover product design, frontend, backend, model integration, and deployment, so the product works as one system.
What the work includes
Product thinking before code
We scope the product around the job the user is hiring it for, then decide where the model adds value and where a plain feature does the job better.
Interfaces designed for AI behaviour
Streaming responses, uncertainty, citations, and correction flows are designed in from the start.
Backends that carry model workloads
Queues, caching, retries, and cost controls around inference, so the product stays fast and the bill stays predictable as usage grows.
One team, one codebase
The people who designed the interface also integrated the model. Fewer handoffs, and fewer surprises in production.
Case study
An agent platform, built from the ground up
A multi-tenant platform for running and monitoring AI agents across departments, first proven internally and now shipping as Firedesk by Magnitudeminds Inc.
Read the case studyHow an engagement runs
Scope, build, evaluate, operate.
The same four stages on every engagement, each with a defined output.
Scope
A short discovery with the people who own the problem. Output: a written scope, acceptance criteria, and a fixed estimate.
Build
A named lead and a team sized to the scope. Working software from the first weeks, demonstrated on a fixed cadence.
Evaluate
Every AI component is measured against real cases before rollout. The numbers decide when it goes live.
Operate
Deployment, monitoring, and a support window. Then a handover, or an ongoing team if you want one.
Typical stack
Tools we commonly use for this work. The final choice follows your requirements, region, and existing platform.
- React
- TypeScript
- Python
- FastAPI
- Supabase
- PostgreSQL
- Tailwind CSS
- OpenAI
- LangChain
- Docker
- Google Cloud
Product engineering
From scope to a product people use
We have built AI products for our own company and for clients. The same team is available for yours, from the first design review to the first paying user.