AI Product and Platform Development
An AI feature stuck on top of an old product feels stuck on. We design the product around the model: what the user sees while it thinks, what happens when it is wrong, what each answer costs and how the whole thing earns its keep.
In short. AI Product and Platform Development is one of Matrida Infotech's AI services. AI-native web, mobile and API products designed around what the model can and cannot do, shipped and maintained by one team. Typical stack: Next.js · React Native · FastAPI · PostgreSQL · vector databases · Stripe · cloud hosting.
Sound familiar?
- The AI feature demos well and feels clumsy in the product
- Nobody planned for slow answers, wrong answers or cost per use
- You need an AI product built end to end, not only a model
- The prototype cannot take real traffic
Capabilities
- AI-native web and mobile apps
- API and platform design
- Prototype to production
- Usage and cost analytics
- Billing and quotas for AI features
- Ongoing maintenance
What we build
- Product design for uncertainty: streaming answers, easy corrections, visible sources, graceful failure
- Web, mobile and API layers built to production standard
- Usage metering, quotas and billing for AI features
- Analytics on what users ask, where it fails and what each feature costs
- A maintenance plan, so models and prompts are updated safely
What you get
- Working product in production
- Architecture and API documentation
- Usage, cost and quality dashboards
- Maintenance and release plan
Tools and frameworks
- Next.js
- React Native
- FastAPI
- PostgreSQL
- Stripe
- Vercel
Where it fits: Retail & E-commerce.
Questions
Do you build the whole product or only the AI part?
Either. We can build the whole product, or build the AI layer and hand it to your team behind a clean interface.
How do you handle the cost of AI per user?
We meter usage per user and feature from day one, set budgets and alerts, and design pricing and quotas around the real cost.
How long does a first version take?
A focused product usually reaches a first release in 8 to 14 weeks, depending on integrations and review needs. The strategy sprint gives a firmer plan.
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Learn more →Planning AI Products? Tell us the workflow.
Say what is going wrong today. We reply with how ai product and platform development would handle it, a rough scope and the first thing to build.
- You would get: working product in production
- You would get: architecture and API documentation
- You would get: usage, cost and quality dashboards