AI MVP Development for Startups

What it covers

Help founders turn an AI product idea into a working MVP. Engagements start with idea validation and scoping, move to a rapid prototype on real data, and end in a production-ready MVP with an AI/ML core (LLM/RAG, computer vision, NLP, or predictive models), deployed and instrumented. After launch, iterate with the founding team on user feedback. Available as a technical co-founder-style partner, drawing on hands-on experience co-founding and building startups.

Business value

Get to a credible, demo-ready and deployable AI product fast, with technical decisions you can build a company on.

Features

• Idea validation and MVP scoping
• Rapid prototype on real data
• Production-ready MVP with an AI/ML core
• RAG over your own data (embeddings + vector database) when the product needs it
• Deployment, monitoring, and CI/CD
• Iteration with founders on user feedback
• Technical co-founder-style partnership

Process

• Validate & scope — Clarify the problem, users, and the smallest AI feature set that proves value.
• Rapid prototype — Build a working prototype on real data to test the approach with users and stakeholders.
• Production MVP — Ship the MVP with APIs, UI, data storage, evaluation, and deployment built in.
• Iterate with founders — Measure, learn, and improve the product with the founding team after launch.

Technologies

• Python
• FastAPI
• RAG
• LangChain
• LangGraph
• PyTorch
• PostgreSQL
• pgvector
• Docker
• GitHub Actions