I will build an ai saas mvp for your startup with custom integrations


About this gig
Are you building an AI startup but want to avoid high monthly platform fees and vendor lock-in? I develop custom, AI native SaaS MVPs engineered for complete source code and IP ownership.
Instead of basic chatbot wrappers, I build production grade agentic systems that execute autonomous workflows, process complex data, and scale efficiently.
What I Build For You:
- Autonomous AI Workflows: Multi-step task execution using Claude, GPT-4o, or Gemini APIs.
- Modern Tech Stack: Built with Next.js, FastAPI, Supabase, and PostgreSQL.
- Usage & Billing Engine: Metered tracking for token-based or usage-based monetization.
- Custom Data Pipelines: Vector search (pgvector) and automated document parsing.
- Core Dashboards: Secure auth, user management, and real-time activity tracking.
Stop paying recurring fees for restricted tools. Build a proprietary AI platform you own 100%.
Contact me today to discuss your requirements before ordering!
Get to know Mpozzecco
AI SaaS and Automation Specialist Telephony, Healthcare, Education
- FromThailand
- Member sinceMay 2024
- Avg. response time1 hour
Languages
English, French, German
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FAQ
How does usage based pricing work within an AI native MVP?
Traditional seat based licensing is fading. Based on 2026 trends, I integrate billing engines that track tokens, API operations, or specific business results. This ensures your margins remain protected as your agents consume computing power, allowing you to scale costs proportionally
What is the difference between an AI native app and a traditional SaaS with AI?
A traditional SaaS uses AI as an add on or a chatbot feature. An AI native app is built with an "agent first" architecture. The AI operates autonomously in the background to execute complete workflows, rather than just responding to prompts, which is the gold standard for 2026 software.
How do you handle data security and "Shadow AI" concerns?
Research shows that tighter AI governance is a primary concern for SaaS buyers. I implement secure, centralized AI infrastructures with robust governance directly in the product. This includes secure data handling, audit ready logging, and private RAG systems to ensure information never leaks.

