From AI-Built MVPs to Scalable Products

What We Offer

Production-ready architecture redesign – turning AI-generated MVPs into stable, scalable systems.
Refactoring & code optimization – cleaning, improving, and stabilizing AI-generated codebases.
Feature expansion beyond builder limits – custom backend, APIs, databases, integrations.
Performance & scalability upgrades – microservices, caching, load optimization.
Migration from AI builders to modern tech stacks – React, Next.js, Node.js, Nest.js, Python etc.

An MVP was built using AI builders such as Lovable, Bolt, or Wix AI and the product now faces architectural, performance, or customization limitations.
The AI-generated MVP works for demos but not for real users due to scalability issues, unstable code, or lack of backend control.
Founders need to move from validation to production and require a production-ready architecture with modern tech stacks.
The product requires features beyond builder capabilities including custom backend logic, APIs, databases, or third-party integrations.
Performance, reliability, or security has become a concern and the MVP needs refactoring, optimization, and cloud-ready deployment.
The team plans to migrate from AI builders to a real engineering stack such as React, Next.js, Node.js, Nest.js, Python, and cloud infrastructure.

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