Medzpilot

Tentang

Medzpilot, an Australian company, successfully validated their product market fit and gained tractions for investors. Now they wish to integrate AI to their product, but however, they use a pure vibe-coded app created in base44. This works very well for prototyping and early market validation, however works poorly when it is about to scale the software. Pixelane rewrite the software to be independent of vibe-coding platform and optimized the platform for scalability, and provide integration with the AI providers. Medzpilot software now scales and can accommodate larger market.

Ruang lingkup

Software DevelopmentSaaS

Tahun

2024

The Problem

After successfully validating its product in the Australian market, Medzpilot reached a critical growth stage. The initial platform, built entirely with a vibe coding solution, enabled rapid development and helped the company secure early traction and investor confidence. However, as the product matured, the existing architecture became increasingly difficult to scale, customize, and integrate with advanced AI capabilities. The platform's dependency on a no-code environment limited development flexibility, introduced scalability concerns, and made it challenging to support the next phase of product growth. To continue expanding the business, Medzpilot needed a production-ready software foundation that could evolve alongside its vision.

The Solution

Pixelane partnered with Medzpilot to completely rebuild the platform using a modern, scalable technology stack. Rather than simply migrating features, we re-engineered the application architecture to eliminate platform dependency while maintaining the user experience customers had already embraced. Our team designed a modular backend, optimized the database structure, improved overall application performance, and established a scalable infrastructure ready for long-term growth. We also integrated AI capabilities through leading AI providers, allowing the platform to introduce intelligent features while remaining flexible enough to adopt future AI advancements as the market evolves.

Technology/Tool

React.jsNext.jsPostgresNGINXData Warehouse

From Prototype to Production

The platform evolved from a rapid prototype into a robust SaaS product, providing the reliability, flexibility, and scalability needed to support a growing customer base.

Free

Support provided

9

Modules created

10+

Initiatives

96%

Performance Score

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