The challenge.
Ailyze's analyzer was strong where it mattered, the qualitative analysis itself. The problem was everything around it. A Streamlit deployment is wonderful for a prototype and a poor fit for a growing product: sessions are fragile, user management is thin, and the architecture does not stretch to the demands paying customers bring.
As the business grew, user expectations grew with it. Ailyze needed robust accounts and access control, room for more advanced functionality, and an architecture that could handle more concurrent users without the prototype falling over.
Our approach.
We ran the migration as a sequenced, four-phase engagement so the product kept working at every step rather than disappearing into a rewrite.
- Convert to Django. Re-platform the application onto a secure Django foundation with a proper application architecture.
- Functionality and integrations. Re-establish the analyzer's capabilities and bring third-party integrations under clean, controlled boundaries.
- SaaS features and UI. Add the user management, accounts, and a dynamic interface that a real SaaS product needs.
- Ongoing development. Stay on for continued management and customization as usage and the feature set grow.
Architecture.
The shape of the rebuild was straightforward: take the logic that lived inside a single Streamlit process and split it into the layers a multi-tenant SaaS needs, an application layer with real auth, a services layer for analysis and integrations, and a managed data store.
Technology stack.
We kept the stack deliberately conventional, so the platform is easy to operate, easy to hire for, and familiar to anyone reviewing it.
Application & data: Django, Python, PostgreSQL, REST APIs.
Analysis & ops: LLM integrations, object storage, AWS.
Outcomes.
- Re-platformed without losing the product. The analyzer moved from a Streamlit prototype to a production Django SaaS.
- Faster, steadier performance. Load times improved and the platform handles more concurrent users.
- Real SaaS foundations. Proper user management, controlled integrations, and a dynamic interface.
- Room to grow. An architecture and an ongoing engagement that support the product as it scales.
Engagement metrics available on request.