Frontend
React
Fast, iterative product UI - dashboards, MVPs, and client-facing apps that need to move quickly through revisions.
Stack
Range is useful only when it has judgment behind it. Tora does not force every client into the same framework. The stack is matched to the product shape, the existing team, the integrations around it, and how quickly the first release needs to move.
Frontend
Fast, iterative product UI - dashboards, MVPs, and client-facing apps that need to move quickly through revisions.
Frontend
Large, structured enterprise and internal dashboards where a strict framework and long-term maintainability matter more than iteration speed.
Frontend
SEO-critical marketing sites and product front-ends that need server rendering, fast load times, and search visibility.
Backend
Enterprise systems integration when a client's existing stack, compliance needs, or internal tooling already lives in the Microsoft ecosystem.
Backend
ML and data-heavy services, APIs that wrap data pipelines or AI models, and products that benefit from Python's data ecosystem.
Backend
Lightweight APIs and microservices that need to ship fast, stay simple, and integrate cleanly with product teams.
Decision process
Tora starts with the product surface, data complexity, integration load, hosting requirements, and the people who will maintain the software after launch.
A fast MVP may need React with a lightweight API. A regulated internal platform may need Angular and .NET. A model-backed product may need FastAPI at the center. The point is not to collect frameworks. The point is to choose the few that make the product easier to ship and easier to own.
Let's build
Start with the first version worth shipping, then make the technical choices that let it keep growing.