Rippling cofounder raises $15M to build a software-engineering autopilot
Rippling cofounder Prasanna Sankar has launched Vorflux with $15 million to build an AI system intended to manage longer software-engineering workflows rather than generate isolated code snippets.

Rippling cofounder Prasanna Sankar has launched Vorflux with $15 million in funding to build what he describes as an “autopilot” for software engineering.
What happened
Vorflux is entering the developer-tools market with the goal of helping AI systems complete longer engineering workflows, rather than limiting them to code suggestions or individual functions.
The accessible report confirmed the funding amount and broad product direction but did not provide a complete investor list or a reliably verified round-stage label. Those details should remain unspecified until the company or investors disclose them directly.
Why it matters
AI coding products are moving from assistance toward execution. The harder problem is no longer generating code that looks plausible; it is coordinating planning, implementation, testing, debugging and review across an entire task.
That requires reliable access controls, context from the existing codebase and systems that let engineers understand what an agent changed and why.
The bigger picture
Vorflux enters a crowded market that includes model providers, coding environments and agent startups. Sankar’s experience building Rippling may help with product design and enterprise distribution, but it does not remove the technical challenge of making autonomous engineering dependable. The company’s opportunity is to become an orchestration layer for software work, while its risk is that larger developer platforms may add similar capabilities directly into products customers already use.
