Whirl AI announced it has emerged from stealth with $8.9 million in seed funding to help enterprise IT teams modernize business processes and systems. The round was led by ICONIQ, with participation from notable angel investors.
Founded by Sunny Bedi, a longtime enterprise IT leader with experience at VMware, NVIDIA, and Snowflake, the company is focused on addressing a persistent challenge in large organizations: the lack of accessible, structured knowledge about how complex enterprise systems actually function. This includes undocumented customizations, integrations, and historical decisions that often reside only in institutional memory.
Whirl AI has built a platform designed to continuously capture and maintain this context across enterprise systems. By doing so, it enables purpose-built AI agents to assist IT teams in researching, designing, developing, implementing, and testing changes to applications and integrations. The company says this approach can reduce system update timelines from weeks or months to hours or days, while maintaining control and quality.
The platform is already being used by design partners operating in complex enterprise environments. Whirl AI positions its technology as a foundational layer for enterprise AI, aiming to move beyond pilot programs that fail to reach production due to insufficient system understanding.
The company is headquartered in San Francisco and is actively hiring while expanding partnerships with enterprises to deploy its platform in production settings.
KEY QUOTES
“Every CIO I know wants to leverage AI to be more responsive and transformational to the business. But before Enterprise AI can do anything truly meaningful in helping change core business processes and underlying systems, it needs the context of your enterprise’s applications, configurations, and integrations. That’s why enterprise AI keeps stalling. We built Whirl AI to fix that , so the world can stop waiting on Enterprise IT and start leading with it.”
Sunny Bedi, Founder and CEO of Whirl AI
“I have worked alongside Sunny for years when he was at Snowflake, watching him navigate an exceptionally complex enterprise environment at massive scale. The problem Whirl solves is not theoretical to him. He lived it firsthand, at scale, for two decades. Enterprise AI is full of pilots that never make it to production, and the reason is often the same: the AI lacks sufficient understanding of the environment it is operating in. Whirl is purpose built to fix that , and I believe there is no one better positioned to fix it than Sunny.”
Matt Jacobson, Partner at ICONIQ
