I’m Sanjay Gidwani, Founder & CEO of Kosmos.
For most of my career, I operated inside large, complex systems. Scaling them. Optimizing them. Holding together the parts that didn’t quite fit.
I spent six years at Salesforce leading experience design and professional services organizations. I later served as COO at Copado, helping enterprise teams ship software without the chaos of release days. Before that, I built and ran technical delivery teams, led M&A integrations, and worked across dozens of enterprise deployments.
What I kept seeing wasn’t a lack of intelligence or effort. The people were capable. The intentions were good. The problems were structural.
The hardest failures weren’t happening inside systems. They were happening between them.
Signals existed. Data existed. But they were fragmented across tools that never quite spoke the same language. Teams did the right work too late, not because they didn’t care, but because the systems around them were designed to explain what happened, not help them act sooner.
And in the end, customers paid for that gap.
Eventually, optimizing inside the structure stops being enough.
Kosmos is the company I started to work on that problem directly.
Kosmos embeds intelligence into enterprise workflows so teams can act earlier and with better context.
We’re focused on building systems that surface structured understanding inside the flow of work—helping teams predict, explain, and intervene with clarity under real operational pressure.
Our first focus is helping teams understand why complex systems break across environments, and act earlier the next time.
This isn’t about dashboards or automation that fires without understanding consequences. It’s about translating knowing into timely, grounded action.
My operating philosophy is shaped by years of watching execution drift under pressure.
I believe the next generation of enterprise systems won’t be defined by how much information they surface, but by how well they help organizations act. Prediction has to be earned. Explanation has to be grounded. Trust compounds before scale.
This is long-term work. It requires patience, rigor, and respect for the complexity of real organizations.
That’s exactly the work I intend to do.
Outside of work, I’m a husband, father, home cook, and a lifelong Chicago Bears fan.