Born at the confluence of rivers and ideas.
It's President's Day in Vail valley. The slopes are packed. Rob, the vail valley wastewater and sanitation operations manager, is on his day off — exactly where he should be. Meanwhile, at the wastewater facility, an air-actuated valve installed in the 1970s quietly fails.
On-call staff search for answers. The O&M manual is buried on a dusty shelf, long forgotten. Nobody has operated this valve manually in decades — that knowledge retired years ago. Meanwhile, influent wastewater keeps pouring in. Tanks begin to fill.
More staff are called in. Costs rise. Morale — already stretched thin — takes another hit. And none of it needed to happen. Intelligent early alerts would have caught this before it became a crisis.
Rob had to leave the mountain, drive back to the plant, and hit three buttons — because the institutional knowledge of how that system worked lived only in his head. That moment is the exact problem Upstream AI solves. We are not building for an abstract market. We are building the tool Rob needed.
What if an operating manager in a mountain town could see exactly which assets need attention, when, and why?
Rob met Katrina where they started to work on this and spent the next several months building prototypes, testing early models with local utilities and municipal teams who were generous enough to share their data and their frustrations. The feedback was unanimous: this wasn't just useful — it was overdue.
The name "Upstream" is a nod to where they live — above the headwaters, at the start of the river system — and to their philosophy. Fix problems upstream, before they cascade. Think ahead. Invest early. That's how rural communities don't just survive, but thrive.