How Monte Carlo Prevents Data Downtime, Featuring Founder & CEO, Barr Moses

“This problem was so painful and so meaningful to people that I just couldn't believe a world where a solution to this didn't exist.” When Barr Moses identified the very costly problem of what she coined “data downtime”, she knew she needed to solve it. Barr is the Founder and CEO of Monte Carlo, a data observability platform that’s on a mission to eliminate data downtime, a problem that can cost companies millions of dollars each time there’s an outage and the numbers — and the systems that rely on them — go haywire. And with the growth of AI, data problems are even more important to prevent. 

On this episode, Barr explains how she used the scientific method to home in on the problem to solve and the company to found — she actually launched three companies simultaneously before seeing the most traction with Monte Carlo, and going all in. We also learn about Monte Carlo’s customer-led approach that helped them create an end-to-end solution that leaves no data stone unturned.

This is Crafted from Artium: a show about great products, and the people who make them.  At Artium, we help startups and enterprises build incredible products, recruit high-performing teams, and achieve the culture of craft they need to build great software long after we’re gone. Check us out at thisisartium.com