Monte Carlo is an end-to-end data observability platform that monitors pipelines for missing or inaccurate data. Last valued at $1.6B, Monte Carlo has over 150 customers, including data teams at companies such as CNN, JetBlue, Hubspot, PepsiCo, and Toast.

In this episode, Sandhya Hegde chats with Barr Moses, co-founder and CEO of Monte Carlo.

Join us as we discuss:

00:00 Preview —Early feedback from a potential customer

1:37 Why Barr and Lior decided to focus on data observability

6:28 Profile of Monte Carlo’s early adopters

12:27 Common pain points among early adopters

16:05 How Monte Carlo narrowed in on their ICP

21: 33 Early product feedback and surprises

26:27 Monte Carlo’s current go-to-market strategy

31:22 How AI will impact the data ecosystem

35:57 Advice for founder building data platforms

Sandhya Hegde is a General Partner at Unusual Ventures, leading investments in modern SaaS companies with a focus on AI. Previously an early executive at Amplitude, Sandhya is a product-led growth (PLG) coach and mentor. She can be reached at sandhya@unusual.vc.

Barr Moses is the founder and CEO of Monte Carlo

Unusual Ventures is a seed-stage venture capital firm designed from the ground up to give a distinct advantage to founders building the next generation of software companies. Unusual has invested in category-defining companies like Webflow, Arctic Wolf Networks, Carta, Robinhood, and Harness. Learn more about us at https://www.unusual.vc/.

Monte Carlo CEO Barr Moses on data reliability