Two data scientists who once mapped the minds of machines are now charting the pulse of business. Anthony Goldbloom and Ben Hamner, the duo who turned Kaggle into the world’s largest ML community before Google picked it up, are back in the ring with their new play: Sumble.
Sumble just stepped out of stealth with $38.5M in funding, $8.5M Seed led by Coatue and a $30M Series A led by Canaan Partners, joined by AIX Ventures, Square Peg Capital, Zetta Venture Partners, Bloomberg Beta, and a couple angels who don’t exactly need intros, Marc Benioff and Nat Friedman. Rich Boyle from Canaan, who once had a front-row seat to Kaggle’s rise, is now back in the mix. Feels less like coincidence and more like destiny coded in Python.
Headquartered in SF, Sumble isn’t just another sales data platform. It’s a knowledge graph for GTM teams that pulls from millions of public data points, social, job boards, filings, and turns them into signals that actually mean something. It’s like giving SDRs and AEs night vision in a foggy room full of leads. When a company’s hiring spikes in data roles or launches a GenAI initiative, Sumble catches it before your competition even wakes up.
The results don’t whisper; they roar. Since launching publicly in Apr ’24, Sumble’s grown to tens of thousands of users, 17 enterprise customers (Snowflake, Figma, Wiz, Elastic, Vercel, Atlan, Snyk, Wandb, Omni, Dataiku), and a 550% YoY revenue jump. About 30% of users are paying for the Pro tier. Growth is viral, 1 to 500 MAUs in 6 months, spreading like Slack channels on caffeine.
Anthony Goldbloom says the moat is the knowledge graph itself: “The more data we add, the richer the corpus becomes.” That’s the kind of line that doesn’t just sound smart, it is smart. The system’s designed to be queryable by LLMs, meaning it could plug into the same AI layer shaping the next era of GTM intelligence.
Behind the tech are 15 sharp minds, engineers from Google, Meta, Stack Overflow, and Kaggle. Avishek Roy, the founding AE, saw firsthand how automation fails without real signals. Akash Gajjar, one of the early engineers, brings the same level of precision you’d expect from someone building the pipes of a new data era.
Sumble’s story is more than a funding headline. It’s a reminder that data without context is noise, and context without action is just trivia. What Goldbloom and Hamner are building is intelligence with teeth. It’s where the future of GTM lives: not in guessing who’s ready to buy, but knowing, before anyone else does.
