Today Sumble, emerged from stealth with $38.5 million in Seed and Series A funding led by Coatue and Canaan Partners, along with AIX Ventures, Square Peg, Bloomberg Beta, Zetta, and angels Marc Benioff and Nat Friedman.
The pitch is direct: modern enterprise selling is broken because sales reps guess at what a tech their prospects are using, who owns the project, and when the buying window opens. Sumble ingests public web signals to answer those questions in real time, then puts the answers in front of reps before they hit send.
Moving from spray and pray to targeted outreach
Today’s sales reps use spray-and-pray outreach to hope they’re reaching the right people at the right time. This leads to long cycles, missed opportunities, and blocked emails.
lSumble’s bet is that context, not more contacts, changes that. Its platform crawls open sources across the web and builds a living profile of each target account: org chart, tech stack, and active technology projects like cloud migrations or GenAI rollouts. It then flags procurement stage, identifies buying teams and likely decision makers, and surfaces change events such as tool replacements, new leadership, or budget cycles. Reps see who to approach, what to say, and when to move.
Early customers include Snowflake, Figma, Wiz, Vercel, and Elastic. “Sumble goes deeper than other GTM data vendors,” says Elliott Straube, Go-To-Market Strategy Manager at Figma. “They help us zero in on the UX and visual designers who matter most to us and filter out the ones who don’t.”
Elastic’s VP of Sales Strategy and Enablement Jesse Sladek adds: “Sumble helps the field find the most relevant signals aligned to our sales motions, increasing our conversion rates.”
Co-founder and CEO Anthony Goldbloom, who previously built Kaggle, later acquired by Google, frames the product in simple terms: “Reps don’t need more contacts, they need more context. Sumble shows what a prospect is doing right now, who owns it, and when to act, giving companies a massive advantage over their competitors.”
Canaan general partner Rich Boyle ties the timing to today’s AI-heavy stack: “In a world of LLMs, context is everything. You can’t get meaningful AI-powered GTM outreach without a clean, accurate, and actionable data foundation. Sumble is building that foundation.”
Proven founding team with an exit to Google
One of Sumble’s biggest early advantages is a proven team who’ve scaled a data company. Goldbloom and co-founder Ben Hamner spent years turning messy public data into reliable signals for real machine-learning work, first at Kaggle and then inside Google.
That experience shows up in the product focus on freshness, precision, and actionability. The company isn’t trying to be a CRM or a sequence tool; it’s aiming to be the source of truth on what’s happening inside an account, down to the teams and tools that matter. In practical terms, that can mean alerting a rep when a target just posted Kubernetes migration roles, when a VP of Engineering with a known vendor preference joined, or when a legacy license is likely up for renewal. It’s the difference between “checking in” and showing up with the right pitch at the right moment.
The timing makes sense. Buyers are overwhelmed, inboxes are full, and generic pitches fall flat. Meanwhile, boards want efficient growth, not bigger headcount. If a seller can prioritize ten high-signal accounts over a hundred cold ones, with messaging tied to a live project, the math improves, better meetings, shorter cycles, cleaner pipeline. That’s the wedge Sumble is trying to widen.
With the new funding, Sumble plans to grow its engineering and data teams, expand integrations with common sales stacks, and push deeper coverage of technology projects that drive buying windows.
Sumble is live today at sumble.com. The company is based in San Francisco and backed by a roster of investors that signals both enterprise software and AI depth.
