Sales teams don't need more data - they need context
Ask any rep how much intel they want on a prospect and you'll get a wishlist. Lists aren't the problem. Context is.
That's the bet behind Sumble, a San Francisco startup from Anthony Goldbloom and Ben Hamner (the founders of Kaggle). It crawls public signals across social media, job boards, company sites, and regulatory filings, then connects the dots with a knowledge graph built to work with large language models.
The output is a live view of a company's technographics and activity: who uses what tools, which projects are underway, how teams are structured, what they're likely to adopt next, and-crucially-who to contact.
What this means for your day-to-day
- See the org map and actual influencers instead of guessing titles.
- Get the tech stack by department to tailor your pitch and proof.
- Track hiring, launches, and filings as intent signals to time outreach.
- Use alerts to jump on changes at target accounts the moment they happen.
Traction worth noting
Launched in April 2024, Sumble reports 19 enterprise customers-names like Snowflake, Figma, Wiz, Vercel, and Elastic-and tens of thousands of users.
About 30% of users pay for Pro (individually or via their company). Revenue details weren't shared, but the team says year-over-year growth hit 550%.
Adoption tends to spread inside a company: from one user to a Slack channel, to a team, to an office, to hundreds of MAUs over six months.
Funding and who's backing them
Sumble emerged from stealth with $38.5 million raised: an $8.5 million seed led by Coatue and a $30 million Series A led by Canaan Partners. AIX Ventures, Square Peg, Bloomberg Beta, Zetta, and angels including Salesforce CEO Marc Benioff and former GitHub CEO Nat Friedman also participated.
The founders have deep ties to several backers-Canaan's Rich Boyle was a board observer at Kaggle; Bloomberg Beta and Zetta backed Kaggle; and Goldbloom is a cofounder and investment partner at AIX Ventures (he recused himself on this deal).
Competition is crowded, so what's the edge?
You've seen the list: Apollo.io, Slintel, SalesLoft, Cognism, Reply.io, ZoomInfo, HubSpot, Outreach, and more. Many offer point solutions or full toolkits. Sumble's claim is different: a context engine built on a knowledge graph covering ~2.6 million companies, structured so LLMs can query it cleanly.
In practice, that means your AI assistant can answer specific questions-like which teams use which tools at a named account-grounded by Sumble's data.
How to put Sumble to work this quarter
- Prioritize accounts by live triggers (new hires, product launches, budget signals) instead of generic firmographics.
- Map buying committees and influencers, then align outreach by team and toolchain.
- Reference the tech stack and active projects in your messaging to earn replies.
- Pipe alerts into Slack for same-day follow-up on prospect changes.
- Sync with your CRM to enrich records and cut manual research.
- Use the API to feed your data warehouse and route insights to revops dashboards.
- Pair it with your LLM assistant to ask precise, account-specific questions without manual digging.
- Add a verification step: have reps confirm one key datapoint before pressing send. Speed plus accuracy wins.
Access and plans
Sumble is available as a web app and via API. The paid plan adds workflow and CRM integrations, plus notifications when something changes at a target account.
Bottom line
More data doesn't move pipeline. Context does. If your team wastes cycles researching who to email and what to say, test Sumble in a pilot, wire alerts into Slack, and track one metric: meetings booked per 100 contacts. If that goes up, expand.
If you're skilling up reps on LLM-driven workflows and prompt strategy for prospecting, see our curated picks here: AI courses by job.
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