Salespeople often desire extensive information about prospective customers, fueling a competitive sales intelligence market offering services that range from prospect identification and background research to pitch writing and autonomous follow-ups. However, sales teams seek more than raw data—they want meaningful context. Sumble, a San Francisco startup founded by Anthony Goldbloom and Ben Hamner, the creators of data science community Kaggle, aims to provide this context. It gathers data from diverse sources such as social media, job boards, company websites, and regulatory filings to reveal insights into company activities. Using a knowledge graph supported by large language models, Sumble connects these data points to deliver a detailed technographic profile—including departmental tools, ongoing projects, organizational charts, upcoming technology adoptions, and key contacts. Despite a crowded market with numerous AI-driven sales solutions, Goldbloom asserts Sumble fills a unique niche. Since its April 2024 launch, Sumble has secured 19 enterprise clients like Snowflake, Figma, Wiz, Vercel, and Elastic, amassing tens of thousands of users. Approximately 30% subscribe to a Pro plan, with growth largely driven by word of mouth.

While specific revenue figures remain undisclosed, reported growth is a striking 550% year-over-year. Goldbloom describes viral adoption patterns within companies, starting from a single user spreading through Slack channels and teams, eventually reaching hundreds of monthly active users per company in six months. Sumble recently emerged from stealth mode with $38. 5 million in funding: an $8. 5 million seed led by Coatue and a $30 million Series A led by Canaan Partners, alongside investments from AIX Ventures, Square Peg, Bloomberg Beta, Zetta, and notable angels such as Salesforce CEO Marc Benioff and former GitHub CEO Nat Friedman. Importantly, the founders have longstanding relationships with many investors, including those affiliated with Kaggle. Nonetheless, Sumble faces stiff competition from established players like Apollo. io, Slintel, SalesLoft, Cognism, Reply. io, ZoomInfo, HubSpot, and Outreach, offering either specialized tools or comprehensive sales platforms. Since Sumble relies on publicly available data for now, competitors could potentially replicate its approach. Goldbloom highlights Sumble’s defensibility stemming from its expansive knowledge graph covering approximately 2. 6 million companies globally. He explains that as more data enriches this graph, its value and complexity grow, creating a substantial competitive moat. Furthermore, Sumble is poised to leverage the increasing adoption of large language models, enabling users to query integrated AI tools such as ChatGPT with data grounded in Sumble’s knowledge graph—for example, querying Apple’s tech stack in a well-contextualized manner. Goldbloom believes AI will transform the data vendor landscape, with knowledge graphs playing a central role in integrating context into large language model ecosystems. Currently, Sumble is available as a web application and API, with paid plans offering enhanced features like workflow and CRM integrations and real-time notifications about relevant prospect developments.