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Sumble Raises $38.5M to Bring AI Context to Sales Intelligence

▼ Summary

– Sumble is a sales intelligence startup that provides context by gathering data from various online sources to reveal internal company developments.
– The platform uses a knowledge graph powered by large language models to connect data points and offer insights into company tech stacks, projects, and contacts.
– Since launching in April 2024, Sumble has gained 19 enterprise customers and tens of thousands of users, with significant growth driven by word of mouth.
– The startup recently secured $38.5 million in funding from investors including Coatue, Canaan Partners, and notable angels like Marc Benioff and Nat Friedman.
– Sumble faces competition from established players but believes its structured knowledge graph and integration with LLMs provide a defensible advantage.

Sales professionals constantly seek deeper insights into potential clients, fueling a competitive market for sales intelligence tools. While numerous platforms help identify leads and automate outreach, the critical missing piece often lies in providing meaningful context behind the raw data. Emerging from San Francisco, the startup Sumble aims to fill this gap by scanning diverse online sources, from social media and job boards to regulatory documents, to uncover what truly drives a company’s internal operations.

Founded by Anthony Goldbloom and Ben Hamner, who previously created the data science community Kaggle, Sumble employs a knowledge graph powered by large language models. This technology weaves together scattered data points, offering a holistic picture of a company’s technology usage, ongoing projects, organizational structure, and key decision-makers. Goldbloom emphasizes that their system delivers actionable technographic intelligence, clarifying which tools different departments use and highlighting who to contact for sales opportunities.

Despite a crowded field of established players and AI-driven sales assistants, Sumble’s founders see a clear need for their approach. Since its April 2024 launch, the company has attracted 19 enterprise clients, including Snowflake, Figma, Wiz, Vercel, and Elastic, alongside tens of thousands of individual users. Roughly thirty percent of these users subscribe to a Pro plan, either personally or through their employer. Growth has been largely organic, spreading through word-of-mouth referrals within organizations. Although specific revenue numbers remain confidential, the startup reported an impressive 550% year-over-year revenue increase.

Goldbloom describes their expansion pattern as viral. “We typically start with one user and grow to 500 monthly active users within a single company over six months,” he explains. Adoption often begins in a Slack channel, extends across a team, then permeates an entire office before reaching company-wide usage.

This rapid traction, combined with high-quality clientele and strong retention rates, captured investor interest. Sumble recently announced a $38.5 million funding round, emerging from stealth with significant financial backing. Coatue led an $8.5 million seed investment, while Canaan Partners headed a $30 million Series A round. Additional support came from AIX Ventures, Square Peg, Bloomberg Beta, Zetta, and angel investors such as Salesforce CEO Marc Benioff and former GitHub CEO Nat Friedman.

Notably, several investors had prior connections to the founders. Rich Boyle, a general partner at Canaan, previously served as a board observer at Kaggle, and both Bloomberg Beta and Zetta were also Kaggle investors. Goldbloom, who co-founded AIX Ventures, recused himself from their investment decision to avoid conflicts of interest.

Sumble enters a competitive arena featuring rivals like Apollo.io, ZoomInfo, and Outreach, which offer either specialized solutions or comprehensive sales toolkits. Since the platform currently relies on publicly accessible information, competitors could theoretically replicate its data collection methods. However, Goldbloom believes Sumble’s defensibility stems from its sophisticated knowledge graph architecture, which already encompasses approximately 2.6 million global companies.

He states, “Every new data point enriches our knowledge base. We consider the depth and complexity of our graph a significant competitive advantage.” The company also anticipates that the growing integration of large language models will bolster its scalability. By structuring data for easy querying by LLMs, Sumble enables services like ChatGPT to provide accurate, context-rich answers about corporate technology stacks, grounded in Sumble’s verified information.

Goldbloom adds, “Artificial intelligence is poised to reshape the data vendor ecosystem. Offering a knowledge graph that supplies relevant context to large language models will become essential within the LLM landscape.”

Sumble is accessible through a web application and an API. Their paid subscription tier includes advanced capabilities such as CRM integrations, workflow automation, and real-time alerts for prospect developments that might signal sales opportunities.

(Source: TechCrunch)

Topics

sales intelligence 95% knowledge graph 90% large language models 88% startup funding 85% technographic data 85% data context 82% AI Integration 80% market competition 80% investor relations 80% product features 78%