This article outlines the company's perspective on the limitations of current go-to-market (GTM) stacks and how their platform provides a necessary connected account intelligence layer for AI agents and human sales teams.
Sumble, a sales intelligence startup founded by the creators of Kaggle, announced it is actively hiring for multiple engineering and growth roles. The post highlights the company's focus on building a knowledge graph from web data to provide account intelligence for go-to-market teams.
Sumble, founded by the creators of Kaggle, announced new hiring initiatives for engineering and growth roles as they scale their AI-driven knowledge graph platform.
Sumble, an AI sales intelligence startup founded by the creators of Kaggle, announced a hiring push for engineering and growth roles in June 2026 to accelerate the development of its knowledge graph platform.
Sumble emerged from stealth with $38.5 million in combined seed and Series A funding. The round was led by Coatue and Canaan Partners, with participation from notable investors including Marc Benioff and Nat Friedman.
Sumble has officially launched its AI-powered go-to-market intelligence platform after raising $38.5 million. The company aims to provide sales teams with deeper context through a living knowledge graph.
Sales intelligence startup Sumble has emerged from stealth with $38.5 million in funding led by Canaan Partners and Coatue. The company uses LLMs to provide sales teams with contextual data about prospective customers.
Sumble has officially launched from stealth, securing $38.5 million in combined seed and Series A funding. The startup aims to revolutionize sales intelligence by providing deeper context through AI-driven data analysis.
Sumble has launched with $38.5 million in funding to provide sales teams with AI-driven context on prospective companies. Founded by Kaggle creators Anthony Goldbloom and Ben Hamner, the startup uses knowledge graphs to map technographic data.
Sumble's founders introduced their platform to the Hacker News community, detailing its use of LLMs to extract entities and build a knowledge graph for go-to-market teams. The post generated significant positive interest from users regarding the platform's data granularity.
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