For decades, productivity software has promised to transform how people work. Despite an infinite stream of to-do applications, note-taking tools, and project management systems, the basic issue persists: information is dispersed, workflows are fractured, and people spend more time managing work than really performing it.
Tana, an AI-powered knowledge graph startup, is the most recent attempt to address this recurring issue. The company has spent nearly four years developing its method and has already raised $25 million in funding, attracting the attention of major investors and a growing network of eager users.
Tana has received funding in two stages. Tola finance led the most recent round, a $14 million Series A at a post-money valuation of $100 million, with support from Lightspeed Venture Partners, Northzone, Alliance VC, and firstminute finance. The previous $11 million initial round featured investments from La Famiglia (now part of General Catalyst) and key angels such as Google Maps co-founder Lars Rasmussen, Dropbox co-founder Arash Ferdowsi, Runway founder Siqi Chen, and Datadog founder Olivier Pomel.



