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AI-powered productivity app Tana emerged from stealth with $25M raised across two rounds

Tana, an AI-powered productivity app founded by ex-Google employees, has emerged from stealth after gathering $25 million in funding and a 160,000-person waitlist for its platform that automatically organizes user information through a knowledge graph system.

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Feb 9, 2025 · 1 min read

Tana, a company developing an AI-powered workspace that lets users build customized knowledge graphs, has emerged from stealth with $25 million in funding at a $100 million valuation. The company's most recent funding round is a $14 million Series A led by Tola Capital, with participation from Lightspeed Venture Partners, Northzone, Alliance VC, and firstminute capital. Tana plans to invest its funding into developing AI agents and strengthening one of the platform's key differentiators: voice-powered workflows.

The platform combines automated list-building, note-taking, and application integration capabilities. The platform's most remarkable features are its voice-powered workflows and Supertags. The former can listen to conversations on videocalling platforms such as Zoom, or process voice memos recorded directly into the platform, transforming them into transcriptions and actionable items. Supertags are flexible labels that can perform tasks as simple as enabling users to categorize their items—for example, as #read and #unread entries in a book list—and as complex as supporting an automated workflow.

Founded by ex-Google employees Tarjei Vassbotn and Grim Iversen, along with Norwegian entrepreneur Olav Kriken, Tana has already generated significant interest with over 160,000 users on its waitlist. According to the startup, this count includes interested parties from 80% of Fortune 500 companies. Interestingly, Tana is closely related to previous attempts at solving workplace productivity challenges. Tana co-founder Grim Iversen worked in Google Wave, a collaborative real-time editor founded by Tana angel investor Lars Rasmussen.

Tana is currently open to a wider public who can sign up for a free 14-day free trial, followed by a $8 per month yearly subscription, or a $10 monthly fee. Subscriptions contemplate enough AI usage to transcribe and summarize approximately 400 minutes of meetings or voice memos.


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Ellie Ramirez-Camara
News Editor

Ellie Ramirez-Camara is the News Editor at Data Phoenix, where she writes the daily AI newsdesk — covering model releases, research, funding rounds, and policy across the AI and machine-learning industry. She tracks announcements from labs and startups alike and distills them into clear, source-linked reporting for practitioners.

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