Tana is an AI-native workspace that fuses an outliner, a graph database, and a layer of AI agents into a single product. Every line in Tana is a node that can be tagged with Supertags, structured templates that act simultaneously as classifications and as schemas. Once a piece of content is tagged, for example as #meeting or #project, Tana automatically populates the right fields, surfaces it in dedicated hubs, and links it across daily notes.
The company was founded in 2021 by Tarjei Vassbotn (CEO), Olav Kriken, and Grim Iversen. Vassbotn and Iversen are both ex-Googlers; Iversen was one of the senior engineers on Google Wave, the conceptual ancestor of many modern collaborative document tools. Tana is headquartered in Palo Alto with a development team in Norway, and remained in invite-only stealth for several years while building a 160,000-person waitlist that included employees from more than 80% of the Fortune 500.
Funding history is concentrated in early 2025. Tana raised roughly $11M in seed financing from a consortium that included the co-founders of Dropbox, Datadog, and Google Maps, then announced a $14M Series A in February 2025 led by Tola Capital with follow-on participation from Lightspeed Venture Partners, Northzone, Alliance VC, and firstminute capital. Total disclosed funding stands at approximately $25M and the Series A was reported at a $100M post-money valuation.
The product is sold via a freemium model. The Free plan covers all note and Supertag features, 500 AI credits, 3 workspaces, and modest storage. The Plus plan, at roughly $10 per month (or $8 per month billed annually), unlocks meeting transcription, model selection across providers, custom AI agents, and notifications. Tana also offers Pro and team plans for power users and small organizations.
Voice has emerged as a signature use case. Tana's mobile app supports voice-first capture where a spoken note is automatically transcribed, classified, and routed into the right hub based on Supertags. AI agents inside Tana can then summarize meetings, draft follow-ups, and surface relevant nodes the user has previously created. The depth of structure (graph + tags) gives the AI better grounding than a typical flat-document workspace.
The differentiator is the combination of three things that are usually separate: graph-based knowledge model, outliner UX, and native AI agents. Notion is stronger on collaborative documents and templates; Obsidian is stronger on local-first plain-text and plugins; Roam pioneered the bidirectional-link outliner but lacks structured types. Tana ties graph, schema, and AI together in a way that pulls organic search demand from comparison queries like 'Tana vs Notion' and 'Tana vs Obsidian'.