Scuba exits stealth with $34M to build shared memory for AI teams
What's the deal? ScubaDealroom has a profile for this one. Try Dealroom →, a startup building what it calls a shared context engine for teams and their AI agents, emerged from stealth with $34 million raised across two rounds. Accel led the pre-seed, with IVP joining Accel to co-lead the seed. BoxGroup, ConvictionDealroom has a profile for this one. Try Dealroom →, Homebrew, and Scribble VenturesDealroom has a profile for this one. Try Dealroom → also participated.
Who's behind it? Scuba was founded by Noah Desai Weiss, former chief product officer at Slack, and Dolapo Falola, former head of engineering at The Browser Company. The two have worked together since 2011 across GoogleDealroom has a profile for this one. Try Dealroom →, Foursquare, and Slack.
What's the endgame? Scuba lets teams capture and share context — articles, screenshots, docs, videos, threads, voice notes — from a browser, app, or their agents. It organises the material automatically, then surfaces trends, changes, and conflicts through daily briefings. Users can connect it to ClaudeDealroom has a profile for this one. Try Dealroom →, ChatGPTDealroom has a profile for this one. Try Dealroom →, CursorDealroom has a profile for this one. Try Dealroom →, and Slack so outputs draw on the team's own thinking.
Why now? Weiss argues the problem has shifted. "The frontier models aren't intelligence bound. They're context constrained," he said. The pitch: AI gives every team the same answers averaged from the public internet, so proprietary context becomes the edge.
The backing. Scuba's angel roster spans founders from Slack, Instagram, Stripe, LinkedIn, Salesforce, Datadog, Vanta, Dropbox, and Duolingo, among others. "Slack did it for team communication with channels. Cursor did it for writing code with AI. Now Scuba is doing it for team alignment with shared context," said Andrew Braccia, partner at Accel.
By the numbers. The round sits in the top 1% of seed rounds in marketing over the trailing 48 months, ranking in the 99th percentile across a sample of 2,601 deals. That places Scuba among the largest early-stage raises in its category.
The signal: Investors are betting that the next competitive layer in enterprise AI is not the model but the context fed into it. Scuba is one of several startups wagering that company-specific memory — not raw model power — is where teams will differentiate. As Weiss put it, the aim is to be "the 1% of AI spend that makes the other 99% pay off."
Read more: AP News
Image credit: Generated with Gemini
