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Scuba launches with $34M to help teams and AI agents manage business data

Scuba, the developer of an eponymous productivity service, today announced that it has received $34 million in funding. The company raised the capital over two rounds. Accel led the first investment and co-led the second with IVP. The firms were joined by BoxGroup, Conviction, Homebrew and Scribble Ventures. Scuba also boasts a long list of […] The post Scuba launches with $34M to help teams and…

Scuba launches with $34M to help teams and AI agents manage business data

Scuba, a productivity service developed by Flashback AI Inc., has secured $34 million in funding to assist teams and AI agents in managing business data. The company raised the capital over two rounds, with Accel leading the first investment and IVP co-leading the second round. BoxGroup, Conviction, Homebrew, and Scribble Ventures also participated in the funding.

Scuba's platform, officially Flashback AI Inc., functions as a context engine, enabling teams to centrally store data used by both humans and AI agents. Co-founders Noah Desai Weiss and Dolapo Falola launched the company last year, with Desai Weiss previously serving as Slack's chief product officer and Dolapo as The Browser Company's head of engineering.

The service's Capture feature, accessible via a browser extension and iPhone app, allows users to save relevant information such as news articles, chatbot responses, and internal correspondence. Capture can also ingest multimodal input, including audio notes up to 90 minutes long, videos, screenshots, and other media files. Uploaded files are organized into thematic collections, which Scuba organizes without manual editing.

Scuba generates daily Briefing reports summarizing important changes in collections, highlighting business trends that unfold over time. Users can share collection information with AI tools via an MCP server. Scuba interoperates with Claude, ChatGPT, Cursor, and Slack, streamlining the process of incorporating files into AI prompts. The funding will be used to accelerate engineering and go-to-market efforts.

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