AI/ML
Data/Analytics
Enterprise SaaS

Scuba

Shared context and memory for teams and AI agents

CORE INFO

$34M
Total Funding
Seed
Round
2025
Founded
~10 employees
Team Size
New York City, United States
Headquarters

Scuba is a team knowledge platform that captures documents, conversations, screenshots, videos, and other work, then organizes them into searchable collections. It is designed for teams that want people and AI tools such as Slack, ChatGPT, Claude, and Cursor to work from the same organizational context.

  • Seed round: Accel and IVP co-led Scuba's latest round, announced October 13, 2026; the company reported $34 million raised across its pre-seed and seed rounds.upstartsmedia.comstreetinsider.com
  • Early users: Hundreds of people used Scuba during a six-month private beta for product launches, strategy, customer feedback, investments, and market research.ivp.com

WHY WE WOULD WORK AT SCUBA

Build Shared AI Memory

Help create the context layer that lets teams and AI agents work from the same decisions, customer insights, and strategy—not isolated fragments.

Shape a New Category

Scuba is defining shared organizational memory while still in limited beta, giving early team members meaningful influence over product direction, pricing, and adoption.

Work With Proven Builders

Founders Noah Desai Weiss and Dolapo Falola previously led product and engineering at Slack, and nine early teammates had worked with them before.

Connect Humans And Agents

Build integrations across Slack, ChatGPT, Claude, Cursor, and MCP so AI tools can access and contribute to a team's evolving knowledge.

Make Knowledge Actionable

Turn documents, webpages, screenshots, conversations, videos, and voice notes into searchable Collections that support launches, customer research, investments, and strategy.

Grow With Strong Backing

Join a seed-stage company with $34 million raised from Accel, IVP, BoxGroup, Conviction, Homebrew, and other respected investors—plus hundreds of private-beta users.

MARKET AND TRACTION

GROWTH TACTICS

  • Scuba is building distribution through integrations with Slack and AI tools including ChatGPT, Claude, and Cursor via Model Context Protocol connectors.

  • The company uses a limited-access beta and waitlist to gather product feedback while evaluating pricing and packaging.

  • Low-friction capture through browser, mobile, desktop, keyboard-shortcut, and Slack workflows supports adoption across existing team activities.
  • KEY METRICS

    ✦ KEY METRIC
  • Scuba has raised $34 million across pre-seed and seed rounds, with the seed round co-led by Accel and IVP.

  • The company reported hundreds of early users during a six-month private beta.

  • Scuba launched with approximately 10 employees and remained in limited access at launch.
  • MARKET POSITION

  • Scuba is positioned as a horizontal team-software platform providing shared organizational context and memory for humans and AI agents.

  • Its demonstrated use cases span product launches, customer feedback, strategy, market research, investments, and collaboration across technology and AI-enabled organizations.

  • The product differentiates itself from conventional chatbots and document-management tools by connecting the reasoning, decisions, and context behind team knowledge.
  • NOTABLE CUSTOMERS

  • No formal customer list or named paying customers have been publicly disclosed.

  • Early users reportedly included founders, product leaders, investors, and technology executives, with usage across launches, projects, investments, customer feedback, and strategy.

  • Publicly referenced users or testers include Matt Wahl, Andrew Braccia, and Alex Konrad; these individuals should not be treated as confirmed paying customers.
  • PRODUCT AND TECH

    Content Capture

    Scuba captures documents, webpages, screenshots, conversations, videos, voice notes, and other content through keyboard shortcuts, a browser extension, and mobile apps. This brings scattered team knowledge into a shared system.

    Searchable Collections

    The platform automatically summarizes, organizes, and connects captured content into shared, searchable Collections. Collections preserve context around projects, decisions, customers, launches, and strategy.

    Shared Context Engine

    Scuba provides an organizational memory layer that helps teams and AI agents access accumulated decisions, plans, and knowledge. Its retrieval and contextual search capabilities support AI-generated summaries, answers, and documents.

    MCP Agent Integrations

    Model Context Protocol connectors let ChatGPT, Claude, Cursor, and other AI tools read from and write to Scuba. This enables humans and AI agents to work from the same organizational context.

    Slack Integration

    Scuba integrates with Slack so users can ask questions or capture conversations directly from channels. The service uses OpenAI, Anthropic, and Google models to process and summarize connected content.

    COMPANY CULTURE

    Values

  • Shared context over isolated speed

  • Preserving organizational judgment and decision-making

  • Human-and-AI collaboration

  • Product craftsmanship and attention to detail
  • Operating Principles

  • Make knowledge capture low-friction through lightweight tools and integrations

  • Help teams and AI agents work from the same organizational understanding

  • Connect information across projects, customers, decisions, and strategy

  • Balance automatic collection with privacy-conscious sharing
  • Work Style

  • Small, experienced, collaborative team

  • Fast-moving startup environment shaped by limited-access beta feedback

  • Focus on practical product use cases such as launches, customer research, and strategy

  • Emphasis on thoughtful product judgment and user experience
  • Team Background

  • Founders and early employees with prior experience at Slack, Google, Foursquare, Meta, and The Browser Company

  • Team members have experience building search, collaboration, AI, and information-access products

  • Early team largely includes people who have worked together previously