Scuba raises $34M to build a shared context engine for AI teams
Scuba, founded by former Slack leaders Noah Desai Weiss and Dolapo Falola, has raised $34 million across pre-seed and seed rounds. The startup aims to solve a growing pain point in AI-driven work: context fragmentation. Teams using AI agents and assistants often lack a shared memory hub to align on goals, decisions, and artifacts like articles, videos, or meeting notes.
Key points
- Scuba raised $34M in pre-seed and seed rounds, led by Accel and IVP, with backers like Slack’s Butterfield and Stripe’s Collison
- Product captures web artifacts into searchable Collections, shared across teams and AI tools like ChatGPT and Claude
- Founders aim to prove value by letting users test it on complex projects before pricing, citing high AI costs as a hurdle
Scuba’s product, called a context engine, lets users capture and organize information into Collections—searchable, interactive hubs shared across teams. It integrates with tools like ChatGPT, Claude, and Slack via MCP connectors. Early adopters, including Slack co-founders Stewart Butterfield and Cal Henderson, use it to replace messy shared drives or ad-hoc chats. The team of 10 plans to expand access before pricing, citing high AI model costs. Backers include Accel, IVP, and investors from Stripe, LinkedIn, and Salesforce.
Scuba, which is building a "context engine" designed to serve as a shared memory hub for human workers and AI agents, raised $34M across pre-seed and seed
upstartsmedia.com · 13 October 2026
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