Scuba raises $34 million in pre‑seed and seed rounds to build a context engine for human workers and AI agents
agents startup
| Source: Techmeme | Original article
Scuba, a startup building a context engine that serves as a shared memory hub for human workers and AI agents, has raised $34 million in pre‑seed and seed funding.
Scuba, a startup founded by former Slack leaders Noah Desai Weiss and Dolapo Falola, announced its emergence from stealth with a $34 million financing round that spans pre‑seed and seed stages. The round was led by Accel on the pre‑seed side, with IVP participating in the seed tranche.
The company’s core product is a “context engine” – a shared memory hub that records and surfaces organisational knowledge for both human workers and AI agents. According to Desai Weiss, the CEO, the engine is meant to give teams the “shared memory that … has been missing,” enabling them to stay aligned as they adopt increasingly autonomous AI tools. By centralising context such as decisions, workflows and project goals, Scuba aims to reduce the friction that arises when individuals and AI assistants operate on divergent understandings of a company’s priorities.
The funding underscores investor confidence that bridging human‑AI collaboration will become a critical layer of enterprise software. As AI agents move from isolated assistants to co‑workers, a reliable source of shared context could determine whether teams scale efficiently or fragment under competing signals.
Scuba’s next steps include rolling out its platform to early‑stage customers and integrating with existing collaboration suites. Observers will watch how quickly the engine can ingest data from disparate tools, how it handles privacy and security concerns, and whether larger players—such as the newly funded Pluto Security or emerging multimodal model providers—will offer competing context‑management solutions. The company’s ability to attract further capital and demonstrate tangible productivity gains will be key indicators of whether its shared memory concept gains traction across the Nordic and broader European AI markets.
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