AI That Knows What Your Team Knows

Every team is moving faster with AI, but few are moving smarter together. The decisions, debates, and customer insights that matter most are scattered across docs, threads, and in people’s heads. So everyone ends up prompting alone from scratch, without the full weight of the organization’s earned insights and wisdom. A prompt alone can’t carry the full weight of an organization’s knowledge. Models do better work when the right information is in front of them. Context brings out the relevant attributes in the model and supplies the details that make an answer grounded and useful, rather than simply plausible.

That makes AI effectiveness a data question. The teams getting real value will connect AI to the decisions, conversations, documents, and processes that shape how they work. Much of the opportunity in AI now is helping it work inside the systems people already depend on, with results they can understand and trust.

Scuba captures that context in one click and makes it available when people need it. Hundreds of early beta users rely on it to develop company and product strategy, track customer feedback, and cut down on meetings. One person’s capture can easily turn into context the whole team builds on. The result is AI that reflects what a team knows, how it works, and what it has already decided. As software gets easier to create, that shared judgment matters more. We already use it every day.

Noah Desai Weiss, formerly Slack’s Chief Product Officer, and Dolapo Falola, former Head of Engineering at The Browser Company, started Scuba to give agents that context. We’ve known them for years as product builders who blend novel capability with great design to make tools that people love.

We led Scuba’s pre-seed round, and today the company announced $34 million in total funding. The defining teams of the next decade will be the ones whose agents understand their values, judgment, and history. Scuba is built for them.