Riverpool Information

Traditional analytics require expensive data teams, complex workflows, endless maintenance of gold and semantic layers, and a data stack that was never shaped for agents. The agentic era demands something fundamentally different, a data layer that is AI-native, always current, and purpose-built for agents. RiverPool is going to change all that. We're still working under the radar toward launching our technology and product soon. As a preview: we automate an organization's entire analytics workflow, from ingesting source-system data to delivering trusted KPIs, autonomously building an AI-native data warehouse that requires minimal human involvement. If you're in the early stages of building out your analytics, it's worth hearing how you can achieve cutting-edge results at a fraction of the cost of a traditional analytics stack, while optimizing your data analytics compute and token consumption. RiverPool was founded by the team that spent over a decade building Redis. We made databases fast and simple, and we're bringing that same obsession to warehouses and analytics. We’re backed by Lightspeed Venture Partners, Bain Capital Ventures and Vine Ventures.