The agentic era demands fundamentally new analytics — AI-native, always current, and built for agents.
It burdens data teams and requires complex workflows, endless maintenance
of gold and semantic layers, and a data stack that was never designed for agents.
RiverPool is going to change all that.
From scratch to
business insights in hours
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.
BACKED BY:

Join the waitlist for early access to the product launch.
The agentic era
demands a fundamentally new analytics — AI-native, always current, and built
for agents.
It burdens data teams and requires complex workflows, endless maintenance of gold and semantic layers, and a data stack that was never designed for agents.
RiverPool is going to change
all that.
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.
BACKED BY:
