For decades, analytics infrastructure has been built for humans. Events are stored flat as rows, columns and precomputed aggregates; any question about the order things happened in has to be reassembled at query time, and the more event types a company keeps, the slower and pricier it gets. Most deployments capture only a few hundred distinct event types, because each type adds instrumentation, slows queries and costs more. Teams must decide in advance what's worth keeping, and discard the surrounding context.
"We were trying to use AI agents to answer business questions like 'which of our users are on the same path as the ones who churned last month?'," said Keewano Co-founder and CEO, Mark Kardashov. "You could see what happened on any dashboard, but why it happened lived somewhere the databases couldn't reach. Our databases had been designed for humans querying tables, not machines that need to reason live, with complete context. To support agents properly, we realized we'd have to build a completely new storage format."
KeewanoDB takes a fundamentally different architectural approach. KeewanoDB keeps each entity's complete event sequence together and in order, so an agent can read answers directly from the raw data rather than reconstruct them, allowing for much faster and more accurate queries. With KeewanoDB, you can query a quarter of a billion events in under half a second, returning context-ready results agents can reason over immediately.
With KeewanoDB, an AI agent can investigate questions a dashboard can't: why a customer churned, what sequence of behaviors led to an outcome, what distinguishes one group of users from another, or any new and complex behavioral questions no one thought to model in advance. An agent can see what happened before what, identify the patterns users have in common, and proactively surface emerging risks.
KeewanoDB doesn't use per-event pricing, so organizations can capture more and query more. The fully managed Keewano Cloud service connects alongside an existing data warehouse or replaces it, using standard integrations. Organizations can plug-in their own AI agents or use Keewano's.
Keewano was co-founded in 2024 by Mark Kardashov, Dima Karger, Pavel Bibergal and Vitaly Bukhovsky – a team with two prior exits and a decade running analytics at gaming scale. Kardashov and Bukhovsky have built and sold two companies together: TestProject acquired by Tricentis in 2019, and Devalore acquired by Abra in 2022. Bibergal was CTO at Plarium and Karger led one of its largest studios, building and scaling games for millions of players globally.
"Every wave of AI adoption exposes the layer underneath it that wasn't built for the new workload," said Judah Taub, Managing Partner at Hetz Ventures. "We think machine reasoning is exposing exactly that gap in analytics infrastructure, and Keewano is addressing it directly rather than patching around it. That's why we led the round."
"In 1964, Japan didn't try to make trains faster on the same track. They built a new line," said Kardashov. "Databases are at that fork now. AI agents need a fundamentally different data architecture, and we've built KeewanoDB as the new line."
About Keewano
Keewano is the first database for machine reasoning at scale. Traditional analytics databases are optimized for humans asking known questions through tables, dashboards and predefined views. AI agents ask differently, so KeewanoDB's storage format was designed around how machines reason: every event complete, in order, in context, and live the moment it lands. That design unlocks unlimited events, agent-scale throughput, and the grounded context agents need behind every answer. With KeewanoDB, organizations can retain more data, query large event histories quickly, and reduce the storage and processing overhead of agentic analysis. KeewanoDB is also the only database of its kind that does not charge per event – a model made possible by an engine built specifically for machines. Founded by a team with deep experience across gaming, B2B SaaS and infrastructure, Keewano is backed by Hetz Ventures, a16z speedrun, Remagine Ventures and DIG Ventures. Learn more at https://keewano.com/.
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