Keewano builds KeewanoDB, a database architected specifically for machine reasoning rather than human dashboards. The platform stores complete event sequences in chronological order with full context so AI agents can query historical, behavioral data directly instead of relying on pre-aggregated tables. Founded in 2024 by CEO Mark Kardashov along with Dima Karger, Pavel Bibergal, and Vitaly Bukhovsky, the Tel Aviv company announced the general availability of KeewanoDB alongside its funding, targeting engineers and analytics teams doing churn prediction and complex behavioral analysis.
Builder’s Brief
Keewano is a data tool on Falcoscan. Database built for AI agents to reason over enterprise event data. Falcoscan rates Keewano with an Opportunity score of 72/100, a Saturation score of 33/100, and a Wrapper-risk score of 12/100. Market signal: hot. Keewano is founded in 2024, currently at Seed stage. Pricing: Freemium.
Market position · Data
How Keewano compares in Data
Keewano's opportunity score of 72 ranks #65 of 309 live Data tools on Falcoscan, 4.3 points above the category average of 67.7. Its saturation score is 33/100, against a category average of 33.1. 120 of the 309 live Data tools carry a hot signal, and Falcoscan has recorded 15 shutdowns in the category.