Keewano launches agent-focused database with $12 million in seed funding

Keewano made KeewanoDB generally available on September 15, pairing the launch with disclosure of $12 million in total seed funding. The event-oriented database is designed to help AI agents analyze long histories of activity, and the financing gives the startup new capital as it brings the product to market.

Keewano said Hetz Ventures led the seed financing, with participation from a16z Speedrun, Remagine Ventures, DIG Ventures and angel investors. The company did not disclose its valuation, investor-by-investor amounts or a closing date.

KeewanoDB stores the events associated with each entity together and in sequence, according to the company. An agent examining a customer, device or other subject can therefore query that ordered history instead of reconstructing it across separate records. Keewano also says analysis and custom logic run close to the stored data, an architecture it presents as a way to reduce data movement, latency and cost.

The company claims KeewanoDB can query 250 million events in under half a second and process trillions of events in parallel. Those speed and scale figures are Keewano’s claims; the research reviewed for this article identified no independent benchmark or test methodology. The company’s product site also claims the approach can cut large-language-model processing costs by as much as 84%, a result that has not been independently validated.

Keewano says the database can ingest events from Kafka, Postgres, Snowflake, BigQuery, Parquet and Iceberg, while exposing results through MCP, SQL, REST, APIs and analytics tools. Its product site lists local and managed-cloud editions. The company says the cloud service can operate alongside an existing data warehouse or replace it, and that KeewanoDB does not use per-event pricing.

Keewano was founded in 2024 by Mark Kardashov, Dima Karger, Pavel Bibergal and Vitaly Bukhovsky. An a16z Speedrun company profile also lists the four founders and the 2024 founding year.