aiqbench analysis
KeewanoDB addresses a critical infrastructure gap by offering an event-oriented architecture specifically optimized for AI agents to process long sequences of behavior without traditional ETL pipelines. By storing data in chronological order on solid-state drives and utilizing vectorized CPU instructions, the system enables real-time analytics essential for autonomous decision-making. This product launch represents a significant shift in database design from human-centric structured queries to machine-centric temporal reasoning.
Startup Keewano launches agent-focused database and pulls in $12M in funding
Database startup Keewano today launched KeewanoDB, an event-oriented database designed to give artificial intelligence agents real-time context for analytics and decision-making. The startup also announced $12 million in funding from Hetz Ventures, Andreessen Horowitz LLC’s a16z Speedrun and other investors. The Tel Aviv-based company, whose formal name is Sandstorm Ltd., argues that conventional relational databases […] The post Startup Keewano launches agent-focused database and pulls in $12M in funding appeared first on SiliconANGLE.
Database startup Keewano today launched KeewanoDB, an event-oriented database designed to give artificial intelligence agents real-time context for analytics and decision-making. The startup also announced $12 million in funding from Hetz Ventures, Andreessen Horowitz LLC’s a16z Speedrun and other investors. The Tel Aviv-based company, whose formal name is Sandstorm Ltd., argues that conventional relational databases and data warehouses were built for structured queries by people, not for artificial intelligence agents that must examine long sequences…
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