OliverAI Secures Pre-Seed for Agentic AI Database Platform

OliverAI has secured pre-seed funding from Menlo Ventures and Unusual Ventures. This investment will help grow OliverDB, an analytical data platform designed for agentic AI systems. The company states that existing enterprise analytics struggle with the continuous, high-speed demands of AI agents. This leads to performance issues and increased computing costs, impacting the return on AI investments. OliverDB, developed by co-founders Praneet Sharma, Grace Johnson, and Toby O’Brien, aims to solve this. Tests show Oliver runs hundreds of times faster than ClickHouse on CPUs, and thousands of times faster with GPU execution. This allows massive data environments to operate on significantly fewer servers. Tim Tully of Menlo Ventures sees Oliver as a foundational shift for agentic AI, similar to the impact of Snowflake and Databricks in past data infrastructure. John Vrionis of Unusual Ventures emphasizes the need for reliable, governed data access for enterprises. Beyond speed, OliverDB provides observability and governance across databases, letting companies track agent actions and set policies. It uses a "model swarm" approach, running multiple specialized models in parallel. OliverDB is available now as a managed service or within customer networks. This development could significantly improve how businesses manage and utilize their AI systems.