San Francisco-based startup Memories.ai has raised $8 million in seed funding to develop its AI platform capable of analyzing up to 10 million hours of video across multiple sources. The round was led by Susa Ventures, with backing from Samsung Next, Fusion Fund, Crane Ventures, Seedcamp, and Creator Ventures.
Founded by Dr. Shawn Shen, a former research scientist at Meta’s Reality Labs, and Enmin (Ben) Zhou, a former machine learning engineer at Meta, Memories.ai addresses a key limitation in AI video analysis: understanding context across extended timeframes. While current AI tools excel at summarizing short clips, they fall short with long-duration or multi-video reasoning — a challenge for sectors like security and marketing.
Memories.ai’s proprietary architecture compresses, indexes, and tags video content, enabling natural language search and high-level aggregation. The system supports deep contextual querying and pattern recognition, allowing users to retrieve insights such as identifying interview subjects from hours of footage or detecting anomalies in surveillance streams.
With 15 employees, the company plans to expand its team and enhance platform capabilities, positioning itself as a core infrastructure layer for AI visual memory in both enterprise and consumer applications.
Featured image: Credit: Memories.ai
