Video Memory: Turning Unstructured Footage into Structured, Searchable AI Context

Join us for our September meetup featuring Bhanu Reddy, who will present on building a memory layer for video intelligence — transforming raw video into structured, searchable, persistent memories for AI reasoning.

Event Details

• Date: Tuesday, September 29th
• Time: 7:15 PM to 9:15 PM
• Location: New Highland Park Venue - RSVP to find out!

Featured Session

Video Memory: Turning Unstructured Footage into Structured, Searchable AI Context

Bhanu Reddy

As AI systems move beyond text into video and other multimodal data, one of the biggest open problems is memory — how do you turn hours of raw footage into something an AI can actually search, reason over, and act on?

In this talk, Bhanu will walk through the architecture of a memory layer for video intelligence: a system that transforms unstructured video into structured, persistent, queryable memories. We’ll dig into the core technical challenges of extracting meaningful structure from raw video, and explore real-world applications across robotics, video intelligence platforms, and emerging multimodal interfaces like smart glasses and AI assistants. Expect a technical deep dive with plenty of room for questions.

About Bhanu

Bhanu Reddy is an AI/ML engineer focused on memory and context systems for multimodal AI. His work centers on transforming raw video into structured, persistent memories that AI systems can search and reason over, with applications spanning robotics, video intelligence, and next-generation multimodal interfaces like smart glasses. He’s interested in AI systems that don’t just perceive the world, but remember and reason over what they’ve seen.

Bhanu is building memv.ai, a context and memory layer for AI — a Memory Layer for Video Intelligence that transforms raw video into structured, searchable, persistent memories for AI reasoning.

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See you soon, both familiar faces and first-timers alike.

Jonathan Shertok
Organizer, Nerds Like Me