As artificial intelligence moves beyond screens into the real world, the need for systems that can “see” and remember is becoming more important. Memories.ai is working to solve this challenge by developing a visual memory layer that enables AI-powered wearables and robotics to store and recall what they observe.
The company announced a collaboration with Nvidia at its GTC conference on Monday. Through this partnership, Memories.ai is using Nvidia’s Cosmos-Reason 2, a reasoning vision language model and Nvidia Metropolis, a platform for video search and summarisation, to advance its visual memory technology. Founder Shawn Shen said the idea emerged while he and co-founder and CTO Ben Zhou were building the AI system behind Meta’s Ray-Ban glasses. They realised that recording video alone was not enough if users could not easily retrieve and use that data.
“AI is already doing really well in the digital world. What about the physical world?” Shen said. “AI wearables, robotics need memories as well. … Ultimately, you need AI to have visual memories. We believe in that future.” While companies like OpenAI, xAI and Google Gemini have introduced memory features in recent years, these have mostly focused on text. Shen noted that text-based memory is easier to structure but less useful for AI systems that interact with the physical world through visuals.
Founded in 2024, Memories.ai has raised $16 million, including an $8 million seed round in July 2025 and an $8 million extension, with backing from Susa Ventures, Seedcamp, Fusion Fund and Crane Venture Partners. The company launched its large visual memory model (LVMM) in July 2025 and recently released its second generation. To train the model, it built a custom wearable device called LUCI to collect video data, as existing devices did not meet its needs. Memories.ai has also partnered with Qualcomm to run its technology on their processors later this year and is working with several wearable companies, though names were not disclosed. Shen added that the company is focused on building core infrastructure, as the broader wearables and robotics market is still evolving.
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