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ElideDB. Database for Physical AI

Future of video memory for Physical AI

ElideDB is a database for Physical AI. It is a robot’s memory in videos, cheap and fast. Show it a clip and it returns every other time something like that happened, with timestamps, in few milliseconds. No labels, nothing trained on your data, works on footage it has never seen.

Top comment

I have been researching in the space of physical AI and Urban sensors. The problem started with a simple synchronization issue from multiple data sources. When working on that and solved the problem, it made sense to scale it up. The question came what do robots struggle with?. As there is a ton of data already available and petabytes of data getting generated every other day, the problem came out to be storage and retrieval. Its expensive to just store all the data and make no use of it without manual labelling. The problem I took upon is what will make this data sitting in warehouses for months incurring costs, useful. Thats when I came up with Elide DB. A database for physical AI. Industries techniques currently are not efficient and expensive using a VLM. My curiosity towards world models made it possible to strike a perfect missing piece.

About ElideDB. Database for Physical AI on Product Hunt

Future of video memory for Physical AI

ElideDB. Database for Physical AI was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #71 on the daily leaderboard. ElideDB is a database for Physical AI. It is a robot’s memory in videos, cheap and fast. Show it a clip and it returns every other time something like that happened, with timestamps, in few milliseconds. No labels, nothing trained on your data, works on footage it has never seen.

On the analytics side, ElideDB. Database for Physical AI competes within Robots, Data & Analytics, Database and OpenAI Day — topics that collectively have 18.8k followers on Product Hunt. The dashboard above tracks how ElideDB. Database for Physical AI performed against the three products that launched closest to it on the same day.

Who hunted ElideDB. Database for Physical AI?

ElideDB. Database for Physical AI was hunted by Sudharshan Ramesh. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of ElideDB. Database for Physical AI including community comment highlights and product details, visit the product overview.