Polimake
+
Drop here

Find it even when you can't remember what they called it

Your team names files however they can. Polimake understands them anyway — and brings them back when you search, not when you remember where they were.

IMG_2847.jpg
captura.png
WhatsApp Image
foto1.jpg
sin título.jpg
screenshot.png
Product on a table

Forget naming files like it's 2010

You're used to naming things chaotically: unnamed files, “final_v3_FINAL_real,” or internal tags only the person who made them understands. That's over.

Natural-language search across an asset library in Polimake

You upload, the AI generates the keywords for you

You hand over the files, the AI analyzes them and generates a wealth of searchable keywords on its own — both the direct ones (what you see) and the indirect ones (concept, tone, context). As time goes on, you build up data that makes everything searchable.

AI-generated tags and recommendations on an uploaded image

Exact or similar — you decide how close

You can search for exact things (a file, a project, a specific brand) or for things that resemble each other: visually, thematically, by concept. The engine blends all three without you having to pick a mode.

Search results mixing exact and approximate matches

The more you have, the better it finds

It used to be that the more files you had, the harder it was to find anything. Here it's the opposite: the more you upload, the richer your creative memory and the better it understands what you're looking for. It scales with you, not against you.

A Polimake library with many searchable assets

Any frame of any video

We scan the contents of the video too — not just the file. In plain language you can search for the exact frame where someone smiles, where the product appears, or where the logo shows up: and Polimake finds it inside the video, not just the video itself.

Tags and moments detected inside a video in Polimake

Stop hunting for files and start producing

Request access and try natural search on your own library.