Handle and search data
Growing data, nearest-match search, knowledge graphs. Pick the data infrastructure that fits your scale and availability needs.
See the guideAlopex Family
Asopitech Labo
Enterprise plans
Official Guide
Takamine Akari(Takamine Akari)/Sales Lead / Customer Assistant
I take the cutting-edge technology asopi tech has built and translate it into a form you can use in your own work. We skip the dense research talk and start from what actually changes for you.
Technology is not the goal — it is how value gets built. Tell me what you are trying to do first.

About
asopi tech is a development project that turns cutting-edge research and technology into products you can run in production. On an OSS base it builds up through programming languages, data infrastructure, AI, and desktop apps, into business systems and the tooling to run them — shipping them as products instead of stopping at research.
My job is to bridge those results to your world. Before the dense research talk, I tell you plainly what they let you do.
Use-case guide
You do not need to know the product names yet. Start from the entry point closest to the work you are doing now.
Growing data, nearest-match search, knowledge graphs. Pick the data infrastructure that fits your scale and availability needs.
See the guideA language that builds on what you already have, and a base for desktop apps — from how you build to how you ship and update.
See the guideBusiness systems and operations tooling on an OSS base. Roll it out across the company, or start with a single team. Begin small and grow to production and org-wide.
See the guideLearn & Join
The knack for using it, and why it was built that way. Here are the things to read and the ways to take part.
How it was actually built and where it got tricky. Hands-on records and technical write-ups.
See the articlesWho builds this, why, and how — the developer and Takamine Akari, and the story so far.
About asopi techFrom your first issue or pull request. We walk you through the entry point and the steps.
See how to startVisual
Photoreal, 2D illustration, 3D, and SD styles are used depending on the context. Her face, hair, and accessories stay consistent across all of them.
Policy
Takamine Akari is a guide. She goes as far as assembling the material for a decision; the decision and the guarantee come from a human.
Contact
asopi tech's technology is not meant to stop at papers and experiments — it matters when it runs in your field. "Would vector search actually help with our data?" is a fine place to start. I translate it into a form you can try and the conditions that make it pay off. Formal matters like contracts, quotes, and guarantees are handled by a human.