Open Source AI
The Enlightenment grew through the sharing of knowledge: ideas people could study, question, and build on.
We see open source as a continuation of that spirit. Share what you learn. Let others look inside, improve it, and take it somewhere you never imagined.
Knowledge becomes something we build together. That’s beautiful progress.
Local AI
Run models on your own hardware. Keep private work close. Choose what you use and how you use it.
Local AI gives you more control over your data, your setup, and the models you run. Something you can keep, adapt, and make your own.
Cheaper, faster,
better.
We believe open-source and local AI can deliver all three. Lower costs. Faster workflows. Better tools for the way your company actually works.
Choose your models. Connect your data. Build around your own needs, with a stack you control and can keep improving.
We want more companies to have their own AI stack. And we’re here to help them build it.
AI is improving
exponentially.
Massive improvements are happening. What these tools can do keeps expanding, and so does what we can build with them.
Change will be constant. Get used to working and learning with AI that keeps getting better. Revisit what didn’t work before. Rethink what’s possible.
You don’t need to follow every release. Keep experimenting, keep learning, and let your way of working evolve with the tools.
AI for a
better world.
We believe AI is our greatest opportunity to improve society and the wellbeing of every human being and all life.
Better care. More accessible education. More time to create, understand each other, and care for the living world.
That future is something we have to build. We want the knowledge, tools, and benefits to reach everyone.
Stay curious.
Build things.
The best way to understand what’s changing is to make something with it.
Small experiments. Real problems. Learn as you go.
You don’t need a perfect plan to start. Just something worth trying.
Keep it simple.
“Keep things simple,
but not too simple.”
— A paraphrase of Einstein
Enough to solve the problem. Enough to understand how it works. Enough to make it yours.