AI agents are eating the world. Nobody agreed on how to build them.
Six frameworks. Six ways to define an agent. Six ways to lose your work the moment you outgrow the one you picked.
Prototype today, rewrite in six months — production always demands it. That's not a rite of passage. It's a solved-elsewhere problem nobody's solved here.
Ship something that works, and it dies with the client, the project, the sprint. No way to package it, reuse it, sell it. Start from zero again next time.
Deploy at scale, and you're flying blind. No budget caps. No audit trail. No straight answer when someone asks what your agents are actually doing.
And the platforms built to fix this? They ask for a trade. Give up your framework. Give up your model. Give up your infrastructure. Give up ownership of what you build.
We don't think that's a trade worth making.
We believe the framework you already know should be the framework you keep using — not a bet you're locked into on day one.
We believe governance isn't a feature you bolt on later. It's the foundation, or it's nothing.
We believe what you build once should work twice — for the next client, the next team, someone else's problem that looks a lot like yours.
We believe owning your stack shouldn't depend on which country you're in.
So we're building ELIZON: an open-source platform to build, run, and govern AI agents — in any framework, deployed anywhere, owned by you.
No rewrite. No lock-in. No black box.
We've done this before — shipped multi-tenant AI infrastructure in production, not in theory. We're building it again, open, for everyone hitting the same wall we did.
Open source. Self-hosted or cloud. Built to grow with you.
If you're rebuilding the same plumbing every time — talk to us.
Founder
Previously built Sirma.AI Enterprise — an API-first, multi-tenant agentic AI orchestration platform with BYOK architecture and configurable LLM routing. ELIZON is a second iteration of a working production system, not a hypothesis.
Roadmap
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