We build the infrastructure that makes AI agents production-ready.

Amadalis was founded on a simple observation: enterprises aren't failing at AI because the models aren't smart enough. They're failing because the infrastructure wasn't built for production AI workloads.

Every enterprise we talked to had the same story. They evaluated frameworks, wired them to vector databases, bolted on monitoring, started building governance from scratch, and ended up with fragile stacks that their security teams wouldn't approve. The problem wasn't any single tool — it was the seams between them.

Forge is the answer to fragmentation.

Instead of assembling a platform from best-of-breed pieces, we built one. Execution, governance, observability, memory, knowledge, and integration — designed together from day one. When an agent runs in Forge, the governance isn't a policy layer. It's the architecture. The bypass doesn't exist.

We believe AI infrastructure should be deep — solving the hard problems (governed execution, structural tenant isolation, document intelligence with citations). It should be governed — not by policy overlays, but by architecture that makes ungoverned behavior impossible. And it should be accessible — because the compliance analyst and the operations manager need AI too, not just the ten engineers who understand the pipeline.

Deep. Governed. Accessible.

That's not a tagline. It's an engineering commitment. Everything we build starts with those three words.