About Rasa

In 2016, we built Rasa NLU to give developers control over their language understanding. No more black-box APIs or vendor lock-in. That idea resonated with millions because owning your stack matters when it’s powering real-world automation.

Then came the LLM wave. Everyone raced to plug their workflows into closed models and hoped for the best. But we’ve seen how that story ends: high costs, unpredictable behavior, and little control when things go wrong.

So we did what we’ve always done and built the infrastructure we wished we had.

Rasa today lets you run your own LLMs while controlling logic and performance in the way you need: natural language instructions where that’s enough and deterministic guarantees when there’s no room for ambiguity. Our architecture separates language from execution, so you get voice and chat AI agents that scale reliably, even in complex enterprise environments.

You don’t have to trade flexibility for reliability. You can have both, and you can own it end-to-end.

We'd love to connect if that sounds like what you’re building toward.

— Alan Nichol, Co-Founder & CTO, Rasa