We’ve shipped some of the most demanding infrastructure and agent products in the industry, and we’re building Armature with the same standards.
Shipped on the most secure infrastructure in the industry, for customers where the security bar is non-negotiable.
Built Bring-Your-Own-Cloud observability from scratch, so customer data never left their environment.
Deployed production AI agents to 6M users. Real workflows at consumer scale.
For thirty years, software was built for one user: the person at the keyboard. Across discovery, analytics, design, and support, every assumption answered the same question: how does a human use this?
That question is changing. Increasingly, the user is the agent. A customer opens an LLM, types a goal, and the agent does the rest: reading documentation, picking the right tool, judging the result. The screen disappears. The interface becomes a protocol. User experience is becoming agent experience.
Once you accept that, every layer of the stack is up for rewrite.
Your UI is moving from the browser to an MCP server. Tool definitions become your design language; structured outputs replace screens.
Clicks and funnels give way to reasoning traces and tool-call graphs. You no longer measure what people moved through. You measure what agents decided.
Affordances are no longer visual. They live in tool names, parameter shapes, error messages, and examples.
When an agent gets stuck on your product, the right responder is rarely a human. It’s another agent, one that can read traces, inspect logs, and resolve the issue without paging anyone.
The hard part isn’t building this new world. It’s seeing it clearly.
Step one is understanding how agents are using your product today: what they reach for, where they fail, why they retry. Step two is rebuilding it for them.
That’s what we’re doing at Armature.