Speak to the bench.
Sweep bias and log S21 to a dataset, in a sentence. The agent turns intent into instrument commands through MCP.
Platform
AI Agent
AI at the hardware layer
Intelligent instrument control and monitoring. Natural-language runbooks connected to your hardware through MCP, scoped to the page and permissions you're working in.
Lab automation has always meant someone writing brittle scripts against instrument manuals. Carbon's agent works the other direction: you describe the measurement, it plans the instrument calls, and you see every step before it runs. Because it acts through the same permissioned control plane your team uses, it can never reach hardware or data your role can't.
Scoped to your permissions.
The agent only sees the instruments, files, and datasets your role allows, on the page you're working in.
From manual to autonomous, at your pace.
Start with suggestions, graduate to runbooks, and let routine experiments run unattended only when you decide they should.
How it works
Ask
Describe the measurement in plain language. The agent drafts the tool calls before anything touches hardware.
Review
Every planned step is visible up front and scoped to your role through MCP, what it can't see, it can't touch.
Record
Commands, responses, and datasets are logged as they happen. Promote a run to autonomous once you trust it.