AI already talks well. The hard part is making it act — on real machines, inside real sessions, in real projects, finishing something you can actually sign off on. That is the tooling we build.
The agent engine is embedded where people actually work: the terminal, the browser, the project space. Different hosts, same engine — every product gets the same tool dispatch, permission gates, context management and completion tests, instead of parallel reimplementations each growing its own bugs.
The terminal for the AI era
Multi-screen, broadcast, session memory, bastion access. Wire your AI assistant straight into your remote systems and stop being the courier for its context.
On the Mac App Store; Windows and Linux to follow.
An embeddable agent engine
The core our products share. It owns the hard part — the agent loop, tool dispatch, context management, provider adaptation, quality gates — and never holds a system resource it can borrow from its host.
Built for embedding; not shipped on its own.
Bring your own provider key and pay your provider directly. We add no markup and run no relay — so there is nothing for us to meter.
You buy a fixed term. When it ends, updates stop — access does not. The software you paid for keeps running.
Whether a task is finished is decided by ground truth — files on disk, tool exit codes, page state — not by the model announcing success.
IATerm is the first surface we shipped. It is on the Mac App Store.