AI that runs inside your own walls.
Most AI pilots die somewhere between the demo and the audit. This is the part that survives: automations your people build by describing them, running on a schedule, with a record of what they did and a boundary around what they may touch. On your own servers, on your private cloud, or hosted by us.
Three products, one way of working
Build the automation, agree the work, and see the result.
You can start with any one of them. They share a login, a permission model and a history, so the second one costs less to bring in than the first.
Build and run
Agent Manager →
Describe a job in plain language and the platform builds the automation with you, then runs it on a schedule or when something happens. Every run keeps its inputs, its output and its duration.
- Automations built by describing them
- Schedules, events and on-demand runs
- A full record of every execution
Ask and answer
AI Assistant →
Answers questions from your own content rather than from the open internet, so the answer is the one your documents actually give. It says where each answer came from, and it says so when it does not know.
- Answers drawn from your own material
- Every answer shows its source
- Runs on your infrastructure if it has to
How it runs
Install it in your own data centre, including sites with no internet connection at all. Run it on the Kubernetes cluster you already operate. Or let us host it in the region you choose. It is the same product in every case, and people sign in with the account they already have.
Works with the rest of the range
The automations do not have to stop at the office door. They can read the KPI definitions your reporting already uses, file evidence into a compliance record, and act on what the machines on the plant floor are reporting.
How to start
Bring one job you would rather not do again.
The fastest way to judge this is on your own work. Pick a recurring job that costs a person half a day a week, and we will build it with you in a session and hand you the result running.