Deployment choices
Run monō as SaaS, in your own cloud or on-premises. We agree with you the requirements each option needs to meet.
Choose where the platform runs and whose accounts are used for AI models. We agree data flows, access and human review points with your security team before work begins.
Your data is never used to train models. Before work begins, we agree data flows, where data is stored and ownership terms with your security and risk teams.
Whichever deployment you choose, inference can run through monō or through your own cloud and model accounts.
For each deployment, we agree access controls, audit records and where people review agent-prepared work.
Held
Deployment choices and evidence for public-sector and education requirements.
Improve one critical process and measure the value before deciding what comes next.