Enterprise
Enterprise Evaluation
Govern memory, Vault, tools, routing, evidence, and deployment before scaling AI across teams.
What enterprise docs should prove
Enterprise buyers need confidence that TARX can help teams adopt AI without losing control of data, secrets, tools, models, or evidence.
Start with the control model:
- Memory: what AI may remember
- Vault: where credentials and sensitive secrets belong
- Tools: which systems AI may touch
- Routing: where work is allowed to run
- Evidence: what happened and why
Deployment paths
TARX should be evaluated through a path, not a generic seat plan.
| Path | Use |
|---|---|
| Local-first pilot | Private AI workflows on employee Computers. |
| Hosted Supercomputer | Permissioned hosted power when local hardware is not enough. |
| Private runtime | Customer-scoped deployment for stricter data and policy requirements. |
| BYO providers | Keep approved model/provider agreements while TARX manages runtime policy and evidence. |
Readiness language
Use status labels instead of overclaiming:
- Available now
- Pilot-ready
- Roadmap / in progress
If a capability is not production-true, mark it clearly.