Control over AI in the company. Visible and verifiable.
VERIAX makes the data, models, costs and actions of AI agents visible and governable, with a verifiable activity log.
The problem
Bringing AI into the company raises precise questions: where the data ends up, how much it really costs, who did what.
Without clear answers, the project stalls before it starts.
What it does · Three steps
Costs and usage
Aggregate consumption and costs, daily trend, ranking by model, agent and user.
Usage limits
Caps on the number of requests per agent, over configurable intervals.
Context consumption
How much context each exchange uses, in real time.
Activity log
Tamper-proof log of actions, with any tampering detectable.
Natural-language diagnosis
Agents read and explain execution traces.
Corrections that improve the agent
Feedback and verified answers, agent by agent.
Data sovereignty
Customer infrastructure, private cloud or THUX CODE hosting.
Permissions and security
Who can do what, on data and on agents.
Encrypted credentials
Protected credentials, used only when needed.
Personal data protected
Detection and replacement of personal data, enabled per agent.
Limits on model behavior
Rules that block requests on topics that aren't allowed.
Multi-factor authentication
A second factor, via app or email, on top of the password.
Protection of calls to other systems
Blocking of calls to unauthorized resources.
Control — recurring promise
Data stays with the company.
The company chooses the models.
Key actions are tracked.