Chat
Your team talks, then invites a model into the conversation.
You communicate. You invite a model. Better answers. Every send follows your rules.
Three moves. Then your rules, on every send.
You and your colleagues work in a channel, the way you already do. The model is there, but it stays quiet until someone calls it.
When the question is ready, you mention a model the way you would a colleague. Any popular model. It reads what you hand it, not the whole conversation. Two models invited, two opinions. A fast model for everyday work, a stronger one for reasoning: you choose each time.
The answer lands in the conversation, in front of everyone. The model asks its questions in the same place. You correct, you try again, and the team decides. A better question gets a better answer.
AI tools
Chat, code, agents, and APIs
Governance layer
Policy · Detection · Decision · Audit
Sensitive data stops in Canada
Model providers
One access point for popular models
Your team’s AI tools pass through the tonia governance layer before reaching a model provider.
Every request uses the same door, whatever the tool.
Your team talks, then invites a model into the conversation.
Your compatible tool uses the secure endpoint.
Your application uses the API or SDK.
This layer lives outside the model. A model cannot authorize itself.
Your authorized manager decides, category by category, what is allowed. Nothing leaves without that authorization.
Before anything is sent, scans the request for regulated personal information.
Sensitive data stops the request on the spot. Non-sensitive data goes through as-is, with no added filtering.
Every decision is signed, timestamped, and kept, whether sent, blocked, or redacted.