Safety is engineered in
Guardrails, limits and fail-safes are designed in from the start, not patched on after launch. A system that can't be operated safely doesn't ship.
Trust
Safety at the centre, not the edges.
"Responsible AI" is easy to say and hard to prove. Here are the principles we actually build to, and the mechanisms behind each one. They apply to our own products and to everything we build for clients.
Responsible AI
Four principles, built in.
Privacy is a promise, not a setting
We never sell or share your data and never quietly train on it. We collect the minimum, keep it only as long as needed, and say in plain language what's kept and why.
Autonomy has limits
Our systems act on their own only where the risk is contained: spotting problems, recovering and drafting fixes. Anything with real consequences is proposed, then waits for a person.
A person keeps the final call
Automation does the routine lifting; people keep judgement over the decisions that matter. We make that line visible, so no one has to guess where the machine stops.
Security
How we protect what we build.
Layers of protection
- Encrypted connections everywhere
- Two-step sign-in for staff
- Access limited to the people who need it
- Software kept up to date automatically
Your data stays yours
- Never sold, shared or used to train AI
- You own the data, the code and the accounts
- Automatic backups, with restores tested
- A written plan for incidents
Where it runs is your choice
- Canadian data storage available
- Can run in your own accounts
- Health checks and alerts around the clock
Security documents are available to clients and public-sector buyers on request.