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Security

Security first, then scale.

Most AI projects fail security review because security was added at the end. We design for it from the first day, and we have taken our work through enterprise security reviews.

What we commit to on every project.

Your data stays yours.

Systems run in your cloud account or one you own at handover. We do not reuse client data, and we do not use it to train AI models.

Only the data the task needs.

We agree in writing what data the AI can see before any work starts.

Only the right people get in.

Every tool has sign-in, and access lists your own staff can update.

Every action leaves a record.

Agents and automations log what they did, so you can check any result.

A person checks sensitive work.

Anything touching customers, patients, money or legal matters has a human review step before it goes live.

No passwords or keys in code.

Credentials live in a managed secret store, with spending limits on paid AI services.

Proof

Two projects that passed a real security review.

We brought 11 AI applications at a college under one security standard, closing 22 classes of security finding along the way.

We took a custom AI coaching platform through a global insurer's full vendor security review, including a check that no user can see another user's data.

For procurement and IT teams

What we sign, and where we host.

We regularly complete vendor security questionnaires and can sign your NDA and data processing agreement. We can host in Canadian or US cloud regions on request.

Have a security question
before you start?

Book 30 minutes with one of our engineers. We will walk through your data rules and how we would protect them.