What we build must be verifiable.

For decision-makers, regulators, and international organizations: our principles of conduct, how we handle data, and the frameworks that guide our work.

Principles

Four verifiable commitments.

01

You own what we deliver

Code, procedures, documentation, and data remain the client’s property.

02

Transparency by design

No black box: architecture, responsibilities, and controls are documented.

03

Governance from day one

Risks, controls, and human review are defined before deployment, not after.

04

Proof before promise

We publish no result without a source, an owner, and a measurement method.

Data and hosting

Your data stays within the agreed scope.

01

Chosen hosting

Depending on data sensitivity and the applicable jurisdiction: with you or with a host selected together.

02

Logged access

Access to our clients’ data is attributed to named individuals, limited, and logged.

03

No implicit use

A client’s data is never used to train a model without an explicit decision.

04

Reversibility

Open formats and export procedures: you can change provider.

Frameworks

The frameworks that guide our work.

We use these frameworks as guides. We do not claim any organizational certification that is not proven by an official document.

FrameworkUse at DOSOBE
ISO/IEC 42001Reference for the governance of the AI systems we design and deploy.
Personal data protectionRules applied to every project that processes personal data, from the design stage.
AI regulationsClassification of uses by risk level and associated controls.
Digital accessibility (WCAG)The basis of our audits and our inclusive design.
Report a problem

A vulnerability, a doubt, a question?

Écrivez à [email protected] avec l’objet « Sécurité ». Nous accusons réception sous deux jours ouvrés.

A compliance framework to meet? Let’s talk before we build.

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