Trust cannot be decreed.
At Octopize, it is demonstrates — scientifically, legally, and technically.
Strong external validations
Our method has been submitted to independent third parties:
- Audited compliant by the CNIL,
- Published and peer-reviewed in the scientific journal Nature Digital Medicine.
These validations demonstrate the methodological robustness and scientific credibility of our solution.
Guarantees built into each generation
Each generation of synthetic data is accompanied by a full quality report, evaluating:
- The privacy, via exclusive metrics developed to verify the 3 EDPS criteria, coupled with an assessment of the impact associated with the context of use (AIPD).
- And the utility, by evaluating the maintenance of the data structure at several levels (unimodal, bimodal, multimodal).
These reports offer a total traceability and an objective measure of the result.
Transparency: a fundamental commitment
Because trust comes from transparency, part of our code is available in open-source.
In particular, we share:
- our data preparation processors,
- and the dimension reduction library used in the generation.
This allows the community to check and experiment by itself the robustness of our tools.
In summary
Robustness is not a commercial dispute, it is measurable proof.
At Octopize, each avatar data generated is accompanied by guarantees, evaluations and independent validations.
Because without trust, there is no data. And without data, there is no innovation.
