Trust · provable for QA, IT and business
traqx shows which source, which version and which approval sits behind an AI-assisted decision — before it enters the process.
Founded by CSV experts with 15+ years of domain expertise.
What QA, IT and business need to see
traqx ties AI support to sources, roles, reviews and approvals. So it stays visible where a suggestion comes from, who reviewed it, which version is affected and which decision resulted from it. That is the difference between AI text and regulated GxP work. traqx addresses all three perspectives through the same mechanism: AI drafts, the human reviews, the human approves, the audit trail stays intact.
Approval and evidence logic. Every suggestion is bound to a source; every approval carries a name and a version.
Clear data and model boundaries. EU-hosted, no model training on your data, no data leaving the agreed scope.
Speed that is not paid for later in review. Controlled pace instead of correction loops before the audit.
Built by CSV experts: Founded by CSV experts with 15+ years of domain expertise. traqx is born not from AI hype but from GxP practice — from the experience that inspectors do not ask for polished drafts, but for evidence, versions, accountability and traceable decisions.
The traqx core principles
Sources first. AI stays a suggestion. The human decides. The audit trail stays. These principles are not marketing — they are the conditions under which AI is permissible in regulated GxP work at all. Click through.
Approved SOPs, templates, policies and guides take priority. traqx suggests nothing that is not bound to your knowledge base and a concrete source.
GxP decisions are not approved automatically. Every AI content item is marked as a suggestion until approval. Only your decision turns the suggestion into evidenced state.
A source reference holds or fails. There is no deterministic score suggesting an „87% certainty“ that no one can defend in an audit. Passed or not passed — and that is traceable.
Uncertain or missing values are not inserted silently but marked visibly. Where data is missing, you see a gap — not a plausibly invented placeholder that later turns out to be a finding.
Changes, sources, approvals and open points stay traceable. The trail arises while working, not at year-end: who, what, when, on what basis, AI-suggested or human.
EU-hosted. No model training on customer data. Your documents stay your documents — they do not improve any external model and do not leave the agreed scope.
These principles describe how traqx is built — no audit numbers or customer results. Concrete evidence arises on your own document in your own first process.
Security & standards · built for traceable evidence
Founded by CSV experts with 15+ years of domain expertise
Trust pack for internal review
For internal decisions, the relevant information is provided in a structured way: data protection, model training, hosting, deletion, subprocessors, security status and validation approach. Where evidence is not yet final, this is clearly marked — no logos, no reference claims, no disguised customer stories.
Formal certifications and a dedicated trust center are in preparation; the status will follow once it is reliable.
Trust is not decided on a page but on your own document. We test against a real process: one system or process, one standard, one clear scope. You judge on your material whether source binding, review logic and audit trail are reliable for your process — and whether they let you lead your department more calmly through the next audit. We set the success criteria together in writing beforehand: a test you defined yourself, you cannot lose. The documented assessment is yours — even if you say no afterwards. And we delete your source space after the test on request, demonstrably.
EU-hosted. No model training on your data. Human approval stays mandatory.