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Give internal audit and external supervisors the same answer, with every prediction traced to its inputs, ready before a SREP review asks for it.
Keep one complete, current inventory of every model in production — the register regulators expect you to already have.
Catch model drift automatically, so business units keep moving without you becoming the bottleneck that catches it manually.
Map every control to the specific article it satisfies, so a supervisory request gets a documented answer, not a scramble.
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Yes, on-premises deployment is fully supported, alongside cloud and hybrid configurations, including for institutions with the strictest data residency requirements. The platform connects to your existing infrastructure rather than replacing it, drawing data from clinical trial management, manufacturing, pharmacovigilance, and supply chain systems into a single connected view while your current systems continue to operate as they do today. We
Your data remains within infrastructure you control at all times and never leaves the boundaries you define. Data is encrypted both at rest and in transit, and access is governed by the same controls your compliance and information security functions already rely upon, with every interaction logged and auditable.
Explainability is a core capability of the platform, not a supplementary feature. Given the scrutiny applied to decisions affecting clinical development, manufacturing quality, and pharmacovigilance, every output can be traced to the specific factors that produced it, ensuring the result is defensible to regulators, auditors, and internal quality functions alike.
Most deployments take around 90 days from kickoff to go-live, though the exact timeline depends on the complexity of your data environment and which product you're deploying. We'll map out a specific timeline for your organization during a briefing, so you're planning around a real date
