Most AI-enabled medical devices get approved. They still don't perform consistently in the real world.
Not because the evidence is missing — because it doesn't behave the same across environments. Same device, same validation, different outcomes depending on where it's deployed.
Today, the ecosystem is built to generate evidence and clear regulatory thresholds — PMPF, PMS, PSUR. It is not built to guarantee that the evidence holds once a device is in the field.
That's the gap VarunaForge AI closes. We are the independent, cross-site layer that detects performance drift in AI-enabled medical devices and turns it into audit-ready evidence — proactive, statistically grounded, and owned by the manufacturer for its notified body or the FDA.
We operate today inside post-market workflows, because that's where real-world data already exists — but we sit underneath both legacy and emerging diagnostics, as the layer that makes what's validated once keep performing wherever it's deployed.
"Validated" is not permanent.  The question isn't whether this layer will exist. It's who builds it.

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VARUNAFORGE AI

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