Engineering Hallucination-Free AI

Building high-integrity clinical models requires more than just volume; it requires Deterministic Ground Truth.  RegenMed provides the decentralized infrastructure to structure evidence at the source, ensuring your models are trained on what the physician actually observed, not what a billing algorithm guessed.
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The Unreliability of "Data Exhaust"

The Problem: Most clinical AI today is trained on Secondary Data Sets — information originally captured for billing, coding, and administration. This data was never intended for scientific research or model training.
The Engineering Deficit:
The Inference Trap
When AI learns from "Data Exhaust" (billing codes and CPT), it is learning from a system of "guesses" rather than clinical reality.
The Documentation Gap
Dictated notes and messy EHR entries lack the standardized structure required for machine learning, leading to "hallucinations" and unverified model outputs.
The Verification Crisis
Without a direct link to the primary clinical observation, AI developers cannot provide the Deterministic Proof that regulators and payers now demand for clinical-grade applications.

Ground Truth, Minted at the Point of Care

The Solution:  RegenMed eliminates the "Inference Gap" by defining the data structure before the patient encounter begins.  Our Schema-on-Capture infrastructure enables clinicians to provide high-fidelity training data as a byproduct of their clinical workflow.
The Veracity Advantage:
Deterministic Integrity
Data is verifiable back to the primary clinical source, providing the high-resolution evidence needed to train models with 0% hallucination risk.
Scientific Sovereignty
Our federated, "zero-copy" model ensures that clinical IP is captured with the highest degree of integrity and security.
Foundational Skills Alignment
We protect against technology dependence by ensuring AI tools are built on the "fundamentals" and sound clinical judgment of leading physicians.

Commercial & Regulatory Readiness

Regulatory Clearance

Accelerate FDA de novo or 510(k) pathways by providing deterministic effectiveness data that exceeds the baseline standards of "safety-only" submissions.

Clinical Trust

Build tools that physicians trust because they were trained on actual medical mastery, not "administrative noise".

Payer Adjudication

Ensure your AI-driven intervention receives coverage by providing the longitudinal verification that carriers require to authorize high-value care.

The Standard for Value Verification

1.4m+
Structured Datapoints
75+
Active Specialty Protocols
3X
YoY Network Growth
The Evidence Vault
Access technical documentation, Circle Library assets, and our White Paper on "Engineering Hallucination-Free Clinical Evidence".
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