We didn't just build an AI. We raised one. Trained on 20+ years of financial data, RevIntel is the first purpose-built Revenue Cycle Intelligence.
RevIntel was trained on real hospital financial data spanning two decades. It learned from actual patterns, not synthetic examples.
Early CPT patterns, basic payer dynamics, and the shift from paper to electronic claims. RevIntel absorbed the fundamentals of RCM workflows.
ICD-10 transition, value-based care models, and rising denial complexity. RevIntel learned to navigate regulatory shifts and payer behavior changes.
AI-ready datasets, pandemic adaptations, and sophisticated denial patterns. RevIntel evolved into a predictive powerhouse ready for deployment.
RevIntel isn't passive. It actively works across your entire revenue cycle.
It doesn't just check edits—it predicts rejection probability before submission, catching issues that traditional scrubbers miss.
Reads clinical notes to suggest optimal CPT/ICD-10 codes with higher accuracy than human coders, capturing missed revenue automatically.
Scans 100% of claims (not samples) to find hidden revenue leakage instantly, uncovering patterns invisible to traditional audit methods.
Omega's RevIntel Model learned from 20 years of your specific challenges vs AI from generic web data.
We fed RevIntel 500 million de-identified claim records, 50,000 payer contracts, and 2 decades of coding guidelines. It understands the difference between a "medical necessity" denial in 2015 vs. 2025.
Unlike generic AI models trained on internet text, RevIntel was raised on the actual language of healthcare finance—the patterns, exceptions, and edge cases that only exist in real-world RCM operations.
It doesn't just find errors after the fact. It stops them before they leave the building.
Scans every claim payload against 15,000+ proprietary edits before it hits the clearinghouse. Catches billing logic errors, missing modifiers, and invalid code combinations that traditional scrubbers miss.
Reads unstructured physician notes to ensure the complexity of care (E/M levels) matches the billed code. Identifies under-coding and over-coding before submission.
Assigns a "Denial Probability Score" to every claim. If the score is >50%, the claim is held for human review. Prevents denials before they happen.
Every time a payer changes a rule or denies a claim, RevIntel updates its internal logic within 24 hours.
Payer sends denial code
RevIntel identifies root cause
Logic adjusted overnight
Future claims protected
In late 2025, we turned RevIntel on for our first pilot group.
The results were baffling.