Limbix (by BigHealth)
Evidence-based digital therapeutics for adolescent mental health and behavioral activation.
Patented Forensic AI for autonomous payment integrity and healthcare fraud detection.
Codoxo is a specialized AI platform providing a unified Healthcare Integrity Suite powered by its patented Forensic AI technology. Moving beyond the limitations of legacy rules-based engines, Codoxo's architecture utilizes unsupervised and semi-supervised machine learning to identify emerging patterns of fraud, waste, and abuse (FWA) before they become systemic. In 2026, the platform stands out for its 'Shift Left' approach, enabling healthcare payers, government agencies, and PBMs to transition from retrospective 'pay-and-chase' models to real-time, pre-payment prevention. The system analyzes vast streams of claims data, clinical records, and provider behaviors to generate highly accurate risk scores and actionable investigative leads. Its technical framework is designed for the high-security requirements of the healthcare sector, ensuring HIPAA compliance and seamless integration with existing core administrative processing systems (CAPS). By automating the clinical review process and provider network monitoring, Codoxo significantly reduces administrative overhead while maximizing the recovery of misspent healthcare dollars.
A proprietary unsupervised learning engine that identifies statistical outliers in billing patterns without requiring pre-defined rules.
Evidence-based digital therapeutics for adolescent mental health and behavioral activation.
Predictive clinical and operational intelligence to fight death and waste in healthcare.
Predictive medical data and clinical insights for streamlined enterprise underwriting.
The professional medical network for clinicians, providing HIPAA-compliant AI and telehealth solutions.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Uses Natural Language Processing (NLP) to audit clinical notes against submitted ICD-10 and CPT codes.
360-degree provider profiling using social network analysis to find collusion and fraud rings.
Pre-payment claim analysis module that intercepts suspect claims before they are adjudicated.
Analyzes provider network performance and credentialing data for compliance anomalies.
Identifies beneficiary-level anomalies such as doctor shopping or identity theft.
API-driven hooks that feed AI risk scores directly into claims adjudication engines like Facets or QNXT.
Traditional systems can only find fraud patterns that have already been documented in rules.
Registry Updated:2/7/2026
SIU confirms the pattern as fraudulent and updates adjudication rules.
Providers billing for higher levels of care than supported by their medical records.
Excessive prescriptions for controlled substances or high-cost specialty drugs.