John Snow Labs, the AI for healthcare company, has officially launched Martlet.ai, a new healthcare AI spinoff focused on transforming Hierarchical Condition Category (HCC) coding for payers and providers. This marks the first in a series of targeted spinoffs aimed at solving high-impact healthcare challenges using domain-specific AI solutions.
HCC coding is essential for patient risk adjustment and reimbursement, particularly as CMS Medicare Advantage changes increase the dependency on accurate documentation. Martlet.ai addresses this need with a secure, on-premise AI-based engine purpose-built for clinical documentation workflows.
Founded by John Snow Labs veterans Hasham Ul Haq (CTO) and Ritwik Jain (CRO), Martlet.ai delivers:
- On-premise deployment for full data security and compliance
- AI models trained directly on patient charts for high accuracy and auditability
- Seamless EHR integration for efficient, two-way data exchange
- A human-in-the-loop workflow optimized for real-world coding teams
West Virginia University (WVU) Medicine is already leveraging Martlet.ai to improve its risk adjustment workflows. The solution has enabled the health system to uncover previously missed HCC codes, increase Risk Adjustment Factor (RAF) scoring accuracy, and reduce manual review time significantly. Their success was shared in the NLP Summit session, “Maximizing Patient Care through AI-Enhanced HCC Code Discovery.”
“Martlet.ai gives healthcare organizations the power to take HCC coding into their own hands with a level of customization and compliance that is unmatched,” said David Talby, CEO of John Snow Labs. “From proprietary medical language models to enterprise-grade validation, it’s built for real-world clinical impact from day one.”
To explore Martlet.ai or schedule a demo, visit Martlet.ai.
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