July 2025
John Snow Labs, a leader in artificial intelligence used in healthcare, today officially launched Martlet.ai. An independent healthcare AI company and a provider of artificial intelligence solutions with its initial focus on the accuracy and efficiency of Hierarchical Condition Category (HCC) coding. This new spinoff marks the inaugural venture in a Sequence of ventures focused on mitigating some of the most urgent and high-consequence healthcare problems with domain-specific AI. Martlet.ai aims to leverage years of experience in effective AI implementation in the real world to offer a new generation of solutions to the market.
HCC coding is fundamental in identifying patient risk profiles, rectifying payment models, and promoting sustainable values by setting standards in care as healthcare organizations transition to a more value-based delivery system and approach a potential rate increase in CMS Medicare Advantage programs in 2026. Conventional methods of HCC identification are often associated with manual chart review and legacy systems that are time-consuming, prone to error, and cannot be easily scaled. The AI-driven platform provided by Martlet.ai is designed to provide a solution on the ground up to solve these shortcomings. Its seamless integration into clinical workflows and unrivaled performance, accuracy, and compliance.
David Talby, CEO of John Snow Labs, emphasized the strategic importance of the launch
“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. The combination of state-of-the-art, healthcare-specific, proprietary medical language models, an optimized human-in-the-loop workflow, and enterprise-grade validation layers, Martlet.ai was engineered by industry leaders to be compliant, effective, and production-ready from day one.”
Hasham Ul Haq, CTO and Co-Founder of Martlet.ai, added
“We built Martlet.ai to be more than a tool—it’s a platform built by coders, for coders, with clinicians and finance teams in mind. Our AI engine doesn’t just suggest codes—it explains them, validates them, and ensures that each decision is backed by both technology and traceable clinical logic.”
July 2025
July 2025
July 2025
July 2025