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Penguin Ai Launches Snowflake Native App to Automate HCC Risk Adjustment

by Jasmine Pennic 01/12/2026 Leave a Comment

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 Penguin Ai Launches Snowflake Native App to Automate HCC Risk Adjustment

What You Should Know

– Penguin Ai has announced the launch of its Hierarchical Condition Category (HCC) Coding & Risk Adjustment solution as a Snowflake Native App.

– By bringing its risk-adjustment intelligence directly into a customer’s Snowflake environment, Penguin Ai enables Medicare Advantage (MA) plans and risk-bearing providers to automate diagnosis extraction and improve Risk-Adjustment Factor (RAF) accuracy without moving or exposing sensitive patient data.


The “Data Gravity” Advantage: Native Intelligence

Traditional manual HCC coding is time-intensive and error-prone, often acting as a bottleneck for reimbursement. Penguin Ai’s solution disrupts this by leveraging the Snowflake Native App Framework.

  • Zero Data Movement: Because the app runs directly inside the customer’s Snowflake account, it eliminates the security risks and integration complexities associated with moving PHI to third-party clouds.
  • Context-Aware Analysis: The platform applies automated analysis to identify, confirm, and clarify diagnosis codes aligned with CMS-HCC models.
  • Audit-Ready Insights: The solution delivers precise, fully traceable automation, making it “audit-friendly” for payers facing increasing regulatory pressure to ensure defensible documentation.

The Pedigree: Reducing the $1 Trillion Administrative Burden

Penguin Ai was founded by Fawad Butt, former Chief Data Officer of Kaiser Permanente, UnitedHealthcare, and Optum. This deep institutional knowledge of the “administrative friction” in US healthcare—which costs roughly $1 trillion annually—is reflected in the platform’s focus on operational efficiency.

Beyond HCC coding, Penguin Ai utilizes task-specific Small Language Models (SLMs) and Agents to streamline:

  • Prior Authorizations: Reducing the wait-time for critical care.
  • Claims Processing & Appeals: Automating the “re-work” that often delays provider payments.
  • Medical Record Summarization: Turning volumes of clinical text into actionable summaries for risk adjustment.

“Payers and risk-bearing providers are under increasing pressure to ensure accurate, defensible HCC documentation,” said Fawad Butt, CEO of Penguin Ai. “By bringing Penguin Ai’s risk-adjustment intelligence directly into Snowflake’s customer environments, organizations can modernize their coding workflows with greater trust, stronger compliance, and faster time to value—without moving or exposing sensitive patient data.”

As Snowflake expands its healthcare partner ecosystem, the addition of purpose-built AI like Penguin Ai is “critical to driving meaningful business outcomes”. For payers looking to “modernize their coding workflows” with faster time-to-value, the ability to install a solution directly from the Snowflake Marketplace represents the next phase of the “App-Store-for-Healthcare” evolution.

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Tagged With: Artificial Intelligence, medical coding, Revenue Cycle Management

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