Company profile
Keebler Health
AI-first risk adjustment platform for Medicare & Medicaid.
- Category
- Healthcare AI
- Headquarters
- Durham, North Carolina
- Sells to
- Mid-market
- Business model
- Not stated
- Deployment
- Cloud / SaaS
- Pricing
- Not published
- Builds own models
- Yes
- Modalities
- Text, Tabular
What Keebler Health does
Keebler Health is an AI-first risk adjustment platform for providers and payers that are at risk for Medicare & Medicaid lives. Through a custom-built, transformer AI model, Keebler Health quickly uncovers risk adjustment opportunities with minimal encounter data. It is built for accuracy and clinical decision support, delivering opportunities with transparency, confidence, evidence, and counterfactual support. The platform integrates all data, from faxes to FHIR, and is designed to amplify CDI, Coding, & Audit Teams.
Products
- Keebler Pre-visit PlanningA tool to support pre-visit planning processes.
- Keebler HCC coding workflowA workflow solution for HCC coding.
- AI Risk AdjustmentSmarter RAF Capture with AI-Driven Reasoning, utilizing all data (structured + 80% unstructured) to build a whole-patient record, going beyond machine learning with a reasoning layer, and providing audit-ready captures backed by source evidence.
- Comprehensive Record CaptureFunctions as a 'HIE of HIEs' to bring together fragments into one source of truth, pulling in faxes, consults, PDFs, and scanned notes beyond the EHR to create a unified, gap-free, and trusted patient record.
- Accurate, Audit-Ready HCC CodingReviews the entire patient history to uncover every HCC opportunity with linked source evidence, identifying missed HCCs across populations, protecting revenue, and ensuring audit-proof accuracy.
- Chart Review That Works the Way You DoAutomates ingestion and surfaces insights directly into clinician workflows, uncovering hidden signals in unstructured notes, providing navigator and prep support, and ensuring clean handoffs between reviewers and clinicians.
- Clinical Decision SupportEmpowers clinicians in real time with insights that guide care decisions, surfacing relevant risk signals and patient trends directly in workflow, providing predictive signals, and whole-patient context.
- CMS-HCC Model V28Helps confidently navigate V28 with accurate RAF scores, audit-ready evidence, and seamless adaptation.
Key capabilities
- Custom-built, transformer AI model
- Transparency with confidence, evidence, and counterfactual support
- Integrates all data (faxes to FHIR)
- FHIR first for native EHR integrations
- Transformer tech for maximum impact with dirty data
- HIE integrations for incomplete patient data sets
- v28 Out-of-the-Box for HCC codeset changes
- AI-driven reasoning across all data types (structured and unstructured)
- Whole-patient record building
- Audit-ready with source-linked evidence
- Functions as a 'HIE of HIEs'
- Fast implementation (days, not months)
- Pulls in faxes, consults, PDFs, scanned notes
- Unified view for patient records
- Scalable from single EHR to national data streams
- Global recapture of missed HCCs
- Automated ingestion for chart review
- Surfaces insights into clinician workflows
- Navigator + Prep Support for chart review
- Clean handoffs between reviewers and clinicians
- Trusted insights with highlightable sources
- Feedback loop for tracking actions and training opportunities
- Embedded clinical decision support in workflow
- Predictive signals for rising risk
- Clinician-friendly actionable insights
Use cases
- Risk adjustment for Medicare & Medicaid lives
- Uncovering risk adjustment opportunities
- Clinical decision support
- Pre-visit planning
- HCC coding workflow
- RAF score capture
- Comprehensive patient record capture
- Audit-ready HCC coding
- Chart review automation
- Improving clinician workflows
- Navigating CMS-HCC V28
AI approach
Keebler Health is an AI-first risk adjustment platform that uses a custom-built, transformer AI model to uncover risk adjustment opportunities. It applies clinical reasoning across all data types, structured and unstructured, to build a whole-patient record and generate RAF scores. The AI provides transparency with confidence evidence and counterfactual support. It goes beyond machine learning with a 'reasoning layer' and is designed to integrate various data sources, including 'dirty data', and adapt to new codesets like v28.
Tech named: transformer AI model, Next-generation AI transformer, reasoning layer
Industries served
- Hospitals and Health Care
What it says sets it apart
- AI-first platform
- Custom-built transformer AI model
- Uncovers risk adjustment opportunities with minimal encounter data
- High transparency, confidence, evidence, and counterfactual support
- Integrates all data types, including faxes and FHIR
- Transformer tech handles dirty data effectively
- Functions as a 'HIE of HIEs' for comprehensive record capture
- Fast implementation (days, not months)
- Audit-ready with source-linked evidence for every capture
- Goes beyond machine learning with a reasoning layer
- Automates chart review and surfaces insights directly into clinician workflows
- Provides predictive signals and whole-patient context for clinical decision support
Funding rounds we track
Freestyle Capital, MBX Capital, New Stack Ventures, Underdog Labs, Everywhere VC, Ludlow Ventures, Primordial, the Tweener Fund, the Hustle Fund, Tweener Fund, Hustle Fund
From the AI funding tracker — rounds as reported by the linked publications.
This profile was compiled from Keebler Health's own public pages in July 2026 and reflects what the company states about itself — not an endorsement or an independent audit of those claims. Facts are extracted with AI and filtered by an automated check that drops any named product, customer or certification missing from the source pages. Full method. Something out of date? Tell us.