Our customers can answer prior authorization (PA) questions in seconds, not weeks, combining unmatched speed with clinically reliable decisions — proven to deliver 10–20% higher accuracy across 15 medical specialties and succeed on the most complex cases where traditional approaches often fail.
High accuracy, explainability, auditability, and privacy—by design.
A Knowledge Graph‑based repository of coverage criteria and care‑pathway guidelines enables precise, explainable decisions.
Interface to access and represent medical records for Knowledge Graph analysis, ensuring full clinical context.
≈32B parameter models with superior domain accuracy. Private by default— optionally run in‑house for data security.
Experienced clinicians, payers, and AI experts building towards Medical Super Intelligence.
The team is made up of experienced clinicians, medical researchers, payers, and AI experts. Led by business professionals who have previously built billion‑dollar companies and helped put Medicare on the Internet, we bring deep expertise across clinical practice, health plan operations, and large‑scale AI systems.
We pair rigorous clinical governance with privacy‑by‑design engineering and enterprise reliability—delivering secure, compliant solutions that create measurable value for providers and payers alike.
Former Neurological Surgeon, and Senior Medical Director at UnitedHealthcare as an expert in prior authorization.
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Founder and CEO of multiple health tech companies, including Ability Networks, which sold for 1.2 Billion USD. Proven track record of building large health care solutions that change healthcare for the better.
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Former Lead Systems Architect at Wells Fargo. At Wells Fargo Bank, the 3rd largest US Bank, his roles included developer, technology manager, and enterprise architect.
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Graduate of Epidemic Intelligence Service, Centers for Disease Control and Prevention. Founder of the Center for Worker Health and Safety, Minnesota Department of Health. Occupational medicine clinician. Former Senior Researcher, HealthPartners Institute, Minneapolis, MN.
LinkedInThe same infrastructure supports additional high‑value use cases.
Match patients to protocols using structured criteria and longitudinal context.
Automate guideline checks for evidence‑based and covered care decisions.
Forecast disease and cost progression for proactive interventions.
Support payers with automated decision making and expense forecasting.
Evidence summaries at the point of care to reduce administrative friction.
Automate public health reporting of acute and chronic diseases for immediate outbreak analysis and remediation.
Can’t find what you’re looking for? Reach out below.
We offer HIPAA-friendly deployments and will sign BAAs for eligible plans.
Yes—bring your own models or use our optimized stack depending on your needs. In fact, we encourage AI to AI collaboration understanding that medical intelligence will come from many clinicians and researchers.
Your data is encrypted in transit and at rest. You control data retention and access.
Epic and Oracle Health (Cerner & their new AI EHR) integration are in active development. We support standards-based connections (FHIR/HL7) and custom APIs for other EHRs, including MCP. Contact us to discuss your environment and how we could collaborate on next-generation AI solutions.
Super Intelligence exists when AI can self improve. We deliver this for different medical arenas, working collaboratively with clinical and research teams. We intend to unleash these compact yet powerful reasoning engines across multiple specialties for rapid learning, leaving behind the hard-coded, complex technologies of the past. This allows rapidly growing AI -to- AI analyses providing the ultimate in patient care.
Our technology can be delivered directly from our private cloud, or installed in your datacenters for maximum privacy. We also encourage collaborations with customer's own AI solutions using standard AI to AI protocols, including MCP. In AI, MCP stands for Model Context Protocol. It's an open standard and open-source framework standardizing how AI systems interact.