January Mirror makes science-validated interconnections between health data, making it safe and reliable for LLMs to use.
AI models like GPT-4o, Gemini, and Claude are powerful—but dangerously unreliable in healthcare. They struggle to interpret complex, longitudinal health data, often hallucinate facts, and lack clinical understanding.
With Mirror, LLMs gain medical-grade context and precision. Mirror understands health data through medical ontologies, filters out hallucinations with science-grounded facts, and powers safe, personalized health recommendations.
Context-Aware Recommendations
Uncover links between conditions that are often siloed.
Connected Health Insights
Personalized nutrition, fitness, and sleep guidance for every profile.
Personalized Lifestyle Protocols
Step-by-step care plans show which doctors to see and when.
A True Health Roadmap
Turn fragmented data into a clear guide for daily and long-term health.
Mirror isn’t just a data layer. It’s a foundation for creating personalized health applications, including consumer apps, reports, chatbots, patient and clinician dashboards, and so much more.
Upload fragmented health data-labs, wearables, genomics, medications, lifestyle logs, and more-securely and easily.
Mirror combines graph neural networks with clinical rules to reveal correlations and causal patterns in a connected health graph.
Mirror makes its insights accessible to any health AI agent, enabling safe, personalized recommendations.
Deliver personalized, clinically grounded insights often missed by other systems to care teams or directly to users.
Partner with January to build co-pilots, dashboards, and reports tailored to your health application.