Mendel is an AI platform that combines large language models with a clinical hypergraph to enable physician-level cognitive reasoning for analyzing structured and unstructured clinical data. It enhances clinical data workflows by providing accurate cohort retrieval and chart review, ensuring outputs are explainable and grounded in a coherent patient journey.
Funding
$78.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
OHFounders
Product
Problem
Analyzing clinical data from disparate structured and unstructured sources is challenging, often requiring extensive manual chart review and custom cohort retrieval processes. Existing solutions may lack the ability to provide explainable results grounded in a coherent patient journey, leading to distrust and hindering clinical decision-making.
Solution
Mendel provides an AI platform that combines large language models with a clinical hypergraph to enable physician-level cognitive reasoning for analyzing structured and unstructured clinical data. The platform enhances clinical data workflows by providing accurate cohort retrieval, comprehensive chart review, and longitudinal patient journey analysis. Mendel's AI agents deliver outputs that are explainable and grounded in supporting evidence, ensuring transparency and trust in the results. The platform's reasoning capabilities outperform traditional LLM-only or RAG approaches, providing reliable insights for clinical decision support, research, and data commercialization.
Target Audience
Mendel's platform is designed for biopharmaceutical companies, healthcare providers, and diagnostic firms seeking to streamline clinical data workflows, improve patient outcomes, and accelerate research.
Features
- **Hypercube Copilots:** A suite of AI agents tailored for specific clinical data workflows, including cohort retrieval, chart review, and data redaction.
- **Clinical Hypergraph:** A proprietary knowledge graph that integrates structured and unstructured data sources to provide a comprehensive view of patient information.
- **Explainable AI:** Outputs are grounded against the clinical hypergraph, providing supporting evidence and ensuring 100% explainability.
- **Longitudinal Perspective:** Consolidates data from diverse sources to create a coherent patient journey, enabling analysis of trends and patterns over time.
- **Data Integration:** Integrates with existing BI, ETL, and data ingestion tools, supporting 50+ connectors and 20+ visualization and SQL tools.
- **Customizable AI Agents:** Allows users to build tailored Hypercube copilots to fit specific data needs and challenges, including EMR to EDC, site identification, and commercial alerts.
- **Data Redaction:** Swiftly de-identifies PHI data from clinical records, ensuring privacy and compliance with certified accuracy.