
Mendel AI is a clinical AI platform that supercharges clinical data workflows by coupling large language models with a proprietary clinical hypergraph. Their mission is to make medicine objective by enabling life sciences to index patient journeys at scale and learn from them in real-time. The platform offers AI copilots called Hypercubes, including Cohort, Charts, Analyst, Build Your Own, and Redact, designed to mimic physician-level cognitive abilities. Mendel claims their clinical reasoning capabilities outperform LLM-only or RAG approaches, providing trustworthy, longitudinal, and explainable answers grounded against a clinical hypergraph. The company was co-founded by a physician and a computer scientist and has invested significant resources in R&D since its inception in 2017. Mendel is the most-funded clinical NLP startup, with over 100 employees and significant backing from blue-chip investors like Oak HC/FT and DCM.

Mendel AI is a clinical AI platform that supercharges clinical data workflows by coupling large language models with a proprietary clinical hypergraph. Their mission is to make medicine objective by enabling life sciences to index patient journeys at scale and learn from them in real-time. The platform offers AI copilots called Hypercubes, including Cohort, Charts, Analyst, Build Your Own, and Redact, designed to mimic physician-level cognitive abilities. Mendel claims their clinical reasoning capabilities outperform LLM-only or RAG approaches, providing trustworthy, longitudinal, and explainable answers grounded against a clinical hypergraph. The company was co-founded by a physician and a computer scientist and has invested significant resources in R&D since its inception in 2017. Mendel is the most-funded clinical NLP startup, with over 100 employees and significant backing from blue-chip investors like Oak HC/FT and DCM.
What they do: Clinical AI platform (Hypercube copilots) that couples large language models with a proprietary clinical hypergraph to reason over structured and unstructured health data.
Mission: “Make medicine objective” — enable explainable, clinician-level reasoning across clinical data workflows.
Founding / HQ: Founded 2017; headquartered in San Jose, California.
Core use cases: Cohort identification/trial matching, chart review/abstraction, de-identification/redaction, real-world evidence analysis.
Funding (selected rounds): Seed $2M (Jul 2017); Series A $18M (Jun 2021); Series B $40M (Apr 2022 reported).
Notable investors: DCM, Oak HC/FT (among others such as Olive Tree Capital, Millennium, SOSV, LaunchCapital, BootstrapLabs).
Clinical data workflows and clinical NLP across electronic medical records, clinical documents, and other real-world health data to support research and life-sciences workflows.
2017
Clinical AI; Healthcare / Life Sciences
$2M
Reported investors: DCM Ventures, Bootstrap Labs, Launch Capital.
$18M
Participants reported to include Olive Tree Capital, Zola Global, MTVLP, and prior backers such as LaunchCapital and BootstrapLabs.
$40M
Dealroom reports an Apr 2022 $40.0M round with investors including DCM and Oak HC/FT.
“Backed by established investors including DCM and Oak HC/FT, with additional participation reported from Olive Tree Capital, Millennium Technology Value Partners, SOSV, LaunchCapital, and BootstrapLabs.”