Products

Mendel.ai
Mendel.ai
Clinical Decision Support & Reference
Mendel.ai uses Neuro-Symbolic AI to sort patient cohorts from EHRs for clinical trial matching, accelerating research.

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About Mendel.ai

Mendel.ai is a healthcare AI company that develops an advanced clinical AI platform designed to transform unstructured health data into actionable insights for life sciences and healthcare organizations. The company’s core product utilizes large language models combined with a proprietary clinical hypergraph to achieve scalable clinical reasoning, ensuring high explainability and accuracy. This technology aims to streamline complex clinical data workflows, enhancing capabilities for personalized patient care and efficient clinical trial processes.

For physicians, Mendel.ai’s platform acts as a sophisticated assistant for deciphering patient journeys, overcoming limitations of traditional healthcare technology that often impede deep clinical inquiry and objective medical decision-making. The AI system is built to understand medicine like a physician, extracting, structuring, and analyzing complex clinical data from various sources such as electronic medical records (EMRs) and clinical literature. This enables more efficient research, drug development, and clinical operations by automating tasks like cohort identification, patient matching, and trial prescreening, while ensuring 100% explainability of outcomes and eliminating AI hallucinations.

Focus Areas

Clinical data abstraction Clinical record OCR PHI de-identification Clinical search engine Clinical trial matching Clinical data assets Oncology research Real-world data Generative AI for healthcare

Business Intelligence

Key InvestorsOak HC/FT, DCM, OliveTree, Zola Global, MTVLP, Launch Capital, SOSV, BootstrapLabs, Base10 Partners, PayPal Ventures, Infinity Ventures, Industry Ventures, Hi.vc, Endeavor Catalyst, Advisors.Fund, BECO Capital
PartnershipsUniversity of Pennsylvania, Cornell University, AWS, Google Cloud, Snowflake, Databricks, NVIDIA
Acquisitionsunknown
TechnologyProprietary Clinical Hypergraph and Neuro-Symbolic AI, Large Language Models (LLMs), Optical Character Recognition (OCR), Named Entity Recognition, Machine Learning, Hypercube platform, AWS, Google Cloud, Databricks, Snowflake

What Physicians Need to Know

Clinical Data Abstraction & OCR
Mendel.ai's platform integrates structured and unstructured data from electronic medical records (EMRs) into a single comprehensive record using advanced technologies like optical character recognition (OCR), named entity recognition, and machine learning. [7] Their AI system can abstract data 27,000 times faster than manual methods. [8] This streamlines data processing, improves accuracy, and reduces costs. [7]
PHI De-identification
Mendel.ai offers a proprietary AI engine called 'De-ID' designed to effectively mask Protected Health Information (PHI) in unstructured clinical data with 99% or higher accuracy. [15] This process is verified by HIPAA experts to ensure compliance with regulations. [15]
Clinical Search Engine & Data Assets
Mendel.ai's core product, Hypercube, is an AI co-pilot that allows life sciences and healthcare enterprises to query their patient data using natural language. [10] It transforms unstructured health data into actionable insights, creating comprehensive patient journeys and reconciling conflicting information. [1, 2]
Clinical Trial Matching & Oncology Research
Mendel.ai accelerates clinical trial recruitment by identifying eligible patients faster. [13] Their Neuro-Symbolic system has shown to outperform models like GPT-4 in sorting patient cohorts from EMRs. [3, 4] A study with the University of Pennsylvania demonstrated that human-AI teams using Mendel.ai's software achieved more accurate and quicker pre-screening of oncology patients for clinical trials. [9]
Real-World Data & Generative AI for Healthcare
Mendel.ai leverages generative AI models to learn complex patterns and relationships within patient data. [1] They utilize a clinical hypergraph, a multi-dimensional knowledge graph, to ensure explainability and consistency in AI outputs. [1] Their Neuro-Symbolic Reasoning System is built specifically for clinical data workflows and analytics, coupling large language models with this clinical knowledge hypergraph. [1]
Physician Tip

Mendel.ai's Hypercube platform offers a chat interface that allows physicians to interact with patient data using natural language, making chart reviews, pre-authorizations, and trial matching more efficient (30%+ more efficient for chart reviews). [1, 5, 13] The system provides 100% explainability, meaning physicians can understand how the AI arrived at its conclusions, fostering trust and aiding in regulatory compliance. [2] This technology aims to provide a comprehensive, accurate, and insightful view of a patient's medical journey, empowering clinicians with data-driven insights while preserving physician expertise. [1]

Mendel.ai partners with cloud providers like Google Cloud and Amazon Web Services (AWS) for scalable infrastructure and model development. [1, 5] They also leverage open-source models like Llama to create tailored AI solutions for specific fields. [12] Their platform is designed to integrate structured and unstructured data from various systems, including electronic medical records (EMRs). [6, 7]

Products by Mendel.ai

1 product in the directory

Mendel.ai
Mendel.ai
Clinical Decision Support & Reference
Mendel.ai uses Neuro-Symbolic AI to sort patient cohorts from EHRs for clinical trial matching, accelerating research.

What the Web Says

Mendel.ai is a clinical AI platform that utilizes novel AI and clinical expertise to streamline oncology research by organizing real-world data and automating clinical trials. The company's flagship product, Hypercube, is an AI co-pilot designed to improve the speed and accuracy of pre-screening oncology patients for clinical trials and assist with clinical data abstraction, chart review, and patient cohort analysis. Mendel.ai aims to overcome the limitations of traditional healthcare technologies by providing AI models that can reason and understand the semantics of medical records, ensuring explainability and consistency in AI outputs. While product reviews highlight its effectiveness in accelerating clinical data workflows and improving efficiency, employer reviews on platforms like Indeed.com indicate significant concerns regarding company culture, management, and job security.

Overall: Mixed

Strengths

  • More precise and affordable redaction service compared to alternatives.
  • Improved operational efficiency and significant time savings in finding suitable trials for patients.
  • Enhanced accuracy and timeliness in clinical data extraction for cancer data.
  • Ability to integrate with various EMR systems while maintaining data privacy.
  • AI models can reason and understand medical record semantics, providing explainable and consistent outputs.
  • Hypercube allows for faster chart reviews (30% faster for nurses) and 10x faster querying for analysts.

Limitations

  • Micromanagement and lack of transparency towards employees.
  • Limited employee autonomy in technology choices.
  • Toxic company culture with confusing feedback and little collaboration.
  • High stress environment with frequent overtime work.
  • Unjustified layoffs and constant employee rotation.
  • Lack of structure in sales, with unrealistic expectations from upper management.

Based on reviews from: FeaturedCustomers, Medical Device Network, Google Cloud, Indeed.com, AWS, Mendel.ai (LinkedIn), G2, Meta AI, Built In San Francisco

Last updated: 2026-09-06

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Press & Coverage

Fierce Healthcare
Clinical AI platform Mendel nets $40M series B to power real-world data research
Mendel, an artificial intelligence startup, secured $40 million in Series B funding to advance its real-world data platform, which uses AI and natural language processing to analyze medical data for research. The funding will be used to expand AI and engineering teams, scale commercial operations, and launch a new product called Resolve.
2022-04
PR Newswire
Mendel Raises $40 Million Series B Round to Expand its Team and Grow Product Offering
Mendel, a clinical artificial intelligence and natural language processing platform, announced a $40 million Series B funding round to expand its team and product offerings. This investment will support the company's mission to enhance clinical AI solutions.
2022-04
Business Wire
Mendel AI Joins NVIDIA Inception Program to Accelerate AI Innovations in Life Sciences
Mendel AI has joined the NVIDIA Inception program, gaining access to NVIDIA's advanced technology and expertise to accelerate its AI innovations in life sciences. This collaboration aims to enhance Mendel's Hypercube AI solution and bring sophisticated AI to healthcare.
2024-07
Business Wire
Mendel Unveils Groundbreaking Neuro-Symbolic AI System Outperforming GPT-4 for Automatic Cohort Retrieval in New Study
Mendel announced new research demonstrating its Neuro-Symbolic AI system's superior performance over GPT-4 in automatic patient cohort retrieval from electronic medical records. This breakthrough highlights the potential of integrating expert knowledge with large language models in healthcare.
2024-07
PR Newswire
Mendel Announces Collaboration with Snowflake and launches Hypercube, a Snowflake Native App
Mendel AI has partnered with Snowflake to make its Hypercube Reasoning-Ready Product Suite available natively in the Snowflake AI Data Cloud. This collaboration aims to transform fragmented data into meaningful clinical insights for healthcare organizations.
2024-09
PR Newswire
Mendel AI Launches Hypercube Platform Powered by AWS
Mendel AI launched its Hypercube Platform, powered by Amazon Web Services (AWS), to enhance clinical artificial intelligence capabilities. This platform aims to decipher clinical data with clinician-like logic and enable natural language interaction with patient data.
2024-09
Medical Device Network
Mendel.ai software aims to save nurses time in pre-screening
A study by Mendel.ai and the University of Pennsylvania showed that Mendel.ai's AI software improved the accuracy and speed of pre-screening oncology patients for clinical trials. The results, presented at ASCO 2024, indicated that human-AI teams were more efficient than humans alone.
2024-06
Meta AI
Dramatically accelerating patient-matching in clinical trials with open source - Meta AI
Mendel AI is leveraging open-source AI models like Llama to dramatically accelerate patient-matching in clinical trials, reducing the process from hundreds of days to just one. Their Hypercube product, combining Llama with a clinical hypergraph, allows for natural language querying of patient data.
2025-02

Frequently Asked Questions

Mendel.ai automates the abstraction of clinical data from unstructured medical records, transforming it into a structured, computable format. This significantly reduces the manual burden on physicians and administrators, accelerates oncology research by providing readily accessible real-world data, and enhances the efficiency of tasks like clinical trial matching and cohort building.
Mendel.ai utilizes advanced AI and machine learning for its Clinical Record OCR, aiming for high accuracy in extracting information. For PHI de-identification, the company employs robust techniques to remove or mask protected health information, adhering to strict compliance standards like HIPAA, ensuring patient privacy and data security.
Mendel.ai's Clinical Search Engine allows users to query and analyze vast amounts of de-identified clinical data, facilitating real-world data studies and generating insights for various research purposes. Its capabilities extend to precisely matching patients with eligible clinical trials by analyzing their comprehensive medical history against trial criteria, significantly streamlining the recruitment process.
While specific pricing details are typically provided upon consultation, Mendel.ai generally offers flexible models tailored to the scale and specific needs of healthcare organizations. They provide comprehensive support, including implementation assistance, training, and ongoing technical support to ensure seamless integration and optimal utilization of their platforms.
Mendel.ai utilizes Generative AI to enhance its capabilities, such as generating synthetic data for research or improving the accuracy of data abstraction. The company is committed to ethical AI practices, implementing safeguards to prevent bias, ensure data privacy, and maintain transparency in how its AI models are developed and deployed.
Mendel.ai has established partnerships with leading healthcare institutions, pharmaceutical companies, and technology providers. These collaborations enable Mendel.ai to expand its data assets, integrate with existing healthcare IT systems, validate its AI models with real-world clinical data, and broaden the reach and impact of its solutions across the healthcare ecosystem.
Mendel.ai is a well-funded and rapidly growing company with a strong vision to revolutionize oncology research and clinical data utilization. Their long-term strategy involves continuously enhancing their AI platform, expanding their clinical data assets, and forging new partnerships to accelerate drug discovery, improve patient outcomes, and contribute significantly to the future of healthcare.

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