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Unlock Clinical Insights for Healthcare Providers | Mendel AI
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quick-stack-24 wf-layout-layout"><div class="w-layout-cell"><a href="/company/about" class="menu-sublink new new-menu-sublink w-inline-block"><div class="menu-product-name">About</div></a><a href="/company/careers" class="menu-sublink new new-menu-sublink w-inline-block"><div class="menu-product-name">Careers</div></a><a href="/company/press" class="menu-sublink new new-menu-sublink w-inline-block"><div class="menu-product-name">Press</div></a></div><div class="w-layout-cell"></div></div></div></div></nav></div></li></ul></li><li class="list-item-4"><a href="/get-started" class="home-hero-demo-button hypercube-hero-demo-button white-nav-demo-button w-button">Get STarted</a></li></ul></nav><a href="/" class="nav-logo-link-copy link-block-6 w-inline-block"><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/66a2a1337c3361de08af3d46_Mendel%20Logo-Gold.svg" alt="" class="nav-logo"/></a><div class="menu-button w-nav-button"><div class="icon w-icon-nav-menu"></div></div></div></figure><section class="providers-header"><div class="w-layout-blockcontainer container-left-aligned w-container"><div class="div-block-176"><h5 class="h5-left-aligned">Mendel for Providers</h5><h1 class="heading-121"><span class="text-span-73">Supercharge</span> your clinical data workflows</h1></div></div></section><section class="what-mendel-does-section"><div class="w-layout-blockcontainer container-centered w-container"><div class="div-block-252"><h2 class="heading-143">Mendel helps physicians and care coordinators to chat with the structured and unstructured EMR data with an AI that mimics a physician’s understanding of precision medicine</h2></div></div></section><section class="providers-use-cases-section"><div class="w-layout-blockcontainer container-centered w-container"><div class="div-block-177"><h2>AI could <span class="text-span-77">revolutionize</span> how health systems use data</h2></div><div class="div-three-columns real-results"><div id="w-node-_4adaa62a-61d9-53bb-8526-cdcb98f9eb46-8becdd04" class="w-layout-layout quick-stack-0-gap real-results wf-layout-layout"><div id="w-node-_4adaa62a-61d9-53bb-8526-cdcb98f9eb47-8becdd04" class="w-layout-cell cell-centered-top"><div><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/66676072a4d3bbeb04e2dc3b_prior-auth.svg" loading="lazy" alt="UI screen with a checkmark to represent prior-authorization." class="img-150px"/><div class="text-block-h4">Prior-Authorization</div></div></div><div id="w-node-_4adaa62a-61d9-53bb-8526-cdcb98f9eb48-8becdd04" class="w-layout-cell cell-centered-top left-stroke stacked"><div><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/66676072adc03210f95fe3a3_chart-review.svg" loading="lazy" alt="Chart icon in the process of being scanned/reviewed." class="img-150px"/><div class="text-block-h4">Chart Review</div></div></div><div id="w-node-c2c6bfd6-fc26-5bc4-b1eb-221af41f5668-8becdd04" class="w-layout-cell cell-centered-top left-stroke stacked"><div><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/666760724f0beed4c6d2c24a_clinical-trial.svg" loading="lazy" alt="Patient data in a magnifying glass to represent "Clinical Trial Matching"" class="img-150px"/><div class="text-block-h4">Clinical Trial Matching</div></div></div></div></div></div></section><section class="provider-benefits-section"><div class="w-layout-blockcontainer container-centered w-container"><div class="div-block-178"><h2 class="h2-black">How <span class="text-span-78">health systems</span> benefit from Mendel</h2></div><div class="div-three-columns real-results"><div id="w-node-_50e6bd22-505c-f2d2-4c4d-c7ae6f686ffa-8becdd04" class="w-layout-layout quick-stack-0-gap real-results wf-layout-layout"><div id="w-node-_50e6bd22-505c-f2d2-4c4d-c7ae6f686ffb-8becdd04" class="w-layout-cell cell-centered-top stacked"><div class="div-block-218"><h3 class="h3-black centered">Trial Matching</h3><div class="text-block-68">Find patients from your system who match the inclusion and exclusion criteria of trials being recruited for.</div></div></div><div id="w-node-_50e6bd22-505c-f2d2-4c4d-c7ae6f686ffc-8becdd04" class="w-layout-cell cell-centered-top left-stroke-2 stacked"><div class="div-block-218"><h3 class="h3-black centered">Prior-Authorization</h3><div class="text-block-68">Analyze patient data and determine the medical necessity by considering the patient’s complete history and applicable guidelines.</div></div></div><div id="w-node-a8cf17e2-29c4-1ad1-fad7-712cef4b2c52-8becdd04" class="w-layout-cell cell-centered-top left-stroke-2 stacked"><div class="div-block-218"><h3 class="h3-black centered">Chart Review & Guideline Matching</h3><div class="text-block-68">Analyze patient data to see what they are indicated for and analyze guidelines adherence.</div></div></div></div></div><div class="home-page-section-button-wrapper"><a href="/contact" class="contact-sales-button black w-inline-block"><div class="text-block-h5-16px black">Contact Sales</div></a></div><a href="/get-started" class="button-6 w-button">Get StarteD</a></div></section><section class="clinical-workflows-section"><div class="w-layout-blockcontainer container-centered w-container"><div><div class="text-block-h5-16px">Enhancing clinical workflows with Hypercube</div></div><div id="w-node-_82af06e4-6df8-22f8-113a-a4115e182d45-8becdd04" class="div-block-130"><div id="w-node-_82af06e4-6df8-22f8-113a-a4115e182d46-8becdd04" class="w-layout-layout quick-stack-5 wf-layout-layout"><div id="w-node-_82af06e4-6df8-22f8-113a-a4115e182d47-8becdd04" class="w-layout-cell cell-14"><div class="div-block-129"><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6660db01707f912094350e58_icon-LLM-white.svg" loading="lazy" width="73" alt="LLM icon" class="img-60px"/><h3 class="h3-left-aligned">Trial Matching</h3><p class="p-left-aligned">Mendel's distinct low-code/no-code capabilities and comprehensive data consolidation empower effortless, precise cohort creation for everyone in the network. The comprehensiveness of the underlying Hypergraph aligning with the increasing modern precision medicine demands.</p></div></div><div id="w-node-_82af06e4-6df8-22f8-113a-a4115e182d4e-8becdd04" class="w-layout-cell cell-18"><div class="div-block-129"><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/666501d1d7499d48daf544f8_screen-checkmark-white.svg" loading="lazy" alt="Approved icon" class="img-60px"/><h3 class="h3-left-aligned">Prior-authorization</h3><p class="p-left-aligned">Mendel's AI-powered prior-authorization solution leverages the Hypergraph to analyze patient data and determine the medical necessity of treatments, procedures, and medications. By considering the patient's complete history and applicable guidelines, Mendel streamlines the prior-authorization process, reducing administrative burden and ensuring patients receive timely access to appropriate care.</p></div></div></div></div><div class="div-block-129-copy"><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6660db0199cdd6084e70fed2_icon-document-checkmark-white.svg" loading="lazy" alt="Explainability icon" class="img-60px"/><h3 class="h3-left-aligned">100% Explainable</h3><p class="p-left-aligned">Mendel's Hypergraph is designed to provide answers you can trust in a clinical setting. By leveraging a combination of machine learning and expert-curated knowledge, Mendel ensures that the insights generated are accurate, contextually relevant, and grounded in scientific evidence.<br/><br/>Every answer is linked to the support evidence from the original patient record tied to the results so that you can verify all responses.</p></div></div></section><section class="treatment-guidelines-section"><div class="w-layout-blockcontainer container-centered w-container"><div class="div-block-179"><h2>Treatment Guidelines</h2><div class="text-block-69">Mendel's Hypergraph incorporates the latest treatment guidelines and protocols, enabling healthcare providers to make evidence-based decisions. By cross-referencing patient data with these guidelines, Mendel can suggest personalized treatment plans, identify potential contraindications, and alert providers to any deviations from best practices, ultimately improving the quality and consistency of care.</div></div><div class="div-block-217"><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/669e936a9a16b48d69271e0b_guidelines.png" loading="lazy" width="1200" sizes="(max-width: 479px) 82vw, (max-width: 767px) 85vw, (max-width: 991px) 96vw, 100vw" alt="Product skin of Treatment Guidelines. Summary and Description is shown on the left while the Treatment Plan is shown on the right." srcset="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/669e936a9a16b48d69271e0b_guidelines-p-500.png 500w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/669e936a9a16b48d69271e0b_guidelines-p-800.png 800w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/669e936a9a16b48d69271e0b_guidelines-p-1080.png 1080w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/669e936a9a16b48d69271e0b_guidelines-p-1600.png 1600w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/669e936a9a16b48d69271e0b_guidelines-p-2000.png 2000w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/669e936a9a16b48d69271e0b_guidelines.png 2400w" class="img-full-width"/></div></div></section><section class="real-results-section"><div class="w-layout-blockcontainer container-centered w-container"><div class="div-block-137"><div class="text-block-h5-16px black">Real Results</div><h2 class="heading-70">Enhancing Clinical Precision & Efficiency with<strong> Human + AI</strong> Collaboration</h2></div><div class="div-three-columns real-results"><div id="w-node-cf1e2f52-e09d-af10-2be3-59393330fea2-8becdd04" class="w-layout-layout quick-stack-15 real-results wf-layout-layout"><div id="w-node-cf1e2f52-e09d-af10-2be3-59393330fea3-8becdd04" class="w-layout-cell cell-centered-top real-results"><div><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6664d67bfbbac53d572e17c2_speed.svg" loading="lazy" width="69" alt="Speed icon" class="image-132"/><div class="text-block-30">+30%</div><div class="text-block-31">Increase in Speed of Chart Review</div></div></div><div id="w-node-cf1e2f52-e09d-af10-2be3-59393330fea9-8becdd04" class="w-layout-cell cell-centered-top left-stroke-2 real-results"><div><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6667444973ae0f848413323f_chart-accuracy.svg" loading="lazy" width="69" alt="Chart-level accuracy increasing icon" class="image-132"/><div class="text-block-30">95%</div><div class="text-block-31">Chart-Level Accuracy in Biomarker Testing</div></div></div><div id="w-node-cf1e2f52-e09d-af10-2be3-59393330feaf-8becdd04" class="w-layout-cell cell-centered-top left-stroke-2 real-results"><div><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/666744499e58575880018451_accuracy.svg" loading="lazy" width="69" alt="Accuracy/precision icon" class="image-132"/><div class="text-block-30">+24-50%</div><div class="text-block-31">Increase in Number of Patients Accurately Identified as Potentially Eligible</div></div></div></div></div><a data-w-id="cf1e2f52-e09d-af10-2be3-59393330feb5" href="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/66687ad5ae09982c26ba6913_UPenn%20Abstract.pdf" target="_blank" class="black-underline-btn w-inline-block"><div data-w-id="cf1e2f52-e09d-af10-2be3-59393330feb6" class="div-block-226"><h5 class="heading-52">view White Paper</h5><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/66510ccacccba4f1c6f6b5a5_right-arrow-black.svg" loading="lazy" alt="" class="integrations-arrow"/></div><div style="-webkit-transform:translate3d(-100%, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0);-moz-transform:translate3d(-100%, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0);-ms-transform:translate3d(-100%, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0);transform:translate3d(-100%, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0)" class="div-block-227"></div></a></div></section><section class="pricing-chart-section"><div class="w-layout-blockcontainer container-centered w-container"><div><h5>Pricing</h5><h2><span class="text-span-76">Copilots</span> Catered To You</h2></div><div class="div-pricing-table"><div id="w-node-_49519cd4-d413-23e3-8678-afa6d8053eb7-d8053ead" class="w-layout-layout quick-stack-21 wf-layout-layout"><div id="w-node-_49519cd4-d413-23e3-8678-afa6d8053eb8-d8053ead" class="w-layout-cell cell-centered-top pricing"><div class="div-block-212"><div class="div-block-174"><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6660dd2fb01f901eb06c8484_icon-hypercube-cohort.svg" loading="lazy" alt="" class="img-100px"/><h3 class="h3-pricing">Hypercube Cohort</h3></div><div><h5 class="_80-opacity">Good For</h5><div class="text-block-67">Anyone with a terminal: Infrastructure, data engineering, bioinformatics, data science, etc.</div></div><div class="div-short-line"></div><div><h5 class="_80-opacity">Data Type</h5><div class="text-block-67">Structured or unstructured</div></div><div class="div-short-line"></div><div><h5 class="_80-opacity">Core Features</h5><div class="text-block-67">Enables semantic reasoning</div></div><div class="div-learn-more"><div class="div-long-line"></div><h5 class="_80-opacity">Pricing</h5><a data-w-id="79d0c307-da6f-e33d-b281-418c615784c1" href="/product/compare-products" class="link-block-10 w-inline-block"><div data-w-id="79d0c307-da6f-e33d-b281-418c615784c2" class="div-block-221"><div class="text-block-h5-16px">Contact Sales</div><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6626b739c552bf21db2657a6_right-arrow.svg" loading="lazy" alt="" class="home-right-arrow"/></div><div class="div-block-223"></div></a><div class="div-long-line"></div><a href="/product/hypercube-cohort" class="ruby-learn-more-btn w-button">Learn More</a></div></div></div><div id="w-node-_49519cd4-d413-23e3-8678-afa6d8053edb-d8053ead" class="w-layout-cell cell-centered-top pricing"><div class="div-block-212"><div class="div-block-174"><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6660dd2f4e9137c1e3270cc7_icon-hypercube-charts.svg" loading="lazy" alt="" class="img-100px"/><h3 class="h3-pricing">Hypercube Charts</h3></div><div><h5 class="_80-opacity">Good For</h5><div class="text-block-67">Anyone who doesn’t enjoy code: Sales and marketing, R&D, medical affairs</div></div><div class="div-short-line"></div><div><h5 class="_80-opacity">Data Type</h5><div class="text-block-67">Structured or unstructured</div></div><div class="div-short-line"></div><div><h5 class="_80-opacity">Core Features</h5><div class="text-block-67">No code querying with both semantic and temporal reasoning</div></div><div class="div-learn-more"><div class="div-long-line"></div><h5 class="_80-opacity">Pricing</h5><a data-w-id="79d0c307-da6f-e33d-b281-418c615784c1" href="/product/compare-products" class="link-block-10 w-inline-block"><div data-w-id="79d0c307-da6f-e33d-b281-418c615784c2" class="div-block-221"><div class="text-block-h5-16px">Contact Sales</div><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6626b739c552bf21db2657a6_right-arrow.svg" loading="lazy" alt="" class="home-right-arrow"/></div><div class="div-block-223"></div></a><div class="div-long-line"></div><a href="/product/hypercube-charts" class="turquoise-learn-more-btn w-button">Learn More</a></div></div></div><div id="w-node-_49519cd4-d413-23e3-8678-afa6d8053efe-d8053ead" class="w-layout-cell cell-centered-top pricing"><div class="div-block-212"><div class="div-block-174"><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6660dd2f390513c849007c29_icon-hypercube-analyst.svg" loading="lazy" alt="" class="img-100px"/><h3 class="h3-pricing">Hypercube Analyst</h3></div><div><h5 class="_80-opacity">Good For</h5><div class="text-block-67">Anyone with a terminal: Infrastructure, data engineering, bioinformatics, data science, etc.</div></div><div class="div-short-line"></div><div><h5 class="_80-opacity">Data Type</h5><div class="text-block-67">Structured or unstructured</div></div><div class="div-short-line"></div><div><h5 class="_80-opacity">Core Features</h5><div class="text-block-67">Enables semantic and temporal reasoning</div></div><div class="div-learn-more"><div class="div-long-line"></div><h5 class="_80-opacity">Pricing</h5><a data-w-id="79d0c307-da6f-e33d-b281-418c615784c1" href="/product/compare-products" class="link-block-10 w-inline-block"><div data-w-id="79d0c307-da6f-e33d-b281-418c615784c2" class="div-block-221"><div class="text-block-h5-16px">Contact Sales</div><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6626b739c552bf21db2657a6_right-arrow.svg" loading="lazy" alt="" class="home-right-arrow"/></div><div class="div-block-223"></div></a><div class="div-long-line"></div><a href="/product/hypercube-analyst" class="sapphire-learn-more-btn w-button">Learn More</a></div></div></div><div id="w-node-_49519cd4-d413-23e3-8678-afa6d8053f21-d8053ead" class="w-layout-cell cell-centered-top pricing"><div class="div-block-212"><div class="div-block-174"><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6660dd2ff4cc1ac18a5b4ab5_icon-platform.svg" loading="lazy" alt="" class="img-100px"/><h3 class="h3-pricing">Build Your Own</h3></div><div><h5 class="_80-opacity">Good For</h5><div class="text-block-67">Anyone with a terminal: Infrastructure, data engineering, bioinformatics, data science, etc.</div></div><div class="div-short-line"></div><div><h5 class="_80-opacity">Data Type</h5><div class="text-block-67">LLM agnostic</div></div><div class="div-short-line"></div><div><h5 class="_80-opacity">Core Features</h5><div class="text-block-67">Enables semantic reasoning</div></div><div class="div-learn-more"><div class="div-long-line"></div><h5 class="_80-opacity">Pricing</h5><a data-w-id="79d0c307-da6f-e33d-b281-418c615784c1" href="/product/compare-products" class="link-block-10 w-inline-block"><div data-w-id="79d0c307-da6f-e33d-b281-418c615784c2" class="div-block-221"><div class="text-block-h5-16px">Contact Sales</div><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6626b739c552bf21db2657a6_right-arrow.svg" loading="lazy" alt="" class="home-right-arrow"/></div><div class="div-block-223"></div></a><div class="div-long-line"></div><a href="/product/build-your-own" class="amethyst-learn-more-btn w-button">Learn More</a></div></div></div></div></div><div class="pricing-contact-sales-div"><div class="div-block-245"><h5 class="_80-opacity">Pricing</h5><a data-w-id="79d0c307-da6f-e33d-b281-418c615784c1" href="/contact" class="link-block-10 w-inline-block"><div data-w-id="79d0c307-da6f-e33d-b281-418c615784c2" class="div-block-221"><div class="text-block-h5-16px">Contact Sales</div><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6626b739c552bf21db2657a6_right-arrow.svg" loading="lazy" alt="" class="home-right-arrow"/></div><div class="div-block-223"></div></a></div></div><div id="w-node-_8e4661e3-5341-5f98-650b-c6157f2770e4-d8053ead" class="w-layout-layout quick-stack-learn-more wf-layout-layout"><div id="w-node-_8e4661e3-5341-5f98-650b-c6157f2770e5-d8053ead" class="w-layout-cell cell-centered-top pricing"><div class="div-block-212"><a href="/product/hypercube-cohort" class="button-11-copy w-button">Learn More</a></div></div><div id="w-node-_8e4661e3-5341-5f98-650b-c6157f277109-d8053ead" class="w-layout-cell cell-centered-top pricing"><div class="div-block-212"><a href="/product/hypercube-charts" class="button-12-copy w-button">Learn More</a></div></div><div id="w-node-_8e4661e3-5341-5f98-650b-c6157f27712d-d8053ead" class="w-layout-cell cell-centered-top pricing"><div class="div-block-212"><a href="/product/hypercube-analyst" class="button-13-copy w-button">Learn More</a></div></div><div id="w-node-_8e4661e3-5341-5f98-650b-c6157f277151-d8053ead" class="w-layout-cell cell-centered-top pricing"><div class="div-block-212"><a href="/product/build-your-own" class="button-14-copy w-button">Learn More</a></div></div></div><div id="w-node-f2cf0f77-b11d-5882-8e88-c2d9e725b2bd-d8053ead" class="w-layout-layout quick-stack-10-copy wf-layout-layout"><div id="w-node-f2cf0f77-b11d-5882-8e88-c2d9e725b2be-d8053ead" class="w-layout-cell cell-26"><div class="div-block-146"><div class="w-layout-hflex flex-block-11"><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/66650811b003c7a3a267f107_icon-cohort.svg" loading="lazy" alt="Hypercube Cohort icon" class="img-80px"/><div class="text-block-h6--2 left-aligned">Hypercube Cohort</div></div><div class="text-block-58">Rapid Cohort Building. Across All Your Data. By Everyone.</div></div><a href="/product/hypercube-cohort" class="button-11 w-button">Learn More</a></div><div id="w-node-f2cf0f77-b11d-5882-8e88-c2d9e725b2c7-d8053ead" class="w-layout-cell cell-26"><div class="div-block-146"><div class="w-layout-hflex flex-block-11"><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/66650811469e088219390a01_icon-charts.svg" loading="lazy" alt="Hypercube Charts icon" class="img-80px"/><div class="text-block-h6--2 left-aligned">Hypercube Charts</div></div><div class="text-block-58">AI copilot for chart reviews and abstraction tasks.</div></div><a href="/product/hypercube-charts" class="button-12 w-button">Learn More</a></div><div id="w-node-f2cf0f77-b11d-5882-8e88-c2d9e725b2d0-d8053ead" class="w-layout-cell cell-26"><div class="div-block-146"><div class="w-layout-hflex flex-block-11"><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/66650811f38e0214bc7207f0_icon-analyst.svg" loading="lazy" alt="Hypercube Analyst icon" class="img-80px"/><div class="text-block-h6--2 left-aligned">Hypercube Analyst</div></div><div class="text-block-58">Swiss Army Knife for clinical data discovery and curiosity.</div></div><a href="/product/hypercube-analyst" class="button-13 w-button">Learn More</a></div><div id="w-node-f2cf0f77-b11d-5882-8e88-c2d9e725b2d9-d8053ead" class="w-layout-cell cell-26"><div class="div-block-146"><div class="w-layout-hflex flex-block-11"><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/666508111a9773324d93d3ce_icon-build.svg" loading="lazy" alt="Build Your Own Hypercube icon" class="img-80px"/><div class="text-block-h6--2 left-aligned">Build Your Own</div></div><div class="text-block-58">LLM agnostic platform. Unmatched clinical reasoning capabilities.</div></div><a href="/product/build-your-own" class="button-14 w-button">Learn More</a></div><div id="w-node-f2cf0f77-b11d-5882-8e88-c2d9e725b2e2-d8053ead" class="w-layout-cell cell-26"><div class="div-block-146"><div class="w-layout-hflex flex-block-11"><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/66650811118b1645c9a20133_icon-redact.svg" loading="lazy" alt="Hypercube Redact icon" class="img-80px"/><div class="text-block-h6--2 left-aligned">Hypercube Redact</div></div><div class="text-block-58">Everyone claims accuracy. Mendel delivers certified results.</div></div><a href="/product/hypercube-redact" class="button-15 w-button">Learn More</a></div></div><div class="div-block-213"><a data-w-id="79d0c307-da6f-e33d-b281-418c615784c1" href="/product/compare-products" class="link-block-10 w-inline-block"><div data-w-id="79d0c307-da6f-e33d-b281-418c615784c2" class="div-block-221"><div class="text-block-h5-16px">Compare Products</div><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6626b739c552bf21db2657a6_right-arrow.svg" loading="lazy" alt="" class="home-right-arrow"/></div><div class="div-block-223"></div></a></div></div></section><section class="proven-impact-section"><div class="w-layout-blockcontainer container-centered w-container"><h2 class="h2-italicized">Case Studies and Publications</h2><div class="collection-list-wrapper-3 w-dyn-list"><div role="list" class="collection-list-4 w-dyn-items w-row"><div data-w-id="8bd94248-cca2-c13a-f5a7-be5b6340543a" style="opacity:0" role="listitem" class="collection-item-2 w-dyn-item w-col w-col-4"><a href="http://www.mendel.ai/post/faithfulness-hallucination-detection" class="w-inline-block"><div><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96bd/6712d18c5521c75eeeeddba3_mendel_faithfullness_paper_tumbnail.png" loading="lazy" alt="" sizes="(max-width: 991px) 258px, 358px" srcset="https://cdn.prod.website-files.com/66227c77724bc87e682a96bd/6712d18c5521c75eeeeddba3_mendel_faithfullness_paper_tumbnail-p-500.png 500w, https://cdn.prod.website-files.com/66227c77724bc87e682a96bd/6712d18c5521c75eeeeddba3_mendel_faithfullness_paper_tumbnail-p-800.png 800w, https://cdn.prod.website-files.com/66227c77724bc87e682a96bd/6712d18c5521c75eeeeddba3_mendel_faithfullness_paper_tumbnail-p-1080.png 1080w, https://cdn.prod.website-files.com/66227c77724bc87e682a96bd/6712d18c5521c75eeeeddba3_mendel_faithfullness_paper_tumbnail-p-1600.png 1600w, https://cdn.prod.website-files.com/66227c77724bc87e682a96bd/6712d18c5521c75eeeeddba3_mendel_faithfullness_paper_tumbnail-p-2000.png 2000w, https://cdn.prod.website-files.com/66227c77724bc87e682a96bd/6712d18c5521c75eeeeddba3_mendel_faithfullness_paper_tumbnail.png 2400w" class="blog-post-image"/><h6 class="blog-post-title">Faithfulness Hallucination Detection in Healthcare AI: Ensuring Reliable Medical Summaries</h6></div></a><div class="div-block-86"><a href="http://www.mendel.ai/post/faithfulness-hallucination-detection" class="blog-cta">Download now</a><div style="-webkit-transform:translate3d(0px, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0);-moz-transform:translate3d(0px, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0);-ms-transform:translate3d(0px, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0);transform:translate3d(0px, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0)" class="text-block-85 blog-cta-arrow">→</div></div></div><div data-w-id="8bd94248-cca2-c13a-f5a7-be5b6340543a" style="opacity:0" role="listitem" class="collection-item-2 w-dyn-item w-col w-col-4"><a href="http://www.mendel.ai/post/revolutionizing-patient-cohort-identification" class="w-inline-block"><div><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96bd/6712d6d4d3b2768729429fb8_mendel_acr_paper_tumbnail.png" loading="lazy" alt="" sizes="(max-width: 991px) 258px, 358px" srcset="https://cdn.prod.website-files.com/66227c77724bc87e682a96bd/6712d6d4d3b2768729429fb8_mendel_acr_paper_tumbnail-p-500.png 500w, https://cdn.prod.website-files.com/66227c77724bc87e682a96bd/6712d6d4d3b2768729429fb8_mendel_acr_paper_tumbnail-p-800.png 800w, https://cdn.prod.website-files.com/66227c77724bc87e682a96bd/6712d6d4d3b2768729429fb8_mendel_acr_paper_tumbnail-p-1080.png 1080w, https://cdn.prod.website-files.com/66227c77724bc87e682a96bd/6712d6d4d3b2768729429fb8_mendel_acr_paper_tumbnail-p-1600.png 1600w, https://cdn.prod.website-files.com/66227c77724bc87e682a96bd/6712d6d4d3b2768729429fb8_mendel_acr_paper_tumbnail-p-2000.png 2000w, https://cdn.prod.website-files.com/66227c77724bc87e682a96bd/6712d6d4d3b2768729429fb8_mendel_acr_paper_tumbnail.png 2400w" class="blog-post-image"/><h6 class="blog-post-title">Revolutionizing Patient Cohort Identification with AI – Insights from Mendel’s ACR Benchmark</h6></div></a><div class="div-block-86"><a href="http://www.mendel.ai/post/revolutionizing-patient-cohort-identification" class="blog-cta">Download Now</a><div style="-webkit-transform:translate3d(0px, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0);-moz-transform:translate3d(0px, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0);-ms-transform:translate3d(0px, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0);transform:translate3d(0px, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0)" class="text-block-85 blog-cta-arrow">→</div></div></div><div data-w-id="8bd94248-cca2-c13a-f5a7-be5b6340543a" style="opacity:0" role="listitem" class="collection-item-2 w-dyn-item w-col w-col-4"><a href="http://www.mendel.ai/post/introduction-to-hypercubes-ontology-and-reasoning-engine" class="w-inline-block"><div><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96bd/67114a63686f93c955c8f15a_Mendel_Blogpost_Whitepaper_Reasoning_Thumbnail_v2.png" loading="lazy" alt="" sizes="(max-width: 991px) 258px, 358px" srcset="https://cdn.prod.website-files.com/66227c77724bc87e682a96bd/67114a63686f93c955c8f15a_Mendel_Blogpost_Whitepaper_Reasoning_Thumbnail_v2-p-500.png 500w, https://cdn.prod.website-files.com/66227c77724bc87e682a96bd/67114a63686f93c955c8f15a_Mendel_Blogpost_Whitepaper_Reasoning_Thumbnail_v2-p-800.png 800w, https://cdn.prod.website-files.com/66227c77724bc87e682a96bd/67114a63686f93c955c8f15a_Mendel_Blogpost_Whitepaper_Reasoning_Thumbnail_v2-p-1080.png 1080w, https://cdn.prod.website-files.com/66227c77724bc87e682a96bd/67114a63686f93c955c8f15a_Mendel_Blogpost_Whitepaper_Reasoning_Thumbnail_v2-p-1600.png 1600w, https://cdn.prod.website-files.com/66227c77724bc87e682a96bd/67114a63686f93c955c8f15a_Mendel_Blogpost_Whitepaper_Reasoning_Thumbnail_v2-p-2000.png 2000w, https://cdn.prod.website-files.com/66227c77724bc87e682a96bd/67114a63686f93c955c8f15a_Mendel_Blogpost_Whitepaper_Reasoning_Thumbnail_v2.png 2400w" class="blog-post-image"/><h6 class="blog-post-title">Introduction to Hypercube’s Ontology and Reasoning Engine</h6></div></a><div class="div-block-86"><a href="http://www.mendel.ai/post/introduction-to-hypercubes-ontology-and-reasoning-engine" class="blog-cta">Read More</a><div style="-webkit-transform:translate3d(0px, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0);-moz-transform:translate3d(0px, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0);-ms-transform:translate3d(0px, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0);transform:translate3d(0px, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0)" class="text-block-85 blog-cta-arrow">→</div></div></div></div></div><a data-w-id="79d0c307-da6f-e33d-b281-418c615784c1" href="/resources/blog" class="link-block-10 w-inline-block"><div data-w-id="79d0c307-da6f-e33d-b281-418c615784c2" class="div-block-221"><div class="text-block-h5-16px">View Success Stories</div><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6626b739c552bf21db2657a6_right-arrow.svg" loading="lazy" alt="" class="home-right-arrow"/></div><div class="div-block-223"></div></a></div></section><section class="general-faq-section"><div class="w-layout-blockcontainer container-left-aligned w-container"><div class="div-block-182"><h2>Got a question?</h2></div><div class="faq-list"><div class="faq-wrapper"><div data-w-id="9af575fd-7a1a-c761-0975-ca15fb74f4dd" class="hc-faq-question"><div class="hc-faq-text">What makes your search actually work?</div><img style="-webkit-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);-moz-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);-ms-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0)" loading="lazy" alt="" src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/66227c77724bc87e682a99ac_Group%2071.svg" class="faq-arrows"/></div><div style="height:0px" class="hc-faq-answer"><div class="hc-faq-answer-text">Two things: We couple large language modeling with a proprietary hypergraph that represents the complexity of precision medicine, getting models closer to physician-level understanding of the data. Second, we solved computational problems to traverse hypergraphs at laser-fast speed and affordable cost, enabling the technology to work in real-life scenarios.</div></div></div><div class="faq-wrapper"><div data-w-id="9af575fd-7a1a-c761-0975-ca15fb74f4e8" class="hc-faq-question"><div class="hc-faq-text">What is a Hypergraph vs. a Knowledge graph?</div><img style="-webkit-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);-moz-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);-ms-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0)" loading="lazy" alt="" src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/66227c77724bc87e682a99ac_Group%2071.svg" class="faq-arrows"/></div><div style="height:0px" class="hc-faq-answer"><div class="hc-faq-answer-text">A hypergraph is a generalization of a graph, allowing edges to connect any number of vertices. Knowledge graphs are typically based on simple graphs, limiting the representation of complex relationships.</div></div></div><div class="faq-wrapper"><div data-w-id="9af575fd-7a1a-c761-0975-ca15fb74f4f0" class="hc-faq-question"><div class="hc-faq-text">Why can’t I build my own Hypergraph?</div><img style="-webkit-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);-moz-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);-ms-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0)" loading="lazy" alt="" src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/66227c77724bc87e682a99ac_Group%2071.svg" class="faq-arrows"/></div><div style="height:0px" class="hc-faq-answer"><div class="hc-faq-answer-text">Building a clinical Hypergraph requires extensive domain expertise, large-scale data curation, and complex algorithmic development. It is a time-consuming and resource-intensive process that most organizations may find challenging to undertake independently.</div></div></div><div class="faq-wrapper"><div data-w-id="9af575fd-7a1a-c761-0975-ca15fb74f4f8" class="hc-faq-question"><div class="hc-faq-text"><strong>Are Hypergraphs slow?</strong></div><img style="-webkit-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);-moz-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);-ms-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0)" loading="lazy" alt="" src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/66227c77724bc87e682a99ac_Group%2071.svg" class="faq-arrows"/></div><div style="height:0px" class="hc-faq-answer"><div class="hc-faq-answer-text">Not necessarily. Our Hypergraph technology utilizes innovative algorithms and data structures specifically designed for efficient hypergraph analysis, enabling quick traversal and querying even with a large number of nodes and relationships.</div></div></div><div class="faq-wrapper"><div data-w-id="9af575fd-7a1a-c761-0975-ca15fb74f500" class="hc-faq-question"><div class="hc-faq-text">Who are the experts behind the Hypergraph?</div><img style="-webkit-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);-moz-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);-ms-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0)" loading="lazy" alt="" src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/66227c77724bc87e682a99ac_Group%2071.svg" class="faq-arrows"/></div><div style="height:0px" class="hc-faq-answer"><div class="hc-faq-answer-text">Our Hypergraph is developed by a team of AI scientists and clinical experts who have worked together for years to curate knowledge and build a scalable solution tailored to the unique challenges of the clinical domain.</div></div></div><div class="faq-wrapper"><div data-w-id="9af575fd-7a1a-c761-0975-ca15fb74f508" class="hc-faq-question"><div class="hc-faq-text">What ontology are you using?</div><img style="-webkit-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);-moz-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);-ms-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0)" loading="lazy" alt="" src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/66227c77724bc87e682a99ac_Group%2071.svg" class="faq-arrows"/></div><div style="height:0px" class="hc-faq-answer"><div class="hc-faq-answer-text">We have developed a proprietary ontology called the “Generative Ontology” that combines principles of generative grammar and ontology to create a scalable and adaptable system for modeling the clinical domain.</div></div></div><div class="faq-wrapper"><div data-w-id="9af575fd-7a1a-c761-0975-ca15fb74f510" class="hc-faq-question"><div class="hc-faq-text">Can I trust the logic?</div><img style="-webkit-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);-moz-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);-ms-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0)" loading="lazy" alt="" src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/66227c77724bc87e682a99ac_Group%2071.svg" class="faq-arrows"/></div><div style="height:0px" class="hc-faq-answer"><div class="hc-faq-answer-text">Yes, our Hypergraph is expert-curated and open, allowing clinical teams to audit the logic. The underlying language models are trained on actual medical data and records, not just internet data.</div></div></div><div class="faq-wrapper"><div data-w-id="9af575fd-7a1a-c761-0975-ca15fb74f518" class="hc-faq-question"><div class="hc-faq-text">Is this a rule-based system?</div><img style="-webkit-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);-moz-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);-ms-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0)" loading="lazy" alt="" src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/66227c77724bc87e682a99ac_Group%2071.svg" class="faq-arrows"/></div><div style="height:0px" class="hc-faq-answer"><div class="hc-faq-answer-text">No, our platform combines both symbolic reasoning (through the Hypergraph) and machine learning (through language models) to achieve a more comprehensive and flexible approach to clinical reasoning, going beyond traditional rule-based systems.</div></div></div></div><div class="div-block-207"><a data-w-id="79d0c307-da6f-e33d-b281-418c615784c1" href="/resources/faq" class="link-block-10 w-inline-block"><div data-w-id="79d0c307-da6f-e33d-b281-418c615784c2" class="div-block-221"><div class="text-block-h5-16px">View All FAQs</div><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6626b739c552bf21db2657a6_right-arrow.svg" loading="lazy" alt="" class="home-right-arrow"/></div><div class="div-block-223"></div></a></div></div></section><section class="contact"><div class="w-layout-blockcontainer container-centered w-container"><h2 class="heading-56">Get started with the<br/>Mendel platform <span class="text-span-92"><strong>today</strong></span></h2><div class="home-page-section-button-wrapper"><a href="/try-the-playground" class="button-7 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