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w-icon-nav-menu"></div></div></div></figure><section class="pharma-header"><div class="w-layout-blockcontainer container-left-aligned w-container"><div class="div-block-247"><h5 class="h5-left-aligned">Mendel for Biopharma</h5><h1 class="heading-121"><span class="text-span-73">Supercharge</span> clinical data discoverability</h1></div></div></section><section class="what-mendel-does-section"><div class="w-layout-blockcontainer container-centered w-container"><div class="div-block-248"><div class="text-block-h5-16px">Build and simulate complex cohorts at the speed of thought</div><h2 class="heading-144">Supercharging your historical trial data and third-party RWD with an AI that mimics a physician understanding of precision medicine</h2></div></div></section><section class="pharma-use-cases-section"><div class="w-layout-blockcontainer container-centered w-container"><div class="div-block-173"><h2>AI could <span class="text-span-74">revolutionize</span> how pharma uses data</h2></div><div class="div-three-columns real-results"><div id="w-node-_426500dc-43c9-e6c8-1a90-810b57abf292-8c3c7bb1" class="w-layout-layout quick-stack-0-gap real-results wf-layout-layout"><div id="w-node-_426500dc-43c9-e6c8-1a90-810b57abf293-8c3c7bb1" class="w-layout-cell cell-centered-top stacked"><div><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6660dd2fbccab32a4c4aa9fa_icon-data-discoverability.svg" loading="lazy" alt="Hypergraph icon in a circle of data points to represent "Data Discoverability"" class="img-150px"/><div class="text-block-h4">Data Discoverability</div></div></div><div id="w-node-_426500dc-43c9-e6c8-1a90-810b57abf294-8c3c7bb1" class="w-layout-cell cell-centered-top left-stroke stacked"><div><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6660dd2f4789a51449c4a592_icon-commercial-alerts.svg" loading="lazy" alt="UI screen with patient data icon. Notification bell at the top." class="img-150px"/><div class="text-block-h4">Commercial Alerts</div></div></div></div></div></div></section><section class="benefits-pharma-section"><div class="w-layout-blockcontainer container-centered w-container"><div><h2 class="h2-black">How <span class="text-span-75">pharma</span> benefits from Mendel</h2></div><div class="div-three-columns real-results"><div id="w-node-_0c469b52-c203-bcf0-0b5c-53c93eca0bcf-8c3c7bb1" class="w-layout-layout quick-stack-0-gap real-results wf-layout-layout"><div id="w-node-_0c469b52-c203-bcf0-0b5c-53c93eca0bd0-8c3c7bb1" class="w-layout-cell cell-centered-top btm-stroke stacked"><div class="div-block-218"><h3 class="h3-black">Universal Data Model for Data Discovery</h3><div class="text-block-66">Consolidates all your historical trials and third-party RWD into a reasoning-ready universal model.</div></div></div><div id="w-node-_0c469b52-c203-bcf0-0b5c-53c93eca0bd1-8c3c7bb1" class="w-layout-cell cell-centered-top btm-stroke left-stroke-2 stacked"><div class="div-block-218"><h3 class="h3-black">Rapid Cohort Simulation</h3><div class="text-block-66">Transcend simple rules matching — ask sophisticated questions incorporating factors like time, demographics, comorbidities, and treatment history.</div></div></div><div id="w-node-_77affc99-8ea2-f360-827d-260fc64f510a-8c3c7bb1" class="w-layout-cell cell-centered-top stacked"><div class="div-block-218"><h3 class="h3-black">Time to Insight<br/>30X Faster</h3><div class="text-block-66">Hypercube leverages an AI architecture that <strong>drops cost of processing by 100X</strong> enabling instant insights.</div></div></div><div id="w-node-fa08237c-e91a-0f4f-7257-2077622f1e03-8c3c7bb1" class="w-layout-cell cell-centered-top left-stroke-2 stacked"><div class="div-block-218"><h3 class="h3-black">Commercial/Trials Alerts from Our Partners</h3><div class="text-block-66">Be alerted instantly of new eligible patients based on our rich EMR, claims and Labs data for your drug brands and clinical trials.</div></div></div></div></div><div class="home-page-section-button-wrapper"><a href="/get-started" class="button-6 w-button">Get StarteD</a><a href="/contact" class="contact-sales-button black w-inline-block"><div class="text-block-h5-16px black">Contact Sales</div></a></div></div></section><section class="integrations-section"><div class="w-layout-blockcontainer container-wide w-container"><div><h2 class="heading-50">Plug It Into What You <span class="text-span-36">Already</span> Use</h2></div><div id="w-node-_5bc32ed7-fae9-700d-1fba-51e34c87fffc-8eb5f218" class="w-layout-layout quick-stack-0-gap integrations wf-layout-layout"><div id="w-node-_5bc32ed7-fae9-700d-1fba-51e34c87fffd-8eb5f218" class="w-layout-cell cell-centered-top integrations"><p class="paragraph-20"><strong>Integrates</strong> with your existing BI, ETL, and data ingestion tools.</p></div><div id="w-node-_5bc32ed7-fae9-700d-1fba-51e34c87fffe-8eb5f218" class="w-layout-cell cell-38"><div class="div-block-210"></div></div><div id="w-node-_346ec0c2-68d6-15df-5f3a-427b84452289-8eb5f218" class="w-layout-cell cell-centered-top integrations"><p class="paragraph-20"><strong>Data stays with you</strong> with plug and play implementation, supporting 50+ connectors and 20+ visualization and SQL tools.</p></div><div id="w-node-_845bde1a-7826-f4cd-67d9-8fc29d8e0172-8eb5f218" class="w-layout-cell cell-38"><div class="div-block-210"></div></div><div id="w-node-_5700c94a-eec5-6a90-dea1-978d9eea4212-8eb5f218" class="w-layout-cell cell-centered-top integrations"><p class="paragraph-20"><strong>Enables you</strong> to leverage our pre-trained or couple the LLM of your choice.</p></div></div><div class="w-layout-vflex flex-block-2"><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/665608201e49cb4a3d4e8630_connection-line.svg" loading="lazy" alt="" class="image-129-copy-copy"/><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/665608201e49cb4a3d4e8630_connection-line.svg" loading="lazy" alt="" class="image-129-copy"/><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/665608201e49cb4a3d4e8630_connection-line.svg" loading="lazy" alt="" class="image-129"/><div class="div-block-87"><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/66510edaa46d7fb862e30e2d_llm.svg" loading="lazy" width="67" alt="LLM icon"/><h5 class="heading-53">LLM</h5></div><div class="div-block-126"></div><div class="w-layout-hflex flex-block-3"><div class="div-block-87"><div class="hypercube-integrations-div"><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/66510eda1d413348bab0a2c6_hypercube.svg" loading="lazy" width="67" alt="Hypercube icon"/><h5 class="heading-53">Hypercube</h5></div></div></div><div class="div-block-125"></div><div class="w-layout-hflex flex-block-4"><h5 class="heading-57">Interfaces</h5><div class="integrations-outer-box"><div class="integrations-box"><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095bc06daa622cff3369_640px-Tableau_Logo.png" loading="lazy" width="116" sizes="(max-width: 767px) 86px, (max-width: 991px) 11vw, 98px" alt="Tableau logo" srcset="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095bc06daa622cff3369_640px-Tableau_Logo-p-500.png 500w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095bc06daa622cff3369_640px-Tableau_Logo.png 640w"/></div><div class="integrations-box"><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c5c674222981a5cae_ThoughtSpot_logo_2019.png" loading="lazy" width="130" sizes="(max-width: 767px) 86px, (max-width: 991px) 11vw, 98px" alt="Thoughtspot logo" srcset="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c5c674222981a5cae_ThoughtSpot_logo_2019-p-500.png 500w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c5c674222981a5cae_ThoughtSpot_logo_2019.png 650w"/></div><div class="integrations-box"><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095b64749a61c8a0183c_amazon-quicksight-logo.png" loading="lazy" width="111" alt="Amazon QuickSight logo"/></div><div class="integrations-box"><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c327d301e5afb7b3e_R_logo.png" loading="lazy" width="99" sizes="(max-width: 767px) 86px, (max-width: 991px) 11vw, 98px" alt="R logo" srcset="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c327d301e5afb7b3e_R_logo-p-500.png 500w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c327d301e5afb7b3e_R_logo-p-800.png 800w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c327d301e5afb7b3e_R_logo-p-1080.png 1080w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c327d301e5afb7b3e_R_logo.png 1280w"/></div><div class="integrations-box"><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c8de277b184950d75_jupyter-logo.png" loading="lazy" width="125" sizes="(max-width: 767px) 86px, (max-width: 991px) 11vw, 98px" alt="Jupyter logo" srcset="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c8de277b184950d75_jupyter-logo-p-500.png 500w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c8de277b184950d75_jupyter-logo-p-800.png 800w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c8de277b184950d75_jupyter-logo-p-1080.png 1080w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c8de277b184950d75_jupyter-logo.png 1400w"/></div><div class="integrations-box"><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c7b990f0a5988c137_2560px-SAS_logo_horiz.svg.png" loading="lazy" width="109" sizes="(max-width: 767px) 86px, (max-width: 991px) 11vw, 98px" alt="SAS logo" srcset="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c7b990f0a5988c137_2560px-SAS_logo_horiz.svg-p-500.png 500w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c7b990f0a5988c137_2560px-SAS_logo_horiz.svg-p-800.png 800w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c7b990f0a5988c137_2560px-SAS_logo_horiz.svg-p-1080.png 1080w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c7b990f0a5988c137_2560px-SAS_logo_horiz.svg-p-1600.png 1600w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c7b990f0a5988c137_2560px-SAS_logo_horiz.svg-p-2000.png 2000w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c7b990f0a5988c137_2560px-SAS_logo_horiz.svg.png 2560w"/></div></div></div><div class="div-block-124"></div><div class="w-layout-hflex flex-block-4"><h5 class="heading-57">Data Sources</h5><div class="integrations-outer-box"><div class="integrations-box"><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c884bd824d64454fc_amazon-redshift.png" loading="lazy" width="136" sizes="(max-width: 991px) 86px, 98px" alt="" srcset="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c884bd824d64454fc_amazon-redshift-p-500.png 500w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c884bd824d64454fc_amazon-redshift-p-800.png 800w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c884bd824d64454fc_amazon-redshift-p-1080.png 1080w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c884bd824d64454fc_amazon-redshift-p-1600.png 1600w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c884bd824d64454fc_amazon-redshift-p-2000.png 2000w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c884bd824d64454fc_amazon-redshift-p-2600.png 2600w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c884bd824d64454fc_amazon-redshift-p-3200.png 3200w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c884bd824d64454fc_amazon-redshift.png 6388w"/></div><div class="integrations-box"><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c5197a1418cb14b35_google-bigquery.png" loading="lazy" width="128" sizes="(max-width: 991px) 86px, 98px" alt="Google BigQuery logo" srcset="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c5197a1418cb14b35_google-bigquery-p-500.png 500w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c5197a1418cb14b35_google-bigquery-p-800.png 800w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c5197a1418cb14b35_google-bigquery-p-1080.png 1080w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c5197a1418cb14b35_google-bigquery-p-1600.png 1600w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c5197a1418cb14b35_google-bigquery-p-2000.png 2000w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c5197a1418cb14b35_google-bigquery-p-2600.png 2600w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c5197a1418cb14b35_google-bigquery-p-3200.png 3200w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c5197a1418cb14b35_google-bigquery.png 5240w"/></div><div class="integrations-box"><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c01c4ec4a4b588bea_amazon-rds.png" loading="lazy" width="118" sizes="(max-width: 991px) 86px, 98px" alt="" srcset="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c01c4ec4a4b588bea_amazon-rds-p-500.png 500w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c01c4ec4a4b588bea_amazon-rds-p-800.png 800w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c01c4ec4a4b588bea_amazon-rds-p-1080.png 1080w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c01c4ec4a4b588bea_amazon-rds-p-1600.png 1600w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c01c4ec4a4b588bea_amazon-rds-p-2000.png 2000w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c01c4ec4a4b588bea_amazon-rds-p-2600.png 2600w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c01c4ec4a4b588bea_amazon-rds-p-3200.png 3200w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095c01c4ec4a4b588bea_amazon-rds.png 6324w"/></div><div class="integrations-box"><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095cfcf1dff6df4d2a64_Snowflake_Logo.png" loading="lazy" width="120" sizes="(max-width: 991px) 86px, 98px" alt="Snowflake logo" srcset="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095cfcf1dff6df4d2a64_Snowflake_Logo-p-500.png 500w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095cfcf1dff6df4d2a64_Snowflake_Logo-p-800.png 800w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095cfcf1dff6df4d2a64_Snowflake_Logo-p-1080.png 1080w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095cfcf1dff6df4d2a64_Snowflake_Logo-p-1600.png 1600w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095cfcf1dff6df4d2a64_Snowflake_Logo-p-2000.png 2000w, https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095cfcf1dff6df4d2a64_Snowflake_Logo.png 2560w"/></div><div class="integrations-box"><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/6656095b3c035c64181886aa_databricks-logo.png" loading="lazy" width="114" alt="Databricks logo"/></div></div></div><div class="div-block-187"><a data-w-id="0d3e5eb6-e3b4-8317-a145-a8918eb5f265" href="/technology/integrations" class="view-all-integrations-btn w-inline-block"><div data-w-id="1a95ce96-4e7c-6071-b16e-c84098758c93" class="div-block-226"><h5 class="heading-52">View All Integrations</h5><img src="https://cdn.prod.website-files.com/66227c77724bc87e682a96b8/66510ccacccba4f1c6f6b5a5_right-arrow-black.svg" loading="lazy" alt="" class="integrations-arrow"/></div><div class="div-block-227"></div></a></div></div></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="5c2bb701-a532-4614-556d-694a2ecde362" 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="5c2bb701-a532-4614-556d-694a2ecde362" 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="5c2bb701-a532-4614-556d-694a2ecde362" 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="f0138329-e3a8-6d2a-d81c-19cf757186c5" 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="f0138329-e3a8-6d2a-d81c-19cf757186d0" 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="f0138329-e3a8-6d2a-d81c-19cf757186d8" 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="f0138329-e3a8-6d2a-d81c-19cf757186e0" 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="f0138329-e3a8-6d2a-d81c-19cf757186e8" 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="f0138329-e3a8-6d2a-d81c-19cf757186f0" 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="f0138329-e3a8-6d2a-d81c-19cf757186f8" 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="f0138329-e3a8-6d2a-d81c-19cf75718700" 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-91">today</span></h2><div class="home-page-section-button-wrapper"><a href="/try-the-playground" class="button-7 w-button">Try the 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