{"id":2352,"date":"2026-06-05T05:48:47","date_gmt":"2026-06-05T05:48:47","guid":{"rendered":"https:\/\/test.liviagents.ai\/?page_id=2352"},"modified":"2026-06-08T23:55:16","modified_gmt":"2026-06-08T23:55:16","slug":"ecosystem","status":"publish","type":"page","link":"https:\/\/liviagents.ai\/index.php\/ecosystem\/","title":{"rendered":"Ecosystem"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"2352\" class=\"elementor elementor-2352\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ddaa0d5 e-con-full e-flex e-con e-parent\" data-id=\"ddaa0d5\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4cefd21 elementor-widget__width-inherit elementor-widget elementor-widget-html\" data-id=\"4cefd21\" data-element_type=\"widget\" data-e-type=\"widget\" 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<p>Every Livi agent is personalized with real-world data, grounded in trusted clinical and nutrition knowledge, and validated against rigorous, peer-reviewed benchmarks. Here's the full ecosystem.<\/p>\n<\/div><\/section>\n\n<div class=\"wrap\">\n  <div class=\"tabs\" id=\"tabs\">\n    <button class=\"tab active\" data-t=\"data\">Data <span class=\"cnt\">1<\/span><\/button>\n    <button class=\"tab\" data-t=\"kb\">Knowledge Bases <span class=\"cnt\">11<\/span><\/button>\n    <button class=\"tab\" data-t=\"bench\">Benchmarks <span class=\"cnt\">10<\/span><\/button>\n  <\/div>\n\n  <!-- DATA -->\n  <div class=\"panel active\" data-p=\"data\">\n    <p class=\"panel-intro\"><b>Real-world data<\/b> brings personalization into every conversation \u2014 streamed in live through our data partner.<\/p>\n    <div class=\"feat\">\n      <div class=\"feat-grid\">\n        <div>\n          <span class=\"ft\">\u2605 Featured data partner<\/span>\n          <h3>Powered by Centralive<\/h3>\n          <p>A no-code, closed-loop research platform from UC Irvine's Institute for Future Health that unifies wearables and biosignals, context-aware EMAs and patient-reported outcomes (PROs), just-in-time interventions, and passive life-logging \u2014 and streams them into Livi in real time.<\/p>\n          <div class=\"tg\"><span>Wearables &amp; biosignals<\/span><span>Context-aware EMAs<\/span><span>PROs &amp; self-reported outcomes<\/span><span>Just-in-time interventions<\/span><span>Life logging<\/span><\/div>\n          <div class=\"frow\">\n            <a class=\"fbtn\" href=\"https:\/\/centralive.health\" target=\"_blank\" rel=\"noopener\">Visit Centralive \u2192<\/a>\n            <span class=\"fcite\">Source: Centralive (IAI Systems) \u00b7 UC Irvine Institute for Future Health<\/span>\n          <\/div>\n        <\/div>\n        <div class=\"plate\"><svg width=\"318\" height=\"51\" viewBox=\"0 0 318 51\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n<g clip-path=\"url(#clip0_489_3491)\">\n<path d=\"M88.3991 40.1898C88.2887 40.0727 88.1408 40.0059 87.9811 40.0059C87.8332 40.0059 87.6923 40.0632 87.582 40.1659C84.2618 43.2989 80.4392 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23.9322H3.96317Z\" fill=\"#32CD32\"\/>\n<path d=\"M15.6659 49.3665C15.4358 49.6984 15.1165 49.9301 14.7643 50.0518C14.7643 50.0518 14.7619 50.0518 14.7596 50.0518C14.7267 50.0614 14.6938 50.0709 14.661 50.0829C14.661 50.0829 14.661 50.0829 14.6563 50.0829C4.72875 53.087 -2.93291 47.3797 1.08929 35.1915C3.5289 28.0132 8.44805 21.7615 14.1139 16.8303C14.6422 16.3694 15.3889 16.2668 16.0181 16.5676C16.0299 16.5724 16.0416 16.5796 16.0534 16.5844C17.2227 17.1455 17.4364 18.7455 16.4502 19.598C11.3009 24.0444 6.81616 29.7158 4.55734 36.1371C1.42036 45.3619 6.13523 48.8793 13.5856 46.5654C13.6255 46.5535 13.6677 46.5391 13.7077 46.5272C13.7077 46.5272 13.71 46.5272 13.7124 46.5272C14.2125 46.3911 14.7666 46.4723 15.2245 46.797C15.2245 46.797 15.2245 46.797 15.2268 46.797C15.2433 46.809 15.2597 46.8209 15.2762 46.8329C16.051 47.4298 16.2295 48.5474 15.6636 49.3641L15.6659 49.3665Z\" fill=\"#32CD32\"\/>\n<path d=\"M13.7096 46.5295C13.6698 46.5436 13.6277 46.5553 13.5879 46.567C13.6277 46.5529 13.6675 46.5412 13.7096 46.5295Z\" fill=\"#32CD32\"\/>\n<\/g>\n<defs>\n<clipPath id=\"clip0_489_3491\">\n<rect width=\"318\" height=\"51\" fill=\"white\"\/>\n<\/clipPath>\n<\/defs>\n<\/svg><\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <!-- KNOWLEDGE BASES -->\n  <div class=\"panel\" data-p=\"kb\">\n    <p class=\"panel-intro\"><b>Trusted knowledge bases &amp; graphs<\/b> ground every answer in verified clinical, pharmacological and nutrition science.<\/p>\n    <h3 class=\"subgroup\">Clinical terminologies &amp; ontologies <span class=\"sg-count\">4<\/span><\/h3>\n<div class=\"cards\"><div class=\"card\" data-cat=\"kb\"><div class=\"ctop\"><div class=\"cic kb\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><path d=\"M4 19.5A2.5 2.5 0 0 1 6.5 17H20\"\/><path d=\"M6.5 2H20v20H6.5A2.5 2.5 0 0 1 4 19.5v-15A2.5 2.5 0 0 1 6.5 2z\"\/><\/svg><\/div><div><div class=\"cname\">UMLS<\/div><div class=\"cbadge\">Terminology<\/div><\/div><\/div><div class=\"cdefn\">The NIH\/NLM Unified Medical Language System \u2014 a metathesaurus that unifies 200+ biomedical vocabularies (including SNOMED CT, ICD, RxNorm and MeSH) under common concept identifiers.<\/div><button class=\"cuse-toggle\">How Livi uses it <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\"><polyline points=\"6 9 12 15 18 9\"\/><\/svg><\/button><div class=\"cuse\"><div class=\"cuse-in\"><div class=\"cuse-box\">Normalizes patient and clinician language to standardized clinical concepts so reasoning stays consistent and interoperable.<\/div><\/div><\/div><a class=\"ccite\" href=\"https:\/\/www.nlm.nih.gov\/research\/umls\/index.html\" target=\"_blank\" rel=\"noopener\">Bodenreider O. Nucleic Acids Research, 2004. <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><line x1=\"7\" y1=\"17\" x2=\"17\" y2=\"7\"\/><polyline points=\"7 7 17 7 17 17\"\/><\/svg><\/a><\/div><div class=\"card\" data-cat=\"kb\"><div class=\"ctop\"><div class=\"cic kb\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><path d=\"M4 19.5A2.5 2.5 0 0 1 6.5 17H20\"\/><path d=\"M6.5 2H20v20H6.5A2.5 2.5 0 0 1 4 19.5v-15A2.5 2.5 0 0 1 6.5 2z\"\/><\/svg><\/div><div><div class=\"cname\">SNOMED CT<\/div><div class=\"cbadge\">Terminology<\/div><\/div><\/div><div class=\"cdefn\">A comprehensive, multilingual clinical terminology of ~350,000 concepts with defined relationships \u2014 the most widely used clinical reference terminology worldwide.<\/div><button class=\"cuse-toggle\">How Livi uses it <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\"><polyline points=\"6 9 12 15 18 9\"\/><\/svg><\/button><div class=\"cuse\"><div class=\"cuse-in\"><div class=\"cuse-box\">Encodes diagnoses, findings and procedures precisely for structured clinical reasoning.<\/div><\/div><\/div><a class=\"ccite\" href=\"https:\/\/www.snomed.org\/\" target=\"_blank\" rel=\"noopener\">SNOMED International. <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><line x1=\"7\" y1=\"17\" x2=\"17\" y2=\"7\"\/><polyline points=\"7 7 17 7 17 17\"\/><\/svg><\/a><\/div><div class=\"card\" data-cat=\"kb\"><div class=\"ctop\"><div class=\"cic kb\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><path d=\"M4 19.5A2.5 2.5 0 0 1 6.5 17H20\"\/><path d=\"M6.5 2H20v20H6.5A2.5 2.5 0 0 1 4 19.5v-15A2.5 2.5 0 0 1 6.5 2z\"\/><\/svg><\/div><div><div class=\"cname\">RxNorm<\/div><div class=\"cbadge\">Drug terminology<\/div><\/div><\/div><div class=\"cdefn\">A normalized naming system for clinical drugs from the U.S. National Library of Medicine, linking brand and generic names across pharmacy systems.<\/div><button class=\"cuse-toggle\">How Livi uses it <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\"><polyline points=\"6 9 12 15 18 9\"\/><\/svg><\/button><div class=\"cuse\"><div class=\"cuse-in\"><div class=\"cuse-box\">Resolves medication names to a single standard for accurate lookups and interaction checks.<\/div><\/div><\/div><a class=\"ccite\" href=\"https:\/\/www.nlm.nih.gov\/research\/umls\/rxnorm\/index.html\" target=\"_blank\" rel=\"noopener\">Nelson SJ, et al. JAMIA, 2011. <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><line x1=\"7\" y1=\"17\" x2=\"17\" y2=\"7\"\/><polyline points=\"7 7 17 7 17 17\"\/><\/svg><\/a><\/div><div class=\"card\" data-cat=\"kb\"><div class=\"ctop\"><div class=\"cic kb\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><path d=\"M4 19.5A2.5 2.5 0 0 1 6.5 17H20\"\/><path d=\"M6.5 2H20v20H6.5A2.5 2.5 0 0 1 4 19.5v-15A2.5 2.5 0 0 1 6.5 2z\"\/><\/svg><\/div><div><div class=\"cname\">ICD-10\/11<\/div><div class=\"cbadge\">Classification<\/div><\/div><\/div><div class=\"cdefn\">The World Health Organization&#x27;s International Classification of Diseases (ICD-10 and ICD-11) \u2014 the global standard for coding diseases and health conditions.<\/div><button class=\"cuse-toggle\">How Livi uses it <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\"><polyline points=\"6 9 12 15 18 9\"\/><\/svg><\/button><div class=\"cuse\"><div class=\"cuse-in\"><div class=\"cuse-box\">Maps conditions to internationally recognized diagnostic codes.<\/div><\/div><\/div><a class=\"ccite\" href=\"https:\/\/icd.who.int\/\" target=\"_blank\" rel=\"noopener\">World Health Organization (ICD-10 &amp; ICD-11). <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><line x1=\"7\" y1=\"17\" x2=\"17\" y2=\"7\"\/><polyline points=\"7 7 17 7 17 17\"\/><\/svg><\/a><\/div><\/div>\n<h3 class=\"subgroup\">Drugs &amp; pharmacology <span class=\"sg-count\">1<\/span><\/h3>\n<div class=\"cards\"><div class=\"card\" data-cat=\"kb\"><div class=\"ctop\"><div class=\"cic kb\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><path d=\"M4 19.5A2.5 2.5 0 0 1 6.5 17H20\"\/><path d=\"M6.5 2H20v20H6.5A2.5 2.5 0 0 1 4 19.5v-15A2.5 2.5 0 0 1 6.5 2z\"\/><\/svg><\/div><div><div class=\"cname\">DrugBank<\/div><div class=\"cbadge\">Drugs<\/div><\/div><\/div><div class=\"cdefn\">A richly annotated database pairing detailed drug data with comprehensive drug-target, pharmacology and drug\u2013drug interaction information.<\/div><button class=\"cuse-toggle\">How Livi uses it <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\"><polyline points=\"6 9 12 15 18 9\"\/><\/svg><\/button><div class=\"cuse\"><div class=\"cuse-in\"><div class=\"cuse-box\">Lets agents surface medication details and flag potential interactions.<\/div><\/div><\/div><a class=\"ccite\" href=\"https:\/\/go.drugbank.com\/\" target=\"_blank\" rel=\"noopener\">Wishart DS, et al. Nucleic Acids Research. <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><line x1=\"7\" y1=\"17\" x2=\"17\" y2=\"7\"\/><polyline points=\"7 7 17 7 17 17\"\/><\/svg><\/a><\/div><\/div>\n<h3 class=\"subgroup\">Food &amp; nutrition <span class=\"sg-count\">4<\/span><\/h3>\n<div class=\"cards\"><div class=\"card\" data-cat=\"kb\"><div class=\"ctop\"><div class=\"cic kb\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><path d=\"M4 19.5A2.5 2.5 0 0 1 6.5 17H20\"\/><path d=\"M6.5 2H20v20H6.5A2.5 2.5 0 0 1 4 19.5v-15A2.5 2.5 0 0 1 6.5 2z\"\/><\/svg><\/div><div><div class=\"cname\">Nutritionix<\/div><div class=\"cbadge\">Nutrition<\/div><\/div><\/div><div class=\"cdefn\">One of the largest verified nutrition databases, covering packaged foods, common foods and restaurant menu items with calories and macronutrients.<\/div><button class=\"cuse-toggle\">How Livi uses it <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\"><polyline points=\"6 9 12 15 18 9\"\/><\/svg><\/button><div class=\"cuse\"><div class=\"cuse-in\"><div class=\"cuse-box\">Powers dietary guidance, meal logging and nutrition Q&amp;A.<\/div><\/div><\/div><a class=\"ccite\" href=\"https:\/\/www.nutritionix.com\/\" target=\"_blank\" rel=\"noopener\">Nutritionix \u2014 commercial nutrition database &amp; API. <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><line x1=\"7\" y1=\"17\" x2=\"17\" y2=\"7\"\/><polyline points=\"7 7 17 7 17 17\"\/><\/svg><\/a><\/div><div class=\"card\" data-cat=\"kb\"><div class=\"ctop\"><div class=\"cic kb\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><path d=\"M4 19.5A2.5 2.5 0 0 1 6.5 17H20\"\/><path d=\"M6.5 2H20v20H6.5A2.5 2.5 0 0 1 4 19.5v-15A2.5 2.5 0 0 1 6.5 2z\"\/><\/svg><\/div><div><div class=\"cname\">USDA FoodData Central<\/div><div class=\"cbadge\">Nutrition<\/div><\/div><\/div><div class=\"cdefn\">The USDA&#x27;s integrated food and nutrient database, providing authoritative nutrient profiles for thousands of foods.<\/div><button class=\"cuse-toggle\">How Livi uses it <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\"><polyline points=\"6 9 12 15 18 9\"\/><\/svg><\/button><div class=\"cuse\"><div class=\"cuse-in\"><div class=\"cuse-box\">Supplies trusted nutrient values for dietary analysis and recommendations.<\/div><\/div><\/div><a class=\"ccite\" href=\"https:\/\/fdc.nal.usda.gov\/\" target=\"_blank\" rel=\"noopener\">U.S. Department of Agriculture, Agricultural Research Service. <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><line x1=\"7\" y1=\"17\" x2=\"17\" y2=\"7\"\/><polyline points=\"7 7 17 7 17 17\"\/><\/svg><\/a><\/div><div class=\"card\" data-cat=\"kb\"><div class=\"ctop\"><div class=\"cic graph\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><circle cx=\"5\" cy=\"6\" r=\"2.5\"\/><circle cx=\"19\" cy=\"6\" r=\"2.5\"\/><circle cx=\"12\" cy=\"18\" r=\"2.5\"\/><path d=\"M7 7.5 10.5 16M17 7.5 13.5 16M7.2 6h9.6\"\/><\/svg><\/div><div><div class=\"cname\">FoodKG<\/div><div class=\"cbadge\">Knowledge graph<\/div><\/div><\/div><div class=\"cdefn\">A unified food knowledge graph linking recipes, ingredients, nutrition and food ontologies to support food recommendation and question answering.<\/div><button class=\"cuse-toggle\">How Livi uses it <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\"><polyline points=\"6 9 12 15 18 9\"\/><\/svg><\/button><div class=\"cuse\"><div class=\"cuse-in\"><div class=\"cuse-box\">Enables food recommendations, ingredient substitutions and diet-aware answers.<\/div><\/div><\/div><a class=\"ccite\" href=\"https:\/\/foodkg.github.io\/\" target=\"_blank\" rel=\"noopener\">Haussmann S, et al. ISWC, 2019. <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><line x1=\"7\" y1=\"17\" x2=\"17\" y2=\"7\"\/><polyline points=\"7 7 17 7 17 17\"\/><\/svg><\/a><\/div><div class=\"card\" data-cat=\"kb\"><div class=\"ctop\"><div class=\"cic kb\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><path d=\"M4 19.5A2.5 2.5 0 0 1 6.5 17H20\"\/><path d=\"M6.5 2H20v20H6.5A2.5 2.5 0 0 1 4 19.5v-15A2.5 2.5 0 0 1 6.5 2z\"\/><\/svg><\/div><div><div class=\"cname\">FoodOn<\/div><div class=\"cbadge\">Ontology<\/div><\/div><\/div><div class=\"cdefn\">A harmonized food ontology describing foods and their sources, processing and properties to standardize food data across systems.<\/div><button class=\"cuse-toggle\">How Livi uses it <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\"><polyline points=\"6 9 12 15 18 9\"\/><\/svg><\/button><div class=\"cuse\"><div class=\"cuse-in\"><div class=\"cuse-box\">Gives food and diet reasoning a consistent semantic backbone.<\/div><\/div><\/div><a class=\"ccite\" href=\"https:\/\/foodon.org\/\" target=\"_blank\" rel=\"noopener\">Dooley DM, et al. npj Science of Food, 2018. <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><line x1=\"7\" y1=\"17\" x2=\"17\" y2=\"7\"\/><polyline points=\"7 7 17 7 17 17\"\/><\/svg><\/a><\/div><\/div>\n<h3 class=\"subgroup\">Biomedical knowledge graphs <span class=\"sg-count\">2<\/span><\/h3>\n<div class=\"cards\"><div class=\"card\" data-cat=\"kb\"><div class=\"ctop\"><div class=\"cic graph\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><circle cx=\"5\" cy=\"6\" r=\"2.5\"\/><circle cx=\"19\" cy=\"6\" r=\"2.5\"\/><circle cx=\"12\" cy=\"18\" r=\"2.5\"\/><path d=\"M7 7.5 10.5 16M17 7.5 13.5 16M7.2 6h9.6\"\/><\/svg><\/div><div><div class=\"cname\">PrimeKG<\/div><div class=\"cbadge\">Knowledge graph<\/div><\/div><\/div><div class=\"cdefn\">A multimodal precision-medicine knowledge graph integrating 20 resources to describe 17,080 diseases with 4M+ relationships across genes, drugs, phenotypes and more.<\/div><button class=\"cuse-toggle\">How Livi uses it <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\"><polyline points=\"6 9 12 15 18 9\"\/><\/svg><\/button><div class=\"cuse\"><div class=\"cuse-in\"><div class=\"cuse-box\">Grounds reasoning about diseases, drugs and their biological relationships.<\/div><\/div><\/div><a class=\"ccite\" href=\"https:\/\/zitniklab.hms.harvard.edu\/projects\/PrimeKG\/\" target=\"_blank\" rel=\"noopener\">Chandak P, Huang K, Zitnik M. Scientific Data, 2023. <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><line x1=\"7\" y1=\"17\" x2=\"17\" y2=\"7\"\/><polyline points=\"7 7 17 7 17 17\"\/><\/svg><\/a><\/div><div class=\"card\" data-cat=\"kb\"><div class=\"ctop\"><div class=\"cic graph\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><circle cx=\"5\" cy=\"6\" r=\"2.5\"\/><circle cx=\"19\" cy=\"6\" r=\"2.5\"\/><circle cx=\"12\" cy=\"18\" r=\"2.5\"\/><path d=\"M7 7.5 10.5 16M17 7.5 13.5 16M7.2 6h9.6\"\/><\/svg><\/div><div><div class=\"cname\">Hetionet<\/div><div class=\"cbadge\">Knowledge graph<\/div><\/div><\/div><div class=\"cdefn\">An integrative biomedical &#x27;hetnet&#x27; of 47,000+ nodes and 2.2M+ relationships across genes, diseases, drugs, pathways and anatomy, built for drug-repurposing analysis.<\/div><button class=\"cuse-toggle\">How Livi uses it <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\"><polyline points=\"6 9 12 15 18 9\"\/><\/svg><\/button><div class=\"cuse\"><div class=\"cuse-in\"><div class=\"cuse-box\">Supports reasoning over connections between drugs, genes and diseases.<\/div><\/div><\/div><a class=\"ccite\" href=\"https:\/\/het.io\/\" target=\"_blank\" rel=\"noopener\">Himmelstein DS, et al. eLife, 2017. <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><line x1=\"7\" y1=\"17\" x2=\"17\" y2=\"7\"\/><polyline points=\"7 7 17 7 17 17\"\/><\/svg><\/a><\/div><\/div>\n  <\/div>\n\n  <!-- BENCHMARKS -->\n  <div class=\"panel\" data-p=\"bench\">\n    <p class=\"panel-intro\"><b>Rigorous benchmarks<\/b> validate agents before they reach a patient \u2014 including our own, peer-reviewed evaluations.<\/p>\n    <h3 class=\"subgroup\">Medical knowledge &amp; QA <span class=\"sg-count\">5<\/span><\/h3>\n<div class=\"cards\"><div class=\"card\" data-cat=\"bench\"><div class=\"ctop\"><div class=\"cic bench\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><path d=\"M9 11l3 3L22 4\"\/><path d=\"M21 12v7a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h11\"\/><\/svg><\/div><div><div class=\"cname\">MedQA (USMLE)<\/div><div class=\"cbadge\">Medical QA<\/div><\/div><\/div><div class=\"cdefn\">An open-domain medical QA benchmark built from US Medical Licensing Exam\u2013style questions, testing clinical knowledge and reasoning.<\/div><button class=\"cuse-toggle\">How Livi uses it <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\"><polyline points=\"6 9 12 15 18 9\"\/><\/svg><\/button><div class=\"cuse\"><div class=\"cuse-in\"><div class=\"cuse-box\">Checks an agent&#x27;s core medical knowledge.<\/div><\/div><\/div><a class=\"ccite\" href=\"https:\/\/github.com\/jind11\/MedQA\" target=\"_blank\" rel=\"noopener\">Jin D, et al. 2021. <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><line x1=\"7\" y1=\"17\" x2=\"17\" y2=\"7\"\/><polyline points=\"7 7 17 7 17 17\"\/><\/svg><\/a><\/div><div class=\"card\" data-cat=\"bench\"><div class=\"ctop\"><div class=\"cic bench\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><path d=\"M9 11l3 3L22 4\"\/><path d=\"M21 12v7a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h11\"\/><\/svg><\/div><div><div class=\"cname\">MedMCQA<\/div><div class=\"cbadge\">Medical QA<\/div><\/div><\/div><div class=\"cdefn\">A large-scale (194k) multiple-choice benchmark from Indian medical entrance exams (AIIMS &amp; NEET PG), spanning 21 subjects and 2,400 topics.<\/div><button class=\"cuse-toggle\">How Livi uses it <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\"><polyline points=\"6 9 12 15 18 9\"\/><\/svg><\/button><div class=\"cuse\"><div class=\"cuse-in\"><div class=\"cuse-box\">Stress-tests breadth of medical knowledge across specialties.<\/div><\/div><\/div><a class=\"ccite\" href=\"https:\/\/medmcqa.github.io\/\" target=\"_blank\" rel=\"noopener\">Pal A, Umapathi LK, Sankarasubbu M. CHIL, 2022. <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><line x1=\"7\" y1=\"17\" x2=\"17\" y2=\"7\"\/><polyline points=\"7 7 17 7 17 17\"\/><\/svg><\/a><\/div><div class=\"card\" data-cat=\"bench\"><div class=\"ctop\"><div class=\"cic bench\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><path d=\"M9 11l3 3L22 4\"\/><path d=\"M21 12v7a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h11\"\/><\/svg><\/div><div><div class=\"cname\">PubMedQA<\/div><div class=\"cbadge\">Literature QA<\/div><\/div><\/div><div class=\"cdefn\">A biomedical QA benchmark of research questions answered yes \/ no \/ maybe using the corresponding PubMed abstracts.<\/div><button class=\"cuse-toggle\">How Livi uses it <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\"><polyline points=\"6 9 12 15 18 9\"\/><\/svg><\/button><div class=\"cuse\"><div class=\"cuse-in\"><div class=\"cuse-box\">Tests evidence-grounded reasoning over the literature.<\/div><\/div><\/div><a class=\"ccite\" href=\"https:\/\/pubmedqa.github.io\/\" target=\"_blank\" rel=\"noopener\">Jin Q, et al. EMNLP-IJCNLP, 2019. <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><line x1=\"7\" y1=\"17\" x2=\"17\" y2=\"7\"\/><polyline points=\"7 7 17 7 17 17\"\/><\/svg><\/a><\/div><div class=\"card\" data-cat=\"bench\"><div class=\"ctop\"><div class=\"cic bench\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><path d=\"M9 11l3 3L22 4\"\/><path d=\"M21 12v7a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h11\"\/><\/svg><\/div><div><div class=\"cname\">MMLU \u2014 clinical topics<\/div><div class=\"cbadge\">Knowledge<\/div><\/div><\/div><div class=\"cdefn\">The clinical and biomedical subsets of the Massive Multitask Language Understanding benchmark (clinical knowledge, medical genetics, anatomy, professional medicine).<\/div><button class=\"cuse-toggle\">How Livi uses it <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\"><polyline points=\"6 9 12 15 18 9\"\/><\/svg><\/button><div class=\"cuse\"><div class=\"cuse-in\"><div class=\"cuse-box\">Measures general medical knowledge alongside reasoning.<\/div><\/div><\/div><a class=\"ccite\" href=\"https:\/\/github.com\/hendrycks\/test\" target=\"_blank\" rel=\"noopener\">Hendrycks D, et al. ICLR, 2021. <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><line x1=\"7\" y1=\"17\" x2=\"17\" y2=\"7\"\/><polyline points=\"7 7 17 7 17 17\"\/><\/svg><\/a><\/div><div class=\"card\" data-cat=\"bench\"><div class=\"ctop\"><div class=\"cic bench\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><path d=\"M9 11l3 3L22 4\"\/><path d=\"M21 12v7a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h11\"\/><\/svg><\/div><div><div class=\"cname\">BioASQ<\/div><div class=\"cbadge\">Biomedical QA<\/div><\/div><\/div><div class=\"cdefn\">A long-running challenge for large-scale biomedical semantic indexing and question answering over the biomedical literature.<\/div><button class=\"cuse-toggle\">How Livi uses it <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\"><polyline points=\"6 9 12 15 18 9\"\/><\/svg><\/button><div class=\"cuse\"><div class=\"cuse-in\"><div class=\"cuse-box\">Benchmarks biomedical retrieval and answer quality.<\/div><\/div><\/div><a class=\"ccite\" href=\"http:\/\/www.bioasq.org\/\" target=\"_blank\" rel=\"noopener\">Tsatsaronis G, et al. BMC Bioinformatics, 2015. <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><line x1=\"7\" y1=\"17\" x2=\"17\" y2=\"7\"\/><polyline points=\"7 7 17 7 17 17\"\/><\/svg><\/a><\/div><\/div>\n<h3 class=\"subgroup\">Holistic &amp; conversational evaluation <span class=\"sg-count\">5<\/span><\/h3>\n<div class=\"cards\"><div class=\"card\" data-cat=\"bench\"><div class=\"ctop\"><div class=\"cic bench\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><path d=\"M9 11l3 3L22 4\"\/><path d=\"M21 12v7a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h11\"\/><\/svg><\/div><div><div class=\"cname\">MultiMedQA<\/div><div class=\"cbadge\">Holistic suite<\/div><\/div><\/div><div class=\"cdefn\">A composite benchmark combining several medical QA datasets (MedQA, MedMCQA, PubMedQA, MMLU clinical and consumer questions) with a human-evaluation framework for factuality, harm and bias.<\/div><button class=\"cuse-toggle\">How Livi uses it <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\"><polyline points=\"6 9 12 15 18 9\"\/><\/svg><\/button><div class=\"cuse\"><div class=\"cuse-in\"><div class=\"cuse-box\">Provides a holistic view of medical accuracy and safety.<\/div><\/div><\/div><a class=\"ccite\" href=\"https:\/\/www.nature.com\/articles\/s41586-023-06291-2\" target=\"_blank\" rel=\"noopener\">Singhal K, et al. Nature, 2023. <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><line x1=\"7\" y1=\"17\" x2=\"17\" y2=\"7\"\/><polyline points=\"7 7 17 7 17 17\"\/><\/svg><\/a><\/div><div class=\"card\" data-cat=\"bench\"><div class=\"ctop\"><div class=\"cic bench\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><path d=\"M9 11l3 3L22 4\"\/><path d=\"M21 12v7a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h11\"\/><\/svg><\/div><div><div class=\"cname\">OpenAI HealthBench<\/div><div class=\"cbadge\">Conversational<\/div><\/div><\/div><div class=\"cdefn\">An open-source benchmark of 5,000 realistic, multi-turn health conversations graded with rubrics authored by 262 physicians across 60 countries.<\/div><button class=\"cuse-toggle\">How Livi uses it <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\"><polyline points=\"6 9 12 15 18 9\"\/><\/svg><\/button><div class=\"cuse\"><div class=\"cuse-in\"><div class=\"cuse-box\">Measures agent accuracy, safety and communication against a physician-defined standard.<\/div><\/div><\/div><a class=\"ccite\" href=\"https:\/\/openai.com\/index\/healthbench\/\" target=\"_blank\" rel=\"noopener\">Arora RK, et al. OpenAI, 2025. <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><line x1=\"7\" y1=\"17\" x2=\"17\" y2=\"7\"\/><polyline points=\"7 7 17 7 17 17\"\/><\/svg><\/a><\/div><div class=\"card ours\" data-cat=\"bench\"><div class=\"ctop\"><div class=\"cic bench\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><path d=\"M9 11l3 3L22 4\"\/><path d=\"M21 12v7a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h11\"\/><\/svg><\/div><div><div class=\"cname\">Foundation Metrics<\/div><div class=\"cbadge\">Ours \u00b7 Metrics<\/div><\/div><\/div><div class=\"cdefn\">A unified set of evaluation metrics for healthcare conversational AI \u2014 spanning accuracy, trustworthiness, empathy and user-centered quality \u2014 developed by our team.<\/div><button class=\"cuse-toggle\">How Livi uses it <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\"><polyline points=\"6 9 12 15 18 9\"\/><\/svg><\/button><div class=\"cuse\"><div class=\"cuse-in\"><div class=\"cuse-box\">Defines the dimensions Livi scores agents on.<\/div><\/div><\/div><a class=\"ccite\" href=\"https:\/\/www.nature.com\/articles\/s41746-024-01074-z\" target=\"_blank\" rel=\"noopener\">Abbasian M, et al. npj Digital Medicine, 2024. <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><line x1=\"7\" y1=\"17\" x2=\"17\" y2=\"7\"\/><polyline points=\"7 7 17 7 17 17\"\/><\/svg><\/a><\/div><div class=\"card ours\" data-cat=\"bench\"><div class=\"ctop\"><div class=\"cic bench\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><path d=\"M9 11l3 3L22 4\"\/><path d=\"M21 12v7a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h11\"\/><\/svg><\/div><div><div class=\"cname\">Livi \u00b7 openCHA<\/div><div class=\"cbadge\">Ours \u00b7 Clinical<\/div><\/div><\/div><div class=\"cdefn\">Our clinical-agent benchmarks built on the open-source openCHA framework, including Type 2 Diabetes management.<\/div><button class=\"cuse-toggle\">How Livi uses it <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\"><polyline points=\"6 9 12 15 18 9\"\/><\/svg><\/button><div class=\"cuse\"><div class=\"cuse-in\"><div class=\"cuse-box\">On T2D management, openCHA scored 92.1% accuracy vs GPT-4&#x27;s 51.8% \u2014 the validated baseline Livi builds on.<\/div><\/div><\/div><a class=\"ccite\" href=\"https:\/\/academic.oup.com\/jamiaopen\/article\/8\/4\/ooaf067\" target=\"_blank\" rel=\"noopener\">Abbasian M, et al. JAMIA Open, 2025. <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><line x1=\"7\" y1=\"17\" x2=\"17\" y2=\"7\"\/><polyline points=\"7 7 17 7 17 17\"\/><\/svg><\/a><\/div><div class=\"card ours\" data-cat=\"bench\"><div class=\"ctop\"><div class=\"cic bench\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><path d=\"M9 11l3 3L22 4\"\/><path d=\"M21 12v7a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h11\"\/><\/svg><\/div><div><div class=\"cname\">RD Exam (Nutrition)<\/div><div class=\"cbadge\">Ours \u00b7 Nutrition eval<\/div><\/div><\/div><div class=\"cdefn\">A nutrition-domain benchmark that evaluates leading LLMs on 1,050 Registered Dietitian (RD) licensing-exam questions, measuring accuracy and consistency across prompt-engineering and knowledge-retrieval techniques.<\/div><button class=\"cuse-toggle\">How Livi uses it <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\"><polyline points=\"6 9 12 15 18 9\"\/><\/svg><\/button><div class=\"cuse\"><div class=\"cuse-in\"><div class=\"cuse-box\">Validates nutrition and diet agents for accuracy and consistency before they reach users.<\/div><\/div><\/div><a class=\"ccite\" href=\"https:\/\/www.nature.com\/articles\/s41598-024-85003-w\" target=\"_blank\" rel=\"noopener\">Azimi I, et al. Scientific Reports, 2025. <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><line x1=\"7\" y1=\"17\" x2=\"17\" y2=\"7\"\/><polyline points=\"7 7 17 7 17 17\"\/><\/svg><\/a><\/div><\/div>\n  <\/div>\n<\/div>\n\n<\/div>\n\n<script>\n(function(){\nvar root=document.getElementById('livi-eco');\nif(!root)return;\n\nvar tabs=root.querySelectorAll('.tab'),panels=root.querySelectorAll('.panel');\nvar order=['data','kb','bench'],DELAY=5000,timer=null,idx=0;\n\nfunction activate(name){\n  tabs.forEach(function(x){x.classList.toggle('active',x.dataset.t===name);});\n  panels.forEach(function(p){p.classList.toggle('active',p.dataset.p===name);});\n}\nfunction syncIdx(){\n  var cur=root.querySelector('.tab.active');\n  idx=Math.max(0,order.indexOf(cur?cur.dataset.t:'data'));\n}\nfunction advance(){ idx=(idx+1)%order.length; activate(order[idx]); }\nfunction start(){ if(!timer){ syncIdx(); timer=setInterval(advance,DELAY); } }\nfunction stop(){ if(timer){ clearInterval(timer); timer=null; } }\n\n\/* manual click: switch + scroll + reset the auto timer *\/\ntabs.forEach(function(t){t.addEventListener('click',function(){\n  activate(t.dataset.t);\n  stop(); start();\n  window.scrollTo({top:root.querySelector('.tabs').offsetTop-20,behavior:'smooth'});\n});});\n\n\/* pause the rotation while the user is on the section *\/\nroot.addEventListener('mouseenter',stop);\nroot.addEventListener('mouseleave',start);\n\nstart();\n\n\/* expand \"how Livi uses it\" *\/\nroot.querySelectorAll('.cuse-toggle').forEach(function(b){\n  b.addEventListener('click',function(){ b.closest('.card').classList.toggle('open'); });\n});\n\n})();\n<\/script>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>What powers Livi Data, knowledge &amp; benchmarks Every Livi agent is personalized with real-world data, grounded in trusted clinical and nutrition knowledge, and validated against rigorous, peer-reviewed benchmarks. Here&#8217;s the full ecosystem. Data 1 Knowledge Bases 11 Benchmarks 10 Real-world data brings personalization into every conversation \u2014 streamed in live through our data partner. \u2605 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-2352","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/liviagents.ai\/index.php\/wp-json\/wp\/v2\/pages\/2352","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/liviagents.ai\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/liviagents.ai\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/liviagents.ai\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/liviagents.ai\/index.php\/wp-json\/wp\/v2\/comments?post=2352"}],"version-history":[{"count":24,"href":"https:\/\/liviagents.ai\/index.php\/wp-json\/wp\/v2\/pages\/2352\/revisions"}],"predecessor-version":[{"id":2961,"href":"https:\/\/liviagents.ai\/index.php\/wp-json\/wp\/v2\/pages\/2352\/revisions\/2961"}],"wp:attachment":[{"href":"https:\/\/liviagents.ai\/index.php\/wp-json\/wp\/v2\/media?parent=2352"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}