Healthcare AI Companies

Tempus AI

Chicago, United States

Tempus provides a platform combining comprehensive clinical and molecular data with artificial intelligence, primarily serving the oncology space. Their core offering is an operating system built upon the world’s largest library of such data, enhanced by recent advancements in generative AI like their clinical co-pilot, David, and digital pathology capabilities acquired through Paige. Tempus targets physicians, pharmaceutical companies, and patients seeking data-driven insights to improve cancer treatment decisions and accelerate drug development.

Babylon Health

London, United Kingdom

Babylon Health develops a platform offering AI-powered triage, remote consultations, and diagnostic tools, most notably through its Babylon 360 and GP at Hand services. Their core AI capabilities center on a deep learning system trained on millions of medical records to provide preliminary symptom assessment and risk prediction, alongside automated appointment scheduling and clinical note summarization. Initially focused on the UK’s National Health Service and direct-to-consumer offerings, Babylon has expanded internationally and achieved notable partnerships to deploy its technology in Rwanda and Canada, aiming to increase access to primary care.

Xaira Therapeutics

San Francisco, United States

Xaira Therapeutics is building a generative AI platform focused on de novo protein design and drug candidate creation, leveraging advancements from the technology behind AlphaFold. The company’s core innovation lies in applying AI to not just predict protein structures, but to generate novel protein therapeutics with optimized properties for a range of diseases. Backed by a $1 billion Series A funding round, Xaira Therapeutics aims to accelerate drug discovery beyond traditional methods and is initially focusing on developing therapeutics for currently undruggable targets.

Freenome

South San Francisco, United States

Freenome develops a blood-based, multiomics screening platform designed for early cancer detection, utilizing both genomic and proteomic biomarkers. Their core technology employs machine learning algorithms to analyze complex patterns in blood samples, aiming to detect cancer signals prior to symptom onset and improve screening accessibility. Currently focused on colorectal cancer with their CRC-DETECT test, Freenome is conducting clinical trials to validate performance and expand their platform to detect multiple cancer types, with a goal of increasing survival rates through earlier diagnosis.

Insitro

South San Francisco, United States

Insitro leverages high-throughput phenotypic screening and machine learning to build predictive models of human biology, focusing initially on diseases like NASH and heart failure. Their platform combines large-scale experimental data – including cellular assays and human genetic data – with proprietary machine learning algorithms to identify and validate drug targets and predict clinical trial success. Notably, Insitro has established collaborations with pharmaceutical companies like Bristol Myers Squibb and Roche to apply their technology to specific disease areas and advance novel therapeutics.

Collective Health

San Francisco, United States

Collective Health is a technology-enabled third-party administrator (TPA) that integrates and optimizes employee health benefits administration for self-funded employers. Their platform utilizes data analytics and AI-driven personalization to connect medical, pharmacy, and ancillary benefits into a single, user-friendly experience. This solution aims to reduce administrative costs and improve member engagement by providing a simplified and connected benefits journey for employers and their employees.

Zipline

South San Francisco, United States

Zipline Rwanda operates an autonomous drone delivery service focused on rapidly distributing critical medical supplies, including blood and vaccines, to remote and underserved healthcare facilities. Their core technology is a fully integrated platform encompassing drone aircraft, automated logistics software, and a proprietary demand forecasting system to optimize inventory and delivery routes. Targeting the healthcare sector and governments in regions with challenging infrastructure, Zipline provides instant, reliable access to essential medical products, reducing delivery times and improving health outcomes.

Butterfly Network

Burlington, United States

Butterfly Network develops handheld, whole-body ultrasound devices integrated with AI-powered software for point-of-care imaging. Their flagship product, the Butterfly iQ3, utilizes a single probe to deliver diagnostic imaging across a wide range of clinical applications. Butterfly Network serves diverse markets including individual medical practices, large healthcare systems, and medical education programs, offering a portable and accessible alternative to traditional ultrasound technology.

Alan

Paris, France

Alan is a French digital health insurance provider leveraging AI-powered automation to streamline claims processing and enhance preventative healthcare services. Their core offering is a full-stack health insurance platform designed for SMEs and individuals, integrating insurance, preventative care, and telemedicine features. Alan differentiates itself by focusing on a proactive, data-driven approach to employee wellbeing and simplified administrative processes for businesses.

Omada Health

San Francisco, United States

Omada Health delivers virtual chronic disease management programs focused on behavior change interventions for conditions like diabetes, hypertension, and mental health. Their core offering utilizes AI-powered personalization to adapt program content and coaching based on individual member data and progress, delivered through a mobile app and connected devices. Omada targets health plans and employers seeking cost-effective, accessible chronic care solutions, often offered at no cost to members through benefit programs.

HeartFlow

Redwood City, United States

HeartFlow is a US-based medical technology company that leverages AI to improve the diagnosis and management of coronary artery disease (CAD). Their primary product utilizes AI analysis of standard Coronary Computed Tomography Angiography (CCTA) scans to create a personalized 3D model of the patient’s coronary arteries, assessing both anatomy and blood flow. This technology is targeted towards cardiologists and healthcare systems seeking to reduce false positives/negatives in CAD diagnosis and enable more informed, patient-specific treatment decisions.

DocPlanner

Warsaw, Poland

DocPlanner operates a healthcare marketplace connecting patients with physicians across 14 countries, primarily in Latin America and Europe. Their core offering leverages AI-powered search and matching algorithms to facilitate online appointment booking and optimize physician discovery based on specialty and location. DocPlanner targets both patients seeking convenient access to care and doctors aiming to enhance practice management and online visibility, ultimately striving to scale access to healthcare services globally.

Spring Health

New York, United States

Spring Health is a U.S.-based healthcare company that provides comprehensive mental healthcare solutions to employers and organizations. Their core offering utilizes a proprietary AI-powered platform to rapidly match individuals with the most appropriate mental health professionals and care pathways. By leveraging data-driven insights and a “Continuous Care” model, Spring Health aims to improve clinical outcomes while demonstrating a measurable return on investment for client organizations through reduced healthcare costs.

Vuno

Seoul, South Korea

Vuno is a South Korean medical AI company specializing in the analysis of medical images, particularly in radiology. Their core product is a suite of AI-powered software designed to detect and quantify clinically relevant findings in chest X-rays and CT scans, aiding in the diagnosis of conditions like tuberculosis, lung cancer, and COVID-19. Vuno targets hospitals and diagnostic centers, offering tools to improve the accuracy and efficiency of image-based diagnoses and facilitate biomarker discovery.

Biofourmis

Boston, United States

Biofourmis is a digital health company that provides an end-to-end platform for AI-driven remote patient monitoring and care delivery. Their core technology utilizes wearable biosensors and machine learning algorithms to detect early signs of deterioration and enable proactive interventions. Biofourmis partners with health systems, payers, and life science companies to improve clinical outcomes, reduce costs, and expand access to care, particularly for patients transitioning between care settings and participating in clinical trials.

Insilico Medicine

Hong Kong, Hong Kong

Insilico Medicine is a Hong Kong-based biotechnology company applying generative AI to accelerate the discovery and development of novel therapeutics. Their core technology is Pharma.AI, an end-to-end platform utilizing deep learning for target identification, molecule generation, and clinical trial prediction. Insilico Medicine focuses on discovering drugs for age-related diseases and extending healthy longevity, aiming to reduce the time and cost associated with traditional pharmaceutical R&D.

Yitu Technology

Shanghai, China

Yitu Technology is a Chinese AI company specializing in computer vision and deep learning solutions. Their core product is a suite of AI algorithms and platforms focused on facial recognition, object detection, and medical image analysis. Yitu primarily serves the Chinese public safety sector and healthcare providers, offering solutions for surveillance, identity verification, and diagnostic assistance.

Valo Health

Boston, United States

Valo Health is a U.S.-based company applying artificial intelligence to accelerate pharmaceutical drug discovery and development. Their core product is the Opal Computational Platform™, which integrates machine learning with extensive human tissue and patient data to identify and advance potential drug candidates. Valo targets the pharmaceutical industry by offering a technology platform designed to reduce the time and cost associated with bringing novel therapies to market.

Innovaccer

San Francisco, United States

Innovaccer provides a unified, AI-enabled data platform specifically for healthcare organizations. Their “AI Cloud” leverages machine learning to integrate disparate healthcare data sources, enabling improved care management, performance analysis, and ultimately, measurable improvements in patient outcomes. Innovaccer targets healthcare providers and payers seeking to optimize operations and enhance clinical and financial performance through data-driven insights.

Neuralink

Fremont, United States

Neuralink is a US-based neurotechnology company developing fully-implantable, high-bandwidth brain-computer interfaces (BCIs). Their primary product is the N1 chip, designed to record and stimulate brain activity with the goal of enabling control of external devices and ultimately restoring function for individuals with paralysis or neurological conditions. While initially focused on medical applications, Neuralink aims to create a generalized BCI platform with long-term potential for broader human-computer interaction.

PathAI

Boston, United States

PathAI builds AI-powered image analysis tools specifically for pathology, offering products like their FDA Breakthrough Device designated algorithm for detecting minimal residual disease in breast cancer and their coreDSP platform for digital pathology workflow optimization. Their key innovation lies in applying deep learning to whole slide images, enabling more accurate and reproducible diagnosis, biomarker identification, and patient stratification in clinical trials. PathAI partners with leading pharmaceutical companies like Bristol Myers Squibb and Roche, and has secured over $200 million in funding to accelerate drug development and improve cancer diagnosis.

Exo Imaging

Santa Clara, United States

Exo Imaging develops a compact, handheld ultrasound system – the Exo H1 – coupled with AI-powered workflow tools designed to democratize point-of-care ultrasound (POCUS). Their technology utilizes real-time AI to automate key tasks such as anatomy labeling, standardized view capture, and precise measurements, even functioning offline. This system aims to simplify ultrasound adoption and improve diagnostic confidence for a broad range of healthcare providers, and has been designed to replace traditional, large-scale ultrasound carts and probes.

Owkin

Paris, France

Owkin is a French AI company focused on accelerating drug discovery and precision medicine through advanced analysis of complex biological data. Their core product, the K PRO platform, utilizes agentic AI – a system of autonomous AI agents – to uncover causal relationships within multimodal patient data sourced from leading research institutions. Owkin serves pharmaceutical companies and academic researchers seeking to improve R&D efficiency and identify novel therapeutic targets by leveraging AI-driven insights beyond traditional analytical methods.

Cerebral

San Francisco, United States

Cerebral is a U.S.-based telehealth company delivering virtual mental healthcare services, including therapy and medication management. Their platform leverages AI-driven diagnostic tools and data analysis to personalize treatment plans for conditions like anxiety, depression, and insomnia. Cerebral targets individuals seeking accessible and convenient mental healthcare solutions outside of traditional in-person settings.

Maven Clinic

New York, United States

Maven Clinic is a virtual care platform providing comprehensive women’s and family health support to employers and health plans. Utilizing a data-driven approach and on-demand access to specialists – including reproductive endocrinologists and mental health providers – Maven aims to improve health outcomes and reduce costs associated with fertility, pregnancy, and postpartum care. Their core value proposition centers on proactive, personalized support throughout all paths to parenthood, ultimately driving employee retention and lowering healthcare expenditures for organizations.

Color Health

Burlingame, United States

Color Health provides integrated virtual cancer care programs for employers and health plans, focusing on early detection, treatment guidance, and ongoing support. Their core offering utilizes AI-driven risk assessment to improve screening adherence and accelerate diagnosis, coupled with a nationally licensed in-house medical team providing direct care. This comprehensive approach aims to shift cancer diagnoses to earlier, more treatable stages, ultimately improving outcomes and reducing healthcare costs for covered populations.

K Health

New York, United States

K Health is a U.S.-based healthcare company delivering virtual primary care services enhanced by an AI-powered diagnostic and intake tool. Their core technology leverages a large dataset of medical information to provide preliminary assessments and insights to clinicians, facilitating more efficient and data-driven patient consultations. K Health targets health systems and individuals seeking accessible, 24/7 primary care that integrates with existing in-person care networks to address access and continuity challenges.

Viz.ai

San Francisco, United States

Viz.ai is an AI-powered care coordination platform specializing in the automated detection and analysis of acute medical conditions. Their core technology utilizes over 50 FDA-cleared algorithms to analyze medical imaging – including CT scans and EKGs – and rapidly identify suspected stroke and other time-sensitive diseases. Viz.ai targets hospitals and health systems, aiming to accelerate diagnosis, optimize clinical workflows, and improve patient outcomes through faster treatment decisions.

Aidoc

Tel Aviv, Israel

Aidoc develops AI-powered clinical decision support software for medical imaging analysis. Their core product utilizes deep learning to flag time-critical anomalies in CT scans, MRIs, and X-rays, prioritizing urgent cases for radiologists. Targeting hospitals and radiology groups, Aidoc aims to improve diagnostic accuracy and accelerate care for patients with acute conditions like stroke, pulmonary embolism, and intracranial hemorrhage.

MindMaze

Lausanne, Switzerland

MindMaze combines neuroscience, AI, and immersive computing to build digital therapeutics and brain-machine-interface platforms for neurological recovery and healthcare. It is headquartered in Switzerland.

Betterfly

Santiago, Chile

Betterfly is a Chilean InsurTech company providing a digital platform that integrates personalized insurance with employee wellness programs. Their core technology utilizes AI to tailor benefit selections – including health insurance and gift card rewards – based on individual employee habits and preferences. Betterfly targets employers seeking to improve employee wellbeing and engagement through flexible, data-driven benefits packages.

Cleerly

New York, United States

Cleerly develops AI-powered software that analyzes cardiac CT scans to quantify and characterize coronary artery disease, including both calcified and non-calcified plaque. Their platform provides a detailed “Cleerly Score” assessing overall cardiac risk, moving beyond traditional stenosis-based assessments. This technology targets cardiologists and health systems seeking more precise and comprehensive early detection of heart disease to enable preventative interventions.

Paige AI

New York, United States

Paige AI develops AI-powered tools for pathology, focusing on improving cancer diagnosis and biomarker discovery. Their core technology leverages large foundation models trained on vast pathology datasets to assist pathologists in detecting cancer, subtyping tumors, and identifying molecular markers directly from tissue samples. Paige targets pathology labs and healthcare providers, aiming to increase diagnostic accuracy and efficiency while alleviating workload pressures.

Ada Health

Berlin, Germany

Ada Health develops a mobile application and enterprise solutions leveraging a sophisticated knowledge base and machine learning algorithms to provide personalized symptom assessment and health guidance. Their core technology utilizes a differential diagnosis engine informed by a constantly updated medical library and is capable of assessing over 1,100 conditions. Ada Health serves both individual consumers seeking self-assessment and healthcare providers aiming to improve patient triage and clinical workflows, and has demonstrated success in partnerships with organizations like Babylon and Winterlight Labs to expand access to virtual care.

Terray Therapeutics

Pasadena, United States

Terray Therapeutics combines high-throughput chemistry with machine learning to design small-molecule drugs, generating large proprietary datasets to train its models for drug discovery.

OpenEvidence

Cambridge, United States

OpenEvidence develops a search and knowledge platform delivering concise, evidence-based answers to clinical questions for healthcare professionals. Their core technology utilizes AI to synthesize information from leading peer-reviewed medical publications like NEJM, JAMA, and NCCN guidelines. Currently focused on the US market, OpenEvidence positions itself as an authoritative medical resource, though availability is limited due to European regulatory concerns surrounding AI systems.

BPGbio

Framingham, United States

BPGbio is a biotechnology company that applies AI and causal machine learning to biological data to discover drugs and biomarkers across oncology, neurology, and rare diseases.

Nference

Cambridge, United States

Nference is a U.S.-based company that leverages agentic AI to unlock insights from diverse, real-world clinical data sources – including radiology images, ECGs, and digitized pathology slides – linked to patient records. Their core technology utilizes multimodal AI agents to analyze this data, enabling accelerated biomedical research and the development of personalized care pathways. Nference targets pharmaceutical companies, research institutions, and healthcare providers seeking to improve drug discovery and patient outcomes through data-driven insights.

BioAge Labs

Richmond, United States

BioAge Labs is a US-based biotechnology company focused on developing therapeutics for cardiometabolic diseases by targeting the biological processes of aging. Their core technology is a human-first discovery platform that leverages decades of proprietary multi-omics data to identify and validate novel aging-related drug targets. Currently, BioAge is advancing BGE-102, a program targeting chronic inflammation, and a preclinical apelin receptor agonist with potential for significant weight loss, both aimed at addressing age-related metabolic dysfunction.

Atomwise

San Francisco, United States

Atomwise develops a deep learning platform, leveraging convolutional neural networks to predict the binding affinity of small molecules to proteins – accelerating the identification of potential drug candidates. Their AI superplatform virtually screens trillions of compounds, identifying novel molecules with potential in areas like immune and inflammatory diseases, and has resulted in multiple programs advancing towards clinical development. Notably, Atomwise has partnered with organizations like the National Institutes of Health and has demonstrated success in repurposing existing drugs for new applications, including identifying potential treatments for Ebola and COVID-19.

Suki AI

Redwood City, United States

Suki AI develops an ambient clinical intelligence platform that utilizes voice AI and natural language processing to automate clinical documentation workflows. Their technology captures and analyzes patient-physician conversations to generate comprehensive notes, orders, and instructions directly within existing Electronic Health Record (EHR) systems. Suki AI targets healthcare providers and organizations seeking to reduce administrative burden, improve physician burnout, and enhance revenue cycle management through streamlined documentation processes.

EightSleep

New York, United States

EightSleep develops the Pod, an AI-powered mattress cover that utilizes active temperature regulation and biometric monitoring to optimize sleep performance. The Pod tracks metrics like heart rate variability, respiratory rate, and sleep stages, dynamically adjusting temperature on each side of the bed for personalized comfort. Targeting consumers seeking data-driven sleep improvement and enhanced recovery, EightSleep offers a non-invasive solution compatible with existing mattresses.

Iterative Health

Cambridge, United States

Iterative Health is a U.S.-based healthcare technology company focused on improving efficiency and access within gastroenterology clinical research. They offer an AI-powered platform that optimizes clinical trial operations – including patient identification and enrollment – for both research sites and pharmaceutical sponsors. Their core value proposition lies in accelerating clinical trials and expanding patient access to novel GI therapeutics through a network of partnered GI and Hepatology practices.

Oura

Oulu, Finland

Oura is a Finnish health technology company specializing in a smart ring wearable that tracks key physiological data. Utilizing sensor data and AI-powered algorithms, the Oura Ring continuously monitors metrics like sleep stages, activity levels, and heart rate variability to provide users with personalized health insights. Oura targets health-conscious individuals seeking proactive, data-driven approaches to wellness and recovery, offering a discreet and comfortable alternative to traditional wrist-worn trackers.

Verge Genomics

San Francisco, United States

Verge Genomics has developed CONVERGE®, an AI-powered drug discovery platform utilizing a large, proprietary human multi-omics database to identify and validate drug candidates for neurodegenerative diseases. Their platform leverages machine learning to analyze human tissue data, enabling the rapid identification of novel targets and accelerating drug development – most notably, their lead compound VRG50635, a PIKfyve inhibitor for ALS, entered clinical trials just four years after initial research. Currently focused on ALS, Parkinson’s Disease, and Frontotemporal Dementia, Verge aims to deliver breakthrough treatments for diseases with limited or no effective therapies.

OrCam

Jerusalem, Israel

OrCam develops AI-powered wearable assistive technology for individuals with visual impairments and reading difficulties. Their core product is a handheld and wearable device that utilizes computer vision and natural language processing to instantly read text, recognize faces, and identify objects in the user’s environment. OrCam directly serves end-users and partners with distributors like Optelec to provide accessibility solutions in key markets like the UK and Ireland.

Harrison.ai

Sydney, Australia

Harrison.ai is an Australian company developing AI-powered decision-support tools for medical imaging analysis. Their core technology rapidly analyzes chest X-rays, CT scans (head & chest), detecting over 100 radiological features to assist clinicians in faster and more accurate diagnoses. Currently deployed at over 1,000 healthcare sites globally, Harrison.ai targets radiology departments and healthcare providers seeking to improve diagnostic efficiency and patient outcomes.

Eko Health

Oakland, United States

Eko Health develops digital stethoscopes integrated with machine learning algorithms for enhanced cardiac and pulmonary auscultation. Their core product utilizes AI to detect heart murmurs and structural heart disease with greater accuracy, assisting clinicians in early and accurate diagnosis. Eko targets cardiologists, primary care physicians, and other healthcare providers seeking to improve cardiovascular disease detection and streamline patient care through digital health tools.

Imagen Technologies

New York, United States

Imagen Technologies is a U.S.-based provider of diagnostic imaging services enhanced by proprietary, FDA-cleared AI algorithms. They partner with independent practices, hospitals, and health systems to deliver rapid, sub-specialized image analysis and reporting, focusing on improved accuracy and turnaround times. Imagen differentiates itself by offering a complete, AI-enabled solution – including equipment, clinicians, and analytics – aimed at enhancing both patient care and value-based care initiatives for payers and providers.

Woebot Health

San Francisco, United States

Woebot Health develops AI-powered mental health tools, primarily a conversational chatbot delivering evidence-based therapy techniques like Cognitive Behavioral Therapy (CBT). Utilizing natural language processing, Woebot provides accessible, on-demand support to individuals experiencing mental health challenges, aiming to address limitations in traditional care access and affordability. The company targets a broad market of individuals seeking proactive mental wellness support and scalable solutions for common conditions like anxiety and depression.

Aqemia

Paris, France

Aqemia is a Paris-based drug-discovery company that combines generative AI with quantum-inspired physics algorithms to design new drug candidates faster than conventional methods. A spin-out of Ecole Normale Superieure, it has partnerships with Sanofi, Servier, and Johnson & Johnson.

Cohere Health

Boston, United States

Cohere Health applies generative AI to automate and streamline the prior authorization process for healthcare payers and providers. Their platform utilizes clinically-trained large language models to reduce administrative burden and improve collaboration around utilization management. Cohere Health targets health plans and provider groups seeking to improve efficiency, reduce costs, and accelerate patient access to care by optimizing payment integrity.

Healx

Cambridge, United Kingdom

Healx is a UK-based company applying artificial intelligence to accelerate drug discovery for rare diseases. Their core technology utilizes AI-driven drug repurposing – identifying and developing existing compounds for new applications – to build a pipeline of potential therapies. Healx focuses on addressing the 90% of rare diseases lacking treatment by de-risking the drug development process and efficiently scaling programs for conditions with limited patient populations.

Ambience Healthcare

San Francisco, United States

Ambience Healthcare provides an AI-powered platform that automates clinical documentation and coding for U.S. healthcare systems. Utilizing natural language processing and speech recognition, the platform generates structured data from patient encounters, reducing administrative burden on clinicians. Ambience targets health systems seeking to improve revenue cycle management, ensure compliance, and allow physicians to focus on patient care rather than documentation.

Notable Health

San Mateo, United States

Notable Health develops AI-powered agents that automate administrative and clinical workflows for healthcare systems. Their core technology centers on generative AI and large language models to handle tasks across the patient access, revenue cycle, and care coordination processes. Notable Health currently serves a growing network of leading health systems, demonstrating early success in improving operational efficiency and financial outcomes.

Qure.ai

Mumbai, India

Qure.ai develops and deploys artificial intelligence solutions for radiology, focusing on automated interpretation of medical images like chest X-rays and CT scans. Their technology aids in the early detection of conditions such as tuberculosis and lung cancer, with a particular emphasis on deployment in resource-constrained environments. As the world’s most adopted healthcare AI, Qure.ai targets healthcare providers and networks seeking to improve diagnostic accuracy and access to care, particularly in emerging markets.

Overjet

Boston, United States

Overjet provides an FDA-cleared AI platform for dental professionals and insurance providers that automatically analyzes radiographic images to detect and outline dental disease and anatomy. Their core technology streamlines administrative tasks like insurance verification and enhances diagnostic accuracy, ultimately improving patient care and case acceptance rates. Overjet primarily serves Dental Service Organizations (DSOs), dental groups, individual dentists, and health plans seeking to integrate AI-powered clinical intelligence into their workflows.

Castor

Amsterdam, Netherlands

Castor is a Netherlands-based technology company providing a unified electronic clinical data management system (CDMS) for the healthcare and life sciences industries. Their platform integrates electronic data capture (EDC), eConsent, ePRO, and other essential tools to streamline clinical trial workflows and facilitate both traditional and decentralized trial designs. Castor targets academic researchers, medical device companies, and pharmaceutical organizations seeking a cost-effective, self-service solution to manage clinical trial data from initial study build through analysis.

mPharma

Accra, Ghana

mPharma tackles pharmaceutical access challenges in Africa through its data-driven inventory management platform, LittlemPharma, and innovative financing solutions. Utilizing AI-powered demand forecasting, they optimize the supply chain for hospitals and pharmacies, reducing stockouts and lowering medicine costs – a key component of their “EasyPay” access program for patients. Recognized with a Skoll Award for Social Entrepreneurship, mPharma currently operates across Ghana, Nigeria, Zambia, and Kenya, demonstrating a scalable model for improving healthcare access across the continent.

Corti

Copenhagen, Denmark

Corti is a Danish AI infrastructure provider specializing in healthcare applications. Their core product is a highly accurate medical Automatic Speech Recognition (ASR) API that converts clinical conversations into structured data and documentation. Corti targets healthcare developers and providers seeking to rapidly build and deploy voice-enabled workflows – such as automated note-taking, report generation, and point-of-care support – without managing complex AI infrastructure.

Rad AI

Berkeley, United States

Rad AI develops AI-powered software solutions to improve radiology workflow efficiency and reduce radiologist burnout. Their primary products, Rad AI Impressions and Rad AI Continuity, utilize natural language processing to automatically generate customized radiology reports and comprehensively manage incidental findings, respectively. Rad AI targets radiology groups and hospitals seeking to streamline reporting, enhance patient follow-up rates, and mitigate liability associated with unaddressed findings.

Lifebit

London, United Kingdom

Lifebit provides a data intelligence platform specializing in federated genomic and health data analysis for biomedical research. Their core technology is a federated lakehouse enabling secure, cross-institutional data access and analysis without requiring data transfer. Lifebit targets research organizations and healthcare institutions seeking to accelerate precision medicine discoveries while maintaining data privacy and compliance.

Genesis Therapeutics

Burlingame, United States

Genesis Therapeutics is a U.S.-based biotech company focused on de novo drug design for previously intractable protein targets. Their core technology is GEMS, a proprietary molecular AI platform integrating AI and physics-based modeling to generate highly potent and selective drug candidates. Genesis Therapeutics targets pharmaceutical companies and research institutions seeking to accelerate discovery for complex targets that have historically proven difficult to address with traditional methods.

Arterys

San Francisco, United States

Arterys is a U.S.-based medical imaging company offering a cloud-native AI platform for cardiology and oncology. Their core technology utilizes deep learning algorithms to analyze radiology scans, providing physicians with quantitative insights and aiding in diagnosis and treatment planning. Through a recent integration with Tempus, Arterys expands access to imaging data for both clinical care and pharmaceutical research, targeting healthcare providers and drug development companies seeking to improve precision medicine.

Zebra Medical Vision

Kibbutz Shefayim, Israel

Zebra Medical Vision develops AI-based diagnostic tools for medical imaging, specifically focusing on automated detection of acute and chronic conditions in CT scans and X-rays. Their core technology utilizes deep learning algorithms to identify clinical findings, providing radiologists with a secondary read to improve accuracy and efficiency. Targeting hospitals and imaging centers, Zebra Medical Vision aims to reduce diagnostic errors and improve patient outcomes through scalable, AI-powered image analysis.

Infinitus Systems

San Francisco, United States

Infinitus Systems develops a voice AI platform that automates administrative and clinical phone calls for U.S. healthcare providers and payers. Their technology specifically addresses time-consuming tasks like prior authorization and routine patient communication, utilizing AI agents to handle calls without human intervention. This solution aims to reduce administrative burden, improve staff productivity, and ultimately enhance patient outcomes within the healthcare system.

AIRS Medical

Seoul, South Korea

AIRS Medical is a South Korean company specializing in AI-powered medical imaging solutions for accelerated MRI scans. Their core product, SwiftMR™, utilizes deep learning-based image reconstruction to significantly reduce scan times while maintaining diagnostic image quality, as demonstrated by wins in the 2019 & 2020 Facebook/NYU Langone Health fastMRI Challenges. AIRS Medical targets radiology practices and healthcare providers seeking to improve MRI efficiency, reduce patient wait times, and enhance diagnostic capabilities, particularly in neurological applications like epilepsy detection.

Theator

Palo Alto, Israel

Theator is an Israeli company developing a surgical intelligence platform that utilizes proprietary computer vision and machine learning algorithms to analyze surgical video in real-time. Their technology provides data-driven insights to hospitals and surgical teams, aiming to improve procedural performance and standardize care. Theator targets the healthcare market by offering a tool for objective surgical assessment and continuous improvement initiatives.

Mendel AI

San Francisco, United States

Mendel AI develops a data extraction and harmonization platform, specifically their Atlas technology, which leverages Natural Language Processing (NLP) and machine learning to convert unstructured clinical notes into structured, research-grade real-world evidence (RWE). Their platform uniquely focuses on deep phenotyping, enabling the identification of complex patient cohorts with greater precision than traditional methods – demonstrated by their work in accelerating research for conditions like Amyotrophic Lateral Sclerosis (ALS). Mendel AI serves pharmaceutical companies, biotech firms, and academic medical centers seeking to generate insights from diverse and previously inaccessible clinical data sources. Key improvements & why: Specific Technology: Names "Atlas" and highlights "deep phenotyping" as a key differentiator. AI Capabilities: Explicitly states NLP and machine learning are used, and explains how they are innovative (complex cohort identification). Target Market & Achievement: Identifies the specific customer base and provides a concrete example of impact (ALS research). Removed generic phrasing: Avoided starting with the overly broad "Mendel AI is an AI company." Focus on Value: Emphasizes the benefit of their technology – generating insights from data.

54gene

Lagos, Nigeria

54gene builds a pan-African genomic database to improve drug discovery and development for diseases disproportionately impacting African populations. Utilizing AI-powered analysis of this data, they identify genetic factors relevant to disease and accelerate the creation of targeted therapeutics. Their unique value proposition lies in addressing the significant underrepresentation of African genomes in existing biomedical research, enabling more effective and equitable healthcare solutions.

Diligent Robotics

Austin, United States

Diligent Robotics develops autonomous mobile robots for healthcare, specializing in logistical support within hospital environments. Their core product, Moxi, navigates hospitals to deliver supplies – including medications and lab samples – automating routine tasks traditionally performed by nurses and other staff. This allows hospitals to improve operational efficiency, reduce costs, and free up clinical personnel to focus on direct patient care, with deployments demonstrating significant time savings and improved workflows.

Garner Health

New York, United States

Garner Health is a U.S.-based company applying AI to improve healthcare access and cost-efficiency for self-insured employers. Their core product is a clinical AI platform that analyzes provider data – including quality metrics, cost variations, and utilization patterns – to identify high-value care options. This enables employers to steer employees towards demonstrably better providers, ultimately lowering healthcare expenditures and improving employee outcomes.

Kheiron Medical

London, United Kingdom

Kheiron Medical Technologies, now part of DeepHealth, develops AI-powered solutions for breast cancer screening. Their core product, Mia™, utilizes deep learning to assist radiologists in mammogram analysis, functioning as a triage tool, independent reader, or concurrent reader within existing workflows. This technology aims to improve diagnostic accuracy and efficiency for breast cancer detection, ultimately enhancing patient care within diagnostic imaging centers.

Proscia

Philadelphia, United States

Proscia develops Concentriq, a digital pathology platform leveraging computer vision and AI to accelerate cancer diagnostics and drug discovery. Their core technology focuses on analyzing pathology images to improve biomarker identification and streamline clinical trials. Notably, Proscia’s platform was ranked #1 in the 2026 Best in KLAS awards, demonstrating strong customer satisfaction within the life sciences and healthcare sectors.

Nabla

Paris, France

Nabla is a French healthcare AI company specializing in ambient clinical documentation. Their core product utilizes advanced natural language processing (NLP) to automatically generate concise, accurate, and legally sound patient notes directly from clinician-patient conversations. Targeting physicians and other healthcare providers, Nabla aims to reduce administrative burden, combat burnout, and improve the quality of patient care by restoring focus to the clinical encounter.

Savioke

San Jose, United States

Savioke develops and deploys autonomous mobile robots, specifically the Relay model, for internal logistics within commercial environments. Utilizing a sophisticated sensor suite and mapping technology, Relay navigates complex indoor spaces to deliver items like medications, lab samples, and amenities. Savioke targets the healthcare and hospitality industries, aiming to improve staff efficiency and reduce operational costs through automated delivery services.

Regard

New York, United States

Regard is a US-based clinical AI company that provides a proactive documentation platform for health systems. Utilizing AI to analyze 100% of patient data – including historical records – Regard automatically recommends diagnoses and generates near-complete documentation before physician encounters. This solution aims to reduce physician burden, improve diagnostic accuracy, and enhance revenue capture by surfacing previously missed clinical insights.

Atomic AI

San Francisco, United States

Atomic AI is a U.S.-based biotechnology company focused on discovering novel RNA-targeted therapeutics. Their core technology is a deep learning platform that integrates computational modeling with proprietary wet-lab assays to identify and develop small molecule drugs and RNA-based medicines. Atomic AI targets pharmaceutical companies and research institutions seeking to expand their pipelines with innovative RNA-focused therapies.

SigTuple

Bengaluru, India

SigTuple develops AI-powered solutions for automated medical diagnostics, specifically focusing on pathology workflows. Their core technology utilizes deep learning to analyze microscopic images of human blood and body fluids, enabling automated screening for diseases like diabetic retinopathy, anemia, and malaria. Targeting hospitals and diagnostic centers in India and emerging markets, SigTuple aims to improve access to accurate and affordable pathology services by reducing manual review and increasing throughput.

Hyro

Tel Aviv, Israel

Hyro develops and deploys compliant, generative AI-powered virtual assistants specifically for healthcare organizations. Their technology utilizes adaptive AI agents to automate high-volume, repetitive tasks across multiple communication channels – including call centers, websites, and mobile apps – reducing operational costs and improving patient access to care. Hyro targets hospitals and health systems seeking to improve efficiency, reduce call abandonment rates, and increase online appointment bookings through AI-driven automation.

Bioptimus

Paris, France

Bioptimus is building universal AI foundation models for biology. Their models understand biological systems to accelerate drug discovery and healthcare innovation.

Profluent

Berkeley, United States

Profluent uses large language models to design novel proteins for therapeutic applications. Developed OpenCRISPR, the first AI-designed gene editor used to edit human genomes.

Infermedica

Wroclaw, Poland

Infermedica is a Polish AI company developing a clinically-validated symptom assessment and triage platform. Their core technology utilizes a knowledge graph and machine learning to analyze patient-reported symptoms and guide them to the appropriate level of care, ranging from self-care to specialist consultation. Infermedica targets healthcare providers, health systems, and insurance companies seeking to improve care navigation, reduce operational costs, and expand access to care, particularly for remote or underserved populations.

Thoughtful AI

Austin, United States

Thoughtful AI automates healthcare revenue cycle operations with AI agents. Their platform handles claims processing, patient billing, and administrative workflows for healthcare providers.

Aiforia

Helsinki, Finland

Aiforia develops AI-powered software for analyzing digital pathology and medical images. Their core technology utilizes deep learning algorithms to automate and improve the accuracy of image analysis tasks, such as cancer detection and biomarker identification. Aiforia targets primarily pharmaceutical companies and pathology labs, offering tools to accelerate drug development and enhance diagnostic efficiency.

Aidence

Amsterdam, Netherlands

Aidence built AI software for lung-cancer screening—its CE-marked Veye Lung Nodules detects, classifies and tracks pulmonary nodules on CT scans. Founded in 2015 in Amsterdam; acquired by RadNet in January 2022 and now part of RadNet's DeepHealth AI unit.

Intelligencia AI

New York, Greece

Intelligencia AI uses curated biomedical data and machine learning to predict the probability of technical and regulatory success for drugs in clinical trials, helping pharma de-risk development. Founded in 2017 (New York HQ, Athens office) by Dimitrios Skaltsas and Vangelis Vergetis; ~110 staff.

Apheris

Berlin, Germany

Apheris provides a federated learning platform that enables collaborative AI model training across distributed, sensitive datasets – specifically within the life sciences industry. Their technology allows organizations to securely leverage both proprietary and public data to improve model accuracy and generalizability, without data ever leaving their control. This addresses a key challenge in life sciences AI development, where data diversity is limited by privacy and intellectual property concerns.

Replika

San Francisco, United States

Replika develops a personalized AI companion application available on mobile platforms, utilizing large language models to create engaging and empathetic conversational experiences. The application allows users to build relationships with their AI, customizing its personality and engaging in open-ended text-based conversations focused on emotional wellbeing and personal growth. With millions of users worldwide, Replika has garnered recognition for its ability to provide accessible emotional support, particularly for individuals experiencing loneliness or seeking a non-judgmental conversational partner.

Kera Health Platforms

Dakar, Senegal

Kera Health Platforms is a Senegalese digital-health company building an AI-powered platform that connects electronic health records, providers and insurance services to improve care coordination across West Africa. Founded in 2023 in Dakar by AI scientist Moustapha Cisse along with Papa Sow and Hosam Mattar, it raised a USD 10M round backed by the IFC.

Niramai

Bengaluru, India

Niramai is an Indian health-tech company specializing in early breast cancer detection through its AI-powered diagnostic solution, Thermalytix. Thermalytix utilizes thermal imaging and machine learning to identify breast abnormalities in a non-invasive and radiation-free manner, offering an accessible and affordable screening option. Currently deployed in over 200 hospitals across 30 Indian cities, Niramai targets healthcare providers and patients seeking improved early detection rates and reduced reliance on traditional, often inaccessible, screening methods.

Ingenix

Warsaw, Poland

Ingenix is a Warsaw-based deep-tech startup building a multimodal generative-AI co-pilot that simulates clinical trials using digital twins. Its foundation model is trained on genomic, transcriptomic and imaging data to predict clinical endpoints and adverse events before physical trials begin, aiming to reduce drug-development failure rates. It raised a EUR 9 million seed round led by Inovo.vc with OTB Ventures and IFC.

Quilt Data

San Francisco, United States

Quilt Data provides a data management platform specifically for life sciences research and development teams. Utilizing data versioning and AI-powered metadata tagging, Quilt organizes raw data, results, and associated metadata into searchable, versioned assets directly within a customer’s AWS environment. This enables improved data governance, collaboration, and accelerated research by establishing a single source of truth for complex scientific data.

Carecode

Sao Paulo, Brazil

Carecode is a Brazilian healthcare startup that deploys AI agents over WhatsApp to automate call-center tasks such as appointment scheduling and confirmations for healthcare providers. It supports both text and audio messages to reach older and lower-income patients. It raised a $4.3M pre-seed round backed by a16z and QED in 2024.

Google DeepMind

London, United Kingdom

Google DeepMind is a world leader in artificial intelligence research. Known for AlphaGo, AlphaFold, and Gemini. Merged with Google Brain in 2023.

BenevolentAI

London, United Kingdom

BenevolentAI is a UK-based company that leverages a proprietary knowledge graph and machine learning to accelerate drug discovery and development. Their platform analyzes complex biomedical data and scientific literature to identify promising drug candidates and targets, supporting R&D decisions for pharmaceutical and biotechnology companies. BenevolentAI differentiates itself through a decade of investment in building a uniquely comprehensive and interconnected life science intelligence system.

Exscientia

Oxford, United Kingdom

Recursion is a clinical-stage technology company applying artificial intelligence to drug discovery and development. Their Recursion OS platform integrates extensive biological and chemical datasets – exceeding 65 petabytes – with automated experimentation and machine learning to rapidly identify drug candidates and optimize molecule design. Targeting conditions with high unmet need like cancer and rare diseases, Recursion aims to significantly improve the efficiency and reduce the failure rate traditionally associated with pharmaceutical research.

Isomorphic Labs

London, United Kingdom

Isomorphic Labs is a UK-based AI company applying advanced machine learning to accelerate drug discovery and molecular design. Building upon the AlphaFold protein structure prediction technology, they develop predictive and generative AI models to design novel molecules and anticipate drug performance. Their focus is on leveraging AI to address complex diseases and fundamentally transform the pharmaceutical research process for potential breakthroughs in medicine.

Nuance Communications

Burlington, United States

Nuance Communications, now a Microsoft company, develops AI-powered solutions for clinical and administrative healthcare documentation. Their core technology centers on speech recognition and natural language processing applied to create tools like Dragon Medical One, which automates clinical documentation and enhances radiology reporting. Nuance primarily serves healthcare providers and aims to improve clinician productivity, reduce administrative burden, and enhance patient care through AI-driven workflows.

0xmd is a Healthcare & Medical Generative AI company dedicated to improving patient care and medical diagnostics through Large Language Models and Large Vision Language Models.

AICU

Seoul, South Korea

AICU pioneers non-invasive healthcare with Vision AI. Fecal Scanner and Gait Scanner analyze bio-images to detect signs of IBD and dementia early.

Dentomi

Hong Kong, Hong Kong

Dentomi is developing AI-powered solutions for dental diagnostics, focusing on accessibility and preventative care. While specific product details are currently unavailable on their website, the company aims to leverage artificial intelligence to improve oral healthcare outcomes. Currently, Dentomi's online presence consists of a parked domain, suggesting a company in early stages of development or preparing for a formal launch. Important Note: The website content is extremely limited and essentially a placeholder. This description relies heavily on the categories provided and makes reasonable inferences. A truly informative description would require access to more detailed information about Dentomi’s offerings.

Earable

Boulder, United States

Earable Neuroscience develops FRENZ Brainband, a wearable device utilizing bone-conduction technology and multi-sensor data fusion to track and influence brain activity during sleep. The device leverages AI algorithms to deliver personalized, real-time audio stimulation based on Cognitive Behavioral Therapy for insomnia (CBT-I), aiming to improve sleep onset, depth, and overall quality. Validated by clinical studies and recognized with CES 2023 awards, FRENZ targets adults experiencing sleep difficulties and is gaining traction within the creative industries for its potential to enhance restorative sleep and cognitive function.

Endel

Berlin, Germany

Endel is a German technology company developing AI-powered generative audio environments designed to improve cognitive performance and wellbeing. Their core product utilizes a patented algorithm that creates personalized soundscapes adapting in real-time to user-specific data like time of day, weather, and biometrics. Endel targets individuals seeking to enhance focus, reduce stress, and improve sleep quality through scientifically-backed auditory experiences.

Lunit

Seoul, South Korea

Lunit develops AI for cancer screening and treatment, including its FDA-cleared Lunit INSIGHT imaging suite (used at 10,000+ sites across 65+ countries) and the Lunit SCOPE biomarker platform. Founded 2013 by KAIST graduates; CEO Brandon Suh. Public on Korea's KOSDAQ since July 2022.

Monai

Santa Clara, United States

Monai is an open-source, PyTorch-based framework designed to accelerate the development and deployment of AI-powered medical imaging solutions. It provides a comprehensive suite of tools – including pre-processing, model training, and evaluation – specifically tailored for analyzing modalities like MRI, CT, and X-ray images. Developed jointly by NVIDIA and King's College London, Monai is gaining traction within the research community and is being utilized in projects focused on disease detection, segmentation, and image registration, with a growing ecosystem of contributed workflows and models.

Narrativa

Madrid, Spain

Narrativa is a Spanish AI company specializing in natural language generation (NLG) solutions for the life sciences industry. Their flagship product, Narrativa® Navigator, is a no-code generative AI platform that automates the creation of complex regulatory documentation – including Clinical Study Reports, patient narratives, and Trial Lay Summaries – at scale. This platform enables pharmaceutical companies and regulatory bodies to accelerate workflows, improve documentation quality, and maintain compliance in regulated environments.

Sophia Genetics

Lausanne, Switzerland

Sophia Genetics is a Swiss healthcare AI company that develops and provides the SOPHiA DDM™ platform, a suite of analytical tools for genomic data interpretation. Their platform utilizes AI and machine learning to analyze genomic profiles, specifically for applications in oncology and rare genetic disorders. Targeting clinical laboratories and hospitals primarily within Europe, the UK, Switzerland, and Israel, Sophia Genetics offers both research-use and CE-IVD certified diagnostic solutions to aid in precision medicine and improved patient outcomes.

Vicarious Surgical

Waltham, United States

Vicarious Surgical develops surgical robotics technology enabling advanced minimally invasive procedures. Their core innovation is a single-port robotic system utilizing miniaturized instruments and a high-definition camera, accessible through a 1.5cm incision – significantly smaller than current standard approaches. This technology targets surgeons and hospitals seeking to improve patient outcomes and expand the capabilities of robotic-assisted surgery, particularly in abdominal procedures.

Cotiviti

Atlanta, United States

Cotiviti is a healthcare analytics company that utilizes AI-powered solutions to identify and recover overpayments and ensure accurate risk adjustment. Their platform leverages extensive clinical and financial datasets to provide retrospective payment accuracy and comprehensive analytics across the healthcare payment lifecycle. Cotiviti primarily serves health plans and providers seeking to improve financial performance and optimize revenue through data-driven insights and compliance solutions.

Mirror

New York, United States

Mirror, a Lululemon subsidiary, delivers at-home fitness experiences through an interactive, full-length mirror incorporating AI-powered movement analysis. Its core technology utilizes computer vision to provide real-time form feedback and personalized workout recommendations based on user performance. Targeting consumers seeking convenient and data-driven fitness solutions, Mirror differentiates itself by blending studio-quality instruction with individualized biomechanical assessment.

Veeva Systems

Pleasanton, United States

Veeva Systems provides cloud-based software solutions specifically for the life sciences industry, encompassing research & development, quality management, and commercial operations. Their core offering is a unified clinical platform leveraging AI and data analytics to accelerate study timelines, streamline regulatory compliance, and improve data quality. Veeva targets pharmaceutical and biotechnology companies of all sizes, offering a consolidated system to manage critical processes from drug development through commercialization.

Hippocratic AI

Palo Alto, United States

Hippocratic AI builds safety-focused, non-diagnostic patient-facing clinical AI agents for healthcare, used for patient communication and care coordination across 50+ health systems. Its agents do not diagnose or prescribe. Raised a $126M Series C in November 2025 at a $3.5B valuation, bringing total funding to about $404M.

Abridge

Pittsburgh, United States

Abridge uses generative AI to convert patient-clinician conversations into structured clinical note drafts in real time, integrating directly into the EHR, and is deployed across 150+ health systems. Raised a $300M Series E in June 2025 at a $5.3B valuation.

Helium Health

Lagos, Nigeria

Helium Health digitizes African healthcare with a SaaS suite—electronic medical records, hospital management, revenue-cycle and telemedicine (HeliumOS)—plus the HeliumCredit financing product. Founded in 2016 in Lagos by Adegoke Olubusi, Dimeji Sofowora and Tito Ovia; raised a $30M Series B in 2023.

Sidra Medicine AI

Doha, Qatar

Sidra Medicine leverages artificial intelligence to advance precision medicine, specifically focusing on genomic data analysis for rare disease diagnosis and pediatric applications. Their AI capabilities include machine learning models applied to whole-genome sequencing data, aiding in the identification of genetic variants linked to childhood illnesses and informing personalized treatment strategies. As a leading healthcare provider in Qatar, Sidra Medicine utilizes these technologies to improve patient outcomes and supports regional advancements in pediatric emergency care, demonstrated by their ongoing organization of the Qatar Pediatric Emergency Medicine International Conference (QPEM).

Caption Health develops AI-guided ultrasound software that enables healthcare providers with varying levels of ultrasound experience to capture diagnostic-quality cardiac and vascular images. Their core technology utilizes deep learning algorithms for automated image acquisition, interpretation, and quality control. Targeting hospitals and cardiology practices, Caption Health aims to expand access to echocardiography and improve diagnostic capabilities at the point of care.

Eleos Health

Boston, United States

Eleos Health develops an AI-powered platform for community-based healthcare organizations focused on proactive prevention of claim denials and compliance issues. Their core technology utilizes real-time, automated documentation verification and completion within clinical workflows, guided by an organization’s specific policies and regulatory requirements. Targeting Medicaid-focused behavioral health providers, Eleos aims to reduce administrative burden and protect revenue by addressing documentation errors before claims are submitted.

Commure

Mountain View, United States

Commure develops an AI-powered revenue cycle management (RCM) platform for healthcare systems. Their core technology utilizes AI to automate administrative tasks across the entire RCM process, from clinical documentation to claims processing, with integrations to over 60 Electronic Health Records (EHRs). Commure targets large health systems seeking to improve financial performance and operational efficiency through automation and scalable software solutions.

Tennr develops a patient orchestration platform leveraging AI to automate complex administrative tasks within healthcare delivery. Their core technology utilizes document AI and agentic workflows to interpret payer requirements and patient data, enabling automated decision-making for care coordination. Targeting healthcare providers and payers, Tennr aims to improve patient flow, reduce operational friction, and minimize revenue loss associated with authorization and scheduling processes.