100+ artificial intelligence companies to know in healthcare | 2019

Artificial intelligence and machine learning are quickly becoming an integral part of healthcare delivery.

Both on the clinical care and operational side of healthcare organizations, AI has is powering technology that keeps patients safe and improves efficiency for the revenue cycle, supply chain and more.

Here are 100-plus companies in the healthcare space using artificial intelligence.

To add a company to this list, contact Laura Dyrda at ldyrda@beckershealthcare.com.

Arcadia.io (Boston). Arcadia.io’s AI and machine learning capabilities augment their leading data aggregation platform. Through these capabilities, Arcadia enables healthcare organizations to create complex predictive analytics algorithms to better identify patients who are rising risks for overutilization so that healthcare providers can proactively implement interventions.

Aidoc (Tel Aviv, Israel). Aidoc provides radiologists with artificial intelligence (AI) for clinical settings. Their FDA cleared solution detects time-sensitive pathologies and prioritizes them in the radiology workflow, allowing leading health systems to improve outcomes and patient safety.

AiCure (New York City). AiCure is an AI and advanced data analytics company that uses video, audio and behavioral data to better understand the connection between patients, disease and treatment. It allows physicians to have access to clinical and patient insights.

Aidence (Amsterdam, The Netherlands). Aidence has developed Veye Chest, the AI application improving diagnostics for the treatment of lung cancer. Veye Chest helps radiologists by automatically detecting, quantifying and reporting on lung nodules present on CT-scans, empowering physicians to make a diagnosis based on guideline-driven measurements

Aiva Health (Los Angeles). Aiva Health developed Aiva, the first voice-powered care assistant. The software understands requests and instantly connects patients with the correct physician for communication.

Apixio (San Mateo, Calif.). Apixio's AI platform transforms disparate text and coded data into actionable knowledge and health insights for better decision making.

Arterys (San Francisco). Arterys is a leader in intelligent, cloud-based medical imaging software. It created the first medical imaging cloud platform powered by artificial intelligence.

AtomWise (San Francisco). AtomWise developed AtomNet, a drug-designing technology based on convolutional neural networks. It aims to help its partners deliver better medicines faster.

Ayasdi (Menlo Park, Calif.). Ayasdi designs applications and an enterprise-grade software platform that allows healthcare organizations to analyze and build predictive models that solve complex challenges in the industry by using big data or highly dimensional data sets.

Babylon Health (London). Babylon is a digital healthcare provider that aims to create an internationally accessible and affordable health system for all.

Bay Labs (San Francisco). Bay Labs is a San Francisco-based privately held company focused on increasing quality, value and access to medical imaging by combining deep learning and ultrasound. Founded in 2013, Bay Labs applies artificial intelligence to cardiovascular imaging, and its deep learning technology is designed to help medical professionals of all skill levels perform and interpret high-quality echocardiography to ultimately benefit their patients. Bay Labs is funded by Khosla Ventures, Data Collective, and other leading venture capital firms.

Behold.ai (London). Behold.ai is delivering its algorithm-based 'instant triage' in the radiology department at Dartford and Gravesham NHS Trust where patients have already benefited from its ability to quickly identify anomalies in multiple-modality scans. The ground-breaking software is also currently live in two other NHS Trusts.

Belong.life (New York City). Belong's end-to-end patient engagement platform (PEP) for payers, providers, pharma and advocacy groups utilizes AI and machine learning to deliver hyper-personalized patient experiences. Additionally, the Belong “Beating Cancer Together” app unites 200,000 global cancer patients, caregivers and healthcare professionals, delivering AI-powered personalized news, peer support, direct access to doctors, clinical trial matching services and document management tools.

Bigfoot Biomedical (Milpitas, Calif.). Bigfoot Biomedical is the creator of the automated insulin delivery system. The company works to improve the health and safety of those suffering from Type 1 diabetes through the creation of smart devices.

Biofourmis (Boston). Biofourmis offers a powerful patented AI-based platform for therapeutic decision support. It continuously analyzes data from medical-grade wearable sensors and other patient-generated data to create unique digital biomarkers reflecting the health status of an individual. These digital biomarkers have been assessed in several studies and have demonstrated the ability to help detect changes in an individual’s health status much earlier than previously possible.

BioXcel Therapeutics (New Haven, Conn.). BioXcel Therapeutics is a clinical stage biopharmaceutical company that uses AI to create medicines in neuroscience and immuno-oncology.

Bot M.D. (Singapore). Bot M.D. is an AI application that acts like an assistant. It can answer clinical questions, transcribe dictated case notes and automatically organize images and files.

Bowhead Health (Toronto, Canada). Bowhead Health offers a digital health ecosystem to allow pharmaceutical manufactures to gain new insights via artificial intelligence on chronic illnesses (such as migraines) while empowering citizen-centric data ownership. This digital ecosystem creates federated, patient-held records leveraging differential privacy to uncover new algorithms in personalized care.

Buoy Health (Boston). Buoy is an artificial intelligence computational platform that allows ill users to understand their symptoms, get answers and form a treatment plan through chatting.

Butterfly Network (Guilford, Conn.). Butterfly Network is a digital health company that works to make medical imaging universally accessible and affordable. The company created Butterfly iQ, the world’s first handheld whole-body ultrasound system that connects to a smartphone.

Cardinal Analytx Solutions (Palo Alto, Calif.). Cardinal Analytx Solutions, an artificial intelligence-enabled health insights company, helps organizations predict and identify future health risks, improve patient outcomes and costs and develop an action plan for reducing such determinants.

Cathworks (Aliso Viejo, Calif.). Cathworks delivers an image-based approach for assessing FFR (functional flow reserve) in the cath lab using data from standard angiograms. Cathworks' CE marked and FDA approved solution creates a personalized 3D model of each patient’s arteries and uses algorithms to simulate blood flow and assess the impact of arterial blockages without the use of a pressure wire.

Change Healthcare (Nashville, Tenn.). Change Healthcare is a healthcare technology company delivering software, analytics and solutions to improve the healthcare system. The company includes artificial intelligence in several products, most recently unveiling Claims Lifecycle Artificial Intelligence in February.

Clarify Health Solutions (San Francisco). Clarify Health Solutions uses technology and an analytics platform to solve many of the complex challenges facing healthcare professionals and to personalize and optimize patient care journeys.

Clinithink (Atlanta). Clinithink’s CLiX solution delivers exciting new depths of patient insight for life science and healthcare by using AI to extract the rich, unstructured data from electronic medical records.

Cloud Pharmaceuticals (Research Triangle Park, N.C.). Cloud Pharmaceuticals uses new, innovative cloud computing technology to accelerate the process of designing drugs and drug candidates. The process is called Quantum Molecular Design.

CloudMedx (Palo Alto, Calif.). CloudMedx uses AI, data-driven models to improve clinical insights, revenue cycle management and patient care.

contextflow (Vienna, Austria). contextflow revolutionizes the medical information search process via deep learning: our 3D image-based search engine for radiologists finds regions of interest within images; when a suspicious pattern is detected, we immediately provide visually similar cases & and reference information helpful for diagnosis...within seconds.

Curemetrix (La Jolla, Calif.). Curemetrix is working toward developing the next generation of medical image analysis technology. In particular, it uses a patent-pending algorithm to create more precise and advanced tools for mammography.

Cyrcadia Health (Reno, Nev.). Cyrcadia Health designed a wearable, intelligent breast monitor device that uses breast patches that identify circadian patterns within breast cells to keep physicians aware of patients’ breast health.

Day Zero Diagnostics (Boston). Day Zero Diagnostics is develoipng a rapid in-vitro diagnostic for identification of bacterial pathogens and antibiotic susceptibility profiles. The company combines genomic next generation sequencing (NGS) and machine learning to combat antimicrobial resistant infections, enabling physicians to switch from harmful and costly broad-spectrum antibiotics to targeted antibiotic therapy within hours instead of days.

Deep Genomics (Toronto, Canada). Deep Genomics uses their AI platform to rapidly direct them to the best drug candidates. The company is designing new ways of detecting and treating disease using biologically accurate AI technology.

DeepRadiology (Los Angeles). DeepRadiology provides tools for identifying indications in multiple modalities to prioritize studies and patients for the most efficient care.

Deep Lens (Columbus, Ohio). Deep Lens manages the largest digital pathology cloud platform that allows pathology groups to collaborate on cancer research.

DeePathology.ai (Israel). DeePathology.ai develops state of the art AI solutions for various problems in pathology. The company has developed a unique platform that allows them to create customized solutions super fast. Among our solutions: H. Pylori detector, Cell Detection and Tissue Segmentation for skin cancer, Alzheimer and more.

Desktop Genetics (Cambridge, Mass.). Desktop Genetics works to discover and treat the root genetic causes of human disease and has emerged as a leader in genome editing technology. Its core technology is DESKGEN AI, which powers DESKGEN CRISPR that helps with drug discovery and functional genomics.

Digital Reasoning (Nashville, Tenn.). In healthcare, Digital Reasoning deploys AI-powered care management software within health systems to augment the care team and accelerate the entire care process, delivering a positive impact on clinical, financial and operational outcomes.

DreaMed Diabetes (Petah Tikva, Israel). DreaMed Diabetes’ management platform uses unique cloud-based AI technology to provide patients with insulin treatment insights and plans. It simplifies the complexity of diabetes data.

Enlitic (San Francisco). Enlitic connects human and artificial intelligence and data to advance medical diagnostics. The company collects and analyzes data and designs medical software that allows physicians to diagnosis faster and more accurately.

FDNA (Boston). FDNA uses artificial intelligence to analyze genetic, phenotypic information databases to detect physiological patterns that reveal disease-causing genetic variations.

Flatiron Health (New York City). Flatiron Health developed OncoCloud, a shared technology platform that connects community, oncologists, academics, hospitals, life science researchers and regulators to better treat cancer.

Futurus Group (Irvine, Calif.). Futurus Group is the first AI machine-learning company to develop an algorithm to predict gratitude within a hospital’s grateful-patient program. Futurus Group’s patent-pending G2G (Gratitude to Give) algorithm leverages data within a hospitals EMR, donor CRM and patient satisfaction data to predict individuals most likely to make a gift to a hospital or medical center.

doc.ai (Palo Alto, Calif.). doc.ai developed an application that collects personal health data that can be used by medical researchers to accelerate discovery or as health insights for the user.

Ezra (New York City). Ezra designed full-body, MRI technology that detects up to 13 cancers in women and 11 in men.

FitGenie (Atlanta). FitGenie is an AI, nutrition application that aids people by providing tools and instructions for maintaining and optimizing nutritional health. More specifically, it is a smart calorie counter that tells users what to eat to reach their goals.

Freenome (South San Francisco, Calif.). Freenome seeks to transform the way medicine is practiced by using artificial intelligence, biology and computer science to detect disease earlier and more accurately.

Gauss Surgical (Menlo Park, Calif.). Gauss Surgical is the leading developer of an AI-enabled platform for real time monitoring of surgical blood loss.

GE Healthcare (Chicago). With its Edison intelligence platform, GE Healthcare applies AI and analytics to healthcare data to unearth timely insights that improve patient outcomes, reduce waste and inefficiencies, and eliminate errors in the healthcare system. Built on top of existing workflow applications and devices, GE Healthcare inserts AI and analytics directly into these devices and workflows.

Genoox (Palo Alto, Calif.). Genoox delivers a data-driven, cloud-based solution that unlocks the value of genomics. The company's adaptive AI solution leverages proprietary datasets that transform raw genetic information into actionable real world evidence enabling customers to develop customized clinical NGS genetic applications with accelerated turnaround time delivering insights within hours instead of weeks.

Ginger (San Francisco). Ginger provides clients with an on-demand coach, therapist and psychiatrist for instant care.

H1 (New York City). H1 is a live data insights platform for diseases, driven by machine learning. The platform is able to find data from any public clinical and scholarly database in the world, drawing on curated data from “hundreds of thousands” of website profiles and conference presentations. H1’s tools search across more than 250,000 academic researchers, 250,000 clinical trials, 50 million journal articles, and 750,000 clinicians and physicians.

H2O.ai (Mountain View, Calif.). H2O.ai is the creator of the leading open source data science and machine learning platform, Driverless AI.

Healint (Singapore). Healint designed the leading migraine application, Migraine Buddy, which tracks users’ migraines, understands triggers and shares migraine history with physicians to better treat and efficiently improve the invisible pain.

Health at Scale (San Jose, Calif.). Health at Scale uses machine intelligence to deliver precision care by matching patients to the right treatments by the right providers at the right times.

Health Fidelity (San Mateo, Calif.). Health Fidelity uses technology and expertise to allow organizations participating in Medicare Advantage, ACA commercial, Managed Medicaid or Medicare ACO programs to provide risk adjustment solutions.

HealthReveal (New York City). HealthReveal uses artificial intelligence to reduce costs, improve outcomes and quality of life and save lives for the chronically ill.

HeartFlow (Redwood City, Calif.). HeartFlow provides a new approach to non-invasive diagnosis of coronary artery disease (CAD), the world’s number one cause of death, through the HeartFlow Analysis, which uses deep learning and certified analysts to create a personalized, digital 3D model of a patient's coronary arteries based off data from CT scans. HeartFlow’s technology can be used by physicians to evaluate the impact a blockage has on blood flow to the heart and determine the most optimal treatment pathway for patients with suspected CAD.

IBM Watson Health (Chicago). IBM Watson Health aims to solve health challenges using data, analytics and AI. The company works with more than 300 hospitals and healthcare organizations to make decision based on data.

iCAD (Nashua, N.H.). iCAD is a global medical technology leader that uses artificial intelligence to provide cancer detection and therapy solutions so physicians can detect cancers earlier.

IDx (Coralville, Iowa). IDx developed the first automated diabetic retinopathy diagnostic AI machine called IDx-DR. The company works to transform healthcare through the automation of medical diagnosis and treatment.

Imperativ (New York City). Imperativ's Enterprise Intelligence Platform delivers digital twin modules and associated applications that connect and optimize the internet of medical things for decision making.

InformAI (Houston). InformAI develops AI healthcare applications that improve physician productivity and speed up medical diagnosis at the point-of-care. The company’s applications uses artificial intelligence to both interpret 3D imaging modalities and assess patient procedure risks to assist physicians in their treatment planning for targeted medical conditions.

Innovaccer (San Francisco). Innovaccer is a healthcare data activation company that works to improve care delivery by making full use of all the data the healthcare industry has collected.

Inovalon (Bowie, Md.). Inovalon is a healthcare technology company designing platforms to empower data-driven healthcare. The company’s leading ONE Platform allows clients and partners to use datasets, analytics and technologies to improve healthcare outcomes and economics.

Insightin Health (Baltimore). Insightin Health created the only existing AI platform for members’ complete lifecycle. The platform delivers a personalized experience using health data and social determinants to identify the best ways to communicate with others.

Inspiren (New York City). Inspiren is the inventor of iN, an automated patient safety monitoring device that aims to reduce injuries and deaths by ensuring patients receive proper care.

Jvion (Johns Creek, Ga.). Jvion uses prescriptive analytics to prevent harm and lower costs. Its technology identifies patients on a risk trajectory, determines if that trajectory can be changed and identifies possible interventions, if applicable.

K Health (New York City). K Health developed K, the first personalized healthcare application that allows patients to check their symptoms, explore treatment options and chat with doctors for free.

KenSci (Seattle). KenSci uses AI to help providers and payers intervene earlier and at lower costs. Its platform helps uncover clinical, operational and financial risks by aggregating data.

Linguamatics, an IQVIA company (Boston). Linguamatics delivers NLP-based AI solutions for high-value knowledge discovery and decision support from text. Their solution empowers customers to speed up drug development and improve patient outcomes by breaking down data silos, boosting innovation, enhancing quality, and reducing risk and complexity.

Lunit (Seoul, South Korea). Lunit is a medical AI software company that uses cutting-edge technology and medical data to discover, design and develop imaging biomarkers.

Massive Bio (New York City). Massive Bio is a marketplace that connects oncology patients and their treating oncologist to the cutting edge advanced care options and clinical trials while enabling enterprises to get access to patients and their information to enhance oncology research. Massive Bio resides at the intersection of patient acquisition, artificial intelligence based scalable pre-screening, operationalization support and real world data to connect patients to oncology trials. 

MaxQ AI (Andover, Mass.). MaxQ AI is a leader in medical diagnostic AI. The company’s software uses artificial intelligence to interpret medical images to help physicians make more accurate and faster diagnoses of strokes, brain trauma and other conditions.

Medable (Palo Alto, Calif.). Medable is pioneering a new category of life science technologies that replace the stagnant and siloed data of traditional ePRO, eCOA, EDC, and eSource with an intelligent and unified end-to-end (E2E) platform for clinical trial execution. Medable’s E2E platform connects patients, sites, CRO’s and sponsors to work together as a connected and empowered team in clinical research, to bring new medicines to patients faster.

Medicomp Systems (Washington, DC). Medicomp Systems uses AI technology to transform structured and unstructured healthcare data into clinically relevant, patient-specific data at the point of care for better decision-making and to feed data to clinical dashboards and analytics systems.

Medalogix (Nashville, Tenn.). Medalogix is a pioneer data science company focusing on home health and hospice. Its technology identifies risk, creates action, improves patient outcomes and delivers ROI.

Medasense (Israel). Medasense's NOL Index is the first objective pain assessment index for accurate and personalized pain care.

MedAware (Israel). MedAware's technology uses big data analytics and machine learning algorithms to analyze electronic medical records to learn how physicians treat patients to identify and eliminate a wide range of medication errors.

Medial EarlySign (Hod Hasharon, Israel). Medial EarlySign helps healthcare systems with their early detection and prevention of high-burden diseases. The company's machine learning-based software finds subtle, early signs of elevated patient risk trajectories in routine, existing EHR and lab data.

MedWhat (San Francisco). MedWhat is a medical artificial intelligence company that is building an algorithmic architecture to achieve human-level intelligence in medicine. The software acts as a personal assistant by answering medical and health questions for consumers and doctors.

Mendel.ai (San Jose, Calif.). Mendel is a network of research sites powered by AI and clinical insights that works to unlock the full potential of clinical data relevant to cancer research.

mPulse Mobile (Encino, Calif.). mPulse is the leading developer of conversational AI solutions for the healthcare industry. It improves health outcomes and business efficiencies.

Myia Labs (San Francisco). Myia Labs is an intelligent health monitoring platform that helps prevent illness, manages chronic conditions and redefines quality of life by transforming real-world data into clinical, objective insights.

Myndshft Technologies (Mesa, Ariz.). Myndshft’s software-as-a-service automates and simplifies time-consuming healthcare administrative tasks using AI and blockchain. Myndshft works with leading providers, payers and health information exchanges.

NarrativeDx (Austin, Texas). NarrativeDx uses AI to identify insights from patient hospital experience feedback to increase ranking, scores and referrals and reduce nurse turnover.

NextHealth Technologies (Denver). NextHealth's AI and machine learning analytics platform combines data-driven decision making into workflow to improve healthcare affordability.

Notable (San Mateo, Calif.). Notable uses wearable technology, voice interface, friction free integrations and artificial intelligence to make patient-clinician interaction more efficient and effective.

Nuance Communications, Inc. (Burlington, Mass.). Nuance Communications is the pioneer and leader in conversational AI innovations. With decades of domain and AI expertise, Nuance provides intelligent systems that support a more natural and insightful approach to clinical documentation and radiology reporting, freeing clinicians to spend more time caring for patients. Nuance healthcare solutions capture, improve, and communicate more than 300 million patient stories each year, helping more than 500,000 clinicians in 10,000 global healthcare organizations to drive meaningful clinical and financial outcomes.

NuMedii (San Mateo, Calif.). NuMedii is a leader of using big data, AI and biology to accelerate the discovery of precision therapies and drugs.

Numerate (San Bruno, Calif.). Numerate uses AI technology to simplify the complex process of molecular drug design.

Olive (Columbus, Ohio). Olive is deploying the first digital workforce built specifically for healthcare, automating healthcare’s most robotic processes, so human employees don’t have to. Olive delivers healthcare organizations improved efficiency and speed while reducing costly administrative errors. Using the systems an organization already has in place, Olive operates as a digital employee intelligently routing information and data between systems automating repetitive, high-volume tasks and workflows, providing true interoperability.

Optasia (Manchester, U.K.). Optasia's algorithm looks through thousands of existing CT scans already held by NHS Trusts, quickly identifies vertebral fragility fractures (VFFs) and returns the scan to the hospital with the fractures clearly ’flagged up’ for further investigation. In doing so, it also frees up valuable time for specialist doctors to use their expertise and skills where they are needed most.

Pager (New York City). Pager simplifies the healthcare experience by connecting patients and their care team in a single AI chat to make smarter and faster health decisions.

Paige.AI (Franklin D. Roosevelt Island, N.Y.). Paige.AI uses artificial intelligence to help pathologists work more efficiently, researchers discover new insights and clinicians improve patient care.

PathAI (Boston). PathAI develops technology that helps pathologists make rapid and accurate diagnoses. It also helps patients receive the most personalized, effective treatment for their condition.

Pathway Genomics (San Diego). Pathway Genomics provides physicians and their patients with actionable and accurate precision healthcare information to improve and maintain health and wellness.

Pearl (Columbus, Ohio). Pearl uses care management services and remote health, home monitoring technology to effectively and efficiently provide wider quality access. The company helps government agencies and commercial enterprises provide a wider access of quality healthcare to all populations.

Pearl (Los Angeles). LA-based Pearl was founded on the notion that artificial intelligence can be the dental practitioner’s always-on assistant and the patient’s most trustworthy friend. Its founders have a uniquely personal connection to the dental industry’s intricacies, as well as the knowledge and education to actualize the full and practicable potential that AI has to offer.

PeriGen (Cary, N.C.). PeriGen’s AI-powered early warning system for labor and delivery assesses trends in fetal heart rate, contractions, maternal vitals and labor progress to provide bedside clinicians with real-time analytics that flag potential problems during labor for earlier interventions.

Picwell (Philadelphia). Picwell's technology simplifies the complex benefits decision-making process by matching users with their optimal plan.

Potrero Medical (Hayward, Calif.). Potrero Medical is a predictive health company that develops smart sensors and artificial intelligence. It is currently creating a predictive health platform to help physicians better predict adverse outcomes in critical care settings.

PrecisionGx (Philadelphia). PrecisionGx provides health insurers with payment and premium integrity AI solutions. PrecisionGx’s AI Engine is improving the detection of inappropriate billing patterns by greater than 35%, reducing time spent on unrecoverable claims, and automating over 50% of manual review processes. This year PrecisionGx is on pace to analyze and map relationships on more than 2.5 billion patient events for their customers.

Prognos (New York City). Prognos maintains the largest sources of lab data across 50 disease areas with records for 200 million patients.

Proscia (Philadelphia). Proscia developed Concentriq, a digital pathology platform, and AI applications that have and continue to transform the practice of pathology by focusing on personalized, data-centric medicine.

Pure Storage (Mountain View, Calif.). Pure Storage, a leading data storage company, allows its clients to efficiently deliver real-time secure data to perform operations.

QuartzClinical (Chicago). QuartzClinilcal uses advanced technology to help users achieve better outcomes through more cost-efficient and effective measures. The software uses predictive models, financial insights and personal health records to help make better clinical decisions

Qventus (Mountain View, Calif.). Qventus uses artificial intelligence and machine learning to help healthcare organizations operate more efficiently and simply.

Recondo Technology (Denver). Recondo Technology’s revenue cycle content engine intelligently automates the healthcare revenue cycle using a combination of AI technologies that include robotic process automation, clinical language processing and machine learning models based on extensive domain expertise. Among the first companies to develop AI specifically for the healthcare revenue cycle, today Recondo’s accurate, automated and actionable solutions replace expensive manual communication between payers and providers with high volume, high speed transactions in over 900 organizations.

Renalytix AI (Cardiff, United Kingdom). Renalytix AI develops artificial intelligent clinical diagnostic solutions for kidney disease. Its products improve risk assessment, clinical care and patient stratification for drug clinical trials.

ReveKnow (Lake Forest, Calif.). ReveKnow provides low-cost access to advanced machine learning algorithms that can predict a patient’s propensity to pay a bill, calculate percentage to FPL for presumptive charity, or estimate the probability that a denied account can be overturned. All of these services are designed for smaller budget-conscious hospitals to optimize their limited resources and focus first on the accounts most likely to produce a positive outcome.

Risalto Health (New York City). Risalto Health’s AI platform uses big data to identify the best providers and advice on care for patients suffering from neck, knee and hip pain problems.

Robin Healthcare (Berkeley, Calif.). Robin Healthcare created Robin, an AI device that completes all clinical documentation and billable notes for physicians during appointments with patients.

SAS (Cary, N.C.). SAS is a leading advanced analytics software company delivering cutting-edge AI capabilities to improve the health care system. The company uses embedded machine learning and AI to improve population health, accelerate therapeutic discovery and development, and automate clinical processes through all its technology solutions, including SAS Health Analytics Framework.

Sensely (San Francisco). Sensely is an application that intelligently connects insurance plan members with health related advice and resources and insurance services.

Sentrian (Australia). Sentrian provides organizations’ employees with the tools, skills and support to work technology. It provides the pieces for companies to build their IT system and grow their business.

SkinIO (Chicago). SkinIO is a mobile application that takes approximately five minutes to perform a full-body scan of moles or other concerning skin marks by using camera taken images. It also allows physicians to track any changes in skin condition.

SkinVision (Amsterdam). SkinVision's combined technology and knowledge helps users check their skin for signs of skin cancer with instant results on a smartphone.

SmartPlate (Philadelphia). SmartPlate is the first intelligent wellbeing platform that uses advanced photo recognition and AI technology to identify, weigh and analyze anything users eat. The device instantly tracks calories by using a mobile application and a smart plate.

Somatix (New York City). Somatix is a provider of wearable-enabled RPM software platform for healthcare. It's solution uses patented gesture detection technology and machine learning algorithms to analyze user’s gesture data in real time. The algorithms remotely and passively detect physical and emotional indicators for generating insights on risk factors for adverse events, poor medical compliance, inactivity, falls, dehydration and more. 

Sopris Health (Denver). Sopris Health developed the first AI medical scribe technology that works to improve clinical efficiency and decrease administrative burden.

Spring Health (New York City). Spring Health created and implements Precision Mental Healthcare, a method of accurately predicting the right treatment and accelerating mental health recovery by using the same scientific principles behind precision medicine.

Suki (Redwood City, Calif.). Suki is an artificial intelligence-powered, voice-enabled digital assistant for doctors that enables physicians to focus on patient care by reducing administrative burden. It's personalized for each doctor, gets smarter with ongoing use, and can be scaled rapidly and inexpensively. 

SymphonyRM (Palo Alto, Calif.). SymphonyRM’s AI-powered platform identifies next best actions for every consumer, patient, and provider. With prioritized and personalized next best actions, health care organizations can orchestrate meaningful relationships, while driving health system growth, loyalty, and quality.

TAGNOS (Aliso Viejo, Calif.). TAGNOS’ AI application uses machine learning combined with real-time data capturing capabilities to provide a system that continually updates and adjusts its operational intelligence to provide sustained improvement of OR and ED patient flow, as well as asset and supply management.

Theta Lake (Santa Barbara, Calif.). Theta Lake is a cloud-based communication compliance platform, using AI and deep learning to detect compliance risks in what was said, shared, and shown within modern communications. The platform also powers risk insights and workflow automation, while providing secure, compliant archiving for video, voice, and chat – all driving down the cost of compliance.

Tissue Analytics (Baltimore). Tissue Analytics develops software solutions that use artificial intelligence to automatically and objectively extract high quality wound data from input and images. Through partnerships with the leading electronic medical record vendors, the extracted data can automatically be integrated into an institution’s EMR system to allow efficiency and improved workflows.

Touchkin (Bengaluru, India). Touchkin's Wysa is a pioneer AI-driven empathetic, compassionate conversation coach that instantly helps users improve their mental health.

TransformativeMed (Seattle). TransformativeMed pairs machine learning with mobile and voice communications so clinicians can interact with their EHR through smart messaging notifications and data in their handheld device or on their desktop. Directly within the clinician’s EHR workflow, TransformativeMed leverages machine learning for disease management to provide risk identification of patient deterioration, hypoglycemia and other conditions.

TrialJectory (New York City). TrialJectory is an AI-based trial matching platform that uses cancer patients’ self-reported medical records to facilitate clinical trial search, matching and enrollment.

twoXAR (Mountain View, Calif.). twoXAR is an artificial intelligence-driven drug discovery company that uses its platforms to identify promising drug candidates, de-risk opportunities and progress drug candidates to clinics.

Univfy (Los Altos, Calif.). Univfy is dedicated to helping women and couples wanting to have a baby increase IVF access, success and affordability through an AI platform. The software allows physicians to form accurate, personalized IVF treatment prediction plans.

Verge Genomics (South San Francisco). Verge Genomics uses advanced machine learning, computational genomics and new insights into neuroscience to reduce the time and cost of drug discovery for patients suffering from neurodegenerative disease.

VIDA Diagnostics (Coralville, Iowa). VIDA Diagnostics provides clients with software and services that can aid in early detection, evaluation and treatment planning of lung disease.

VisiQuate (Santa Rosa, Calif.). VisiQuate’s business analytics integrate and simplify complex big data from multiple sources and present the information as meaningful insights, actionable workflows and prediction pathways by leveraging powerful artificial intelligence and machine learning capabilities.

Viz.ai (San Francisco). Viz.ai uses artificial intelligence-powered products to synchronize stroke care and improve access to life-saving therapies. It detects and alerts stroke teams and allows them to communicate in real time.

Wellframe (Boston). Wellframe uses AI technology and user data to generate real-time insights for care teams to improve health quality and outcomes.

Welltok (Denver). Welltok is a data-driven enterprise company that allows users to get actively involved in their health with the Consumer Activation Platform. It is a single platform for personalized health and wellbeing resources that powers growth and retention initiatives and improves healthcare value.

Woebot Labs (San Francisco). Woebot Labs aims to make mental health accessible to all with its Woebot application. It gives users daily lessons and check-ins and allows them to have conversations to think through situations and improve mental wellness.

XSOLIS (Nashville, Tenn.). XSOLIS changes the way hospitals and health plans approach utilization management by using real-time AI that assesses data directly from the electronic medical record to give nurses and clinicians a holistic, comprehensive view of each patient. XSOLIS’ analytics and technology form a shared, objective framework for medical necessity for payers and providers.

Your.MD (London). Your.MD is a free mobile application that uses AI to give users health formation to help them make the best health choices.

Zebra (Lincolnshire, Ill.). Zebra's products, software and services help healthcare professionals improve patient outcomes and business results by connecting them with assets and data.

Zephyr Health (Phoenix). Zephyr Health’s AI platform merges and analyzes public and private data sets for the Life Sciences industry. The company was acquired by Anju Software in 2018.

Zingbox (Mountain View, Calif.). Zingbox delivers am AI powered cloud-based platform which provides healthcare organizations with visibility, tracking, management and cybersecurity capabilities for the Internet of Things (IoT). The company’s comprehensive solution enables service providers in healthcare to deliver uninterrupted and secure critical care and service to patients and customers and gain organization-wide operational efficiencies.

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