The Healthcare Technology Report is pleased to announce The Top 25 Healthcare AI Companies of 2025. Artificial intelligence (AI) is transforming the pace of medical breakthroughs. Tackling massive datasets, streamlining workflows, accelerating clinical trials, and optimizing patient care, this technology has become a crucial ally for providers, health systems, and researchers. The recipients of this year’s award are empowering the healthcare industry and freeing up resources to shift focus to what matters most: patients.
Not only is AI increasing efficiency, but it has also become a key enabler of a more proactive and personalized healthcare model. K Health’s virtual primary care, Athelas’s remote patient monitoring, and Quer.ai’s diagnostic tools for underserved areas are revolutionizing patient care and improving access to essential services. Beyond the patient experience, AI and machine learning technology are also enhancing the drug discovery pipeline. Companies like PathAI are training AI models on large-scale, expertly annotated datasets to improve clinical trial support, while EvolutionaryScale’s technology is enabling researchers to simulate evolutionary processes and create novel proteins for therapeutic applications.
From data analytics to diagnostics, administrative processes, and research, this year’s awardees have identified new ways to utilize AI to augment healthcare delivery at scale. Not only that, they have also used the technology with integrity, understanding the critical importance of safety, validation, and responsible implementation.
Carefully selected based on meticulous criteria and careful consideration of each company’s contributions to the field, this year’s awardees are positioned as leaders not only in the AI space but within the broader healthtech industry. Please join us in recognizing The Top 25 Healthcare AI Companies of 2025.
1. Cera
Cera is a digital-first home healthcare company delivering technology-enabled services across the UK and Germany. Founded in 2016, the company provides over 60,000 in-home patient appointments daily through a network of carers and nurses, offering services that include nursing, telehealth, and medication management. Its model is designed to shift healthcare delivery out of hospitals and into the home, serving a population of more than 30 million people on behalf of governments, insurers, and national health systems.
Cera’s platform integrates real-time data monitoring and machine learning to support clinical decision-making and care coordination. By equipping healthcare professionals with tools to detect changes in patient health earlier, the company has helped reduce hospitalisations and improve outcomes at scale. With one of the largest home healthcare datasets in the world, Cera continues to develop and deploy AI tools to modernize care delivery and support aging populations with personalized services at home.
2. XpertDox
Founded in 2015, XpertDox is a healthcare data analytics company from Arizona that specializes in autonomous medical coding. XpertDox has emerged as a leading provider of AI-powered autonomous coding solutions for urgent care chains, pediatric clinics, primary care organizations, women’s care organizations, federally qualified health centers (FQHCs) or community health centers (CHCs), and billing and RCM companies.
XpertDox’s medical coding platform, XpertCoding, uses Artificial Intelligence (AI), Natural Language Processing (NLP), and Big Data Analytics to automatically code over 94% of claims without human intervention, with over 99% coding accuracy. The platform is EHR-agnostic, making it compatible with most Electronic Health Record (EHR) systems. It also comes with a business intelligence suite with data analytics, audit trail, performance dashboard, and Clinical Documentation Improvement (CDI) modules that provide healthcare organizations with critical operational insights.
In 2024, XpertDox partnered with Nao Medical, a multi-specialty healthcare provider in New York, to enhance Nao Medical’s revenue cycle management operations with AI. Post-implementation, Nao Medical saw a 15% jump in charge capture, a 60% improvement in quality code capture, and a 40% reduction in charge entry lag. In 2023 and 2024, XpertDox more than doubled its client base each year.
XpertDox emphasizes responsible AI use in healthcare operations, and for that, it maintains critical certifications like ISO 22301 (Business Continuity Management), HIPAA compliance, ISO 27001 (Information Security Management), and SOC 2 (AICPA Type 2).
3. Tempus
Tempus is a healthcare technology company focused on advancing precision medicine through the use of artificial intelligence. By processing vast amounts of clinical and molecular data, Tempus supports physicians in making real-time, data-driven decisions for personalized patient care. Its platform combines analytics, machine learning, and diagnostic assays to provide insights that help identify targeted therapies, predict treatment responses, and connect patients to relevant clinical trials across a range of diseases.
Beyond supporting frontline clinicians, Tempus collaborates with research institutions and life sciences partners to accelerate therapeutic discovery and development. The company’s solutions include data integration tools, algorithmic models, and AI-enabled assistants that help close gaps in care and inform clinical research. With a mission to continuously improve patient outcomes by learning from each case, Tempus is working to make individualized medicine more accessible and actionable.
4. Augmedix
Augmedix develops AI-powered ambient documentation tools to reduce administrative workload in healthcare settings. Its platform captures natural clinician-patient conversations and converts them into structured medical notes, data entries, and point-of-care notifications. The goal is to streamline clinical workflows and support decision-making without disrupting the interaction between provider and patient.
Used across hospitals and health systems, Augmedix’s tools are designed to improve operational efficiency and reduce burnout by automating documentation tasks. With data drawn from millions of clinical interactions, the company’s solutions integrate into a variety of care environments and are now supporting nearly half a million clinicians. Through its technology, Augmedix aims to help restore time and focus on patient care.
5. Verantos
Verantos is a real-world evidence (RWE) company based in Silicon Valley that specializes in generating high-validity data for clinical, regulatory, and reimbursement use. Its platform integrates and enriches data from electronic health records, claims, and registries, applying artificial intelligence and data curation techniques to produce clinically robust, research-grade evidence. By focusing on data completeness, traceability, and accuracy, Verantos supports applications across therapeutic areas and stages of the product lifecycle.
The company works with pharmaceutical and biotechnology firms, academic medical centers, and federal agencies to support initiatives in market access, medical affairs, pharmacovigilance, and regulatory science. Verantos has played a key role in advancing national data policy and has been selected for demonstration projects by the FDA, NIH, and NSF. Its approach enables large-scale studies that incorporate unstructured clinical information, offering a level of reliability and scalability that is critical for decision-making in life sciences.
6. Sword Health
Sword Health is a digital health company that combines artificial intelligence and clinical expertise to deliver virtual care for musculoskeletal conditions, pelvic health, and injury prevention. Founded in 2015 in Portugal, the company offers an end-to-end platform that connects patients with licensed physical therapists and AI-powered tools to support personalized treatment and recovery. Its approach is designed to improve access to high-quality care while reducing the need for in-person visits, surgeries, and high-cost interventions.
Sword Health’s model is “AI Care”—a system that pairs human clinicians with AI-driven guidance to scale care delivery and enhance patient outcomes. The platform is used to treat a wide range of conditions, from chronic pain to postpartum recovery, and includes support for movement therapy, clinical coordination, and long-term prevention. With a focus on accessibility and outcomes, Sword Health aims to make world-class care available to patients regardless of location or background.
7. K Health
K Health is a New York-based company providing AI-driven virtual primary care. Its platform delivers 24/7 access to clinicians through a mobile app and partners with leading health systems and insurers, reaching millions of users across the U.S. The service covers a range of needs, from urgent care and chronic condition management to mental health support, with the goal of making high-quality healthcare more accessible and affordable.
K Health utilizes clinical-grade medical chat and predictive AI models trained on large datasets. These tools support physicians by analyzing symptoms and patient history to inform diagnosis and treatment decisions. By combining machine learning with human oversight, K Health is reducing costs, improving care delivery, and helping clinicians focus on patient outcomes.
8. PathAI
PathAI develops artificial intelligence solutions for digital pathology, with a focus on improving the accuracy of disease diagnosis and advancing drug development. Its models are trained on large-scale, expertly annotated datasets to support the analysis of tissue samples, enabling pathologists to detect disease markers more precisely. With a dedication to improving patient outcomes with AI-powered pathology, PathAI’s technology is used in both clinical and research settings, particularly in oncology, to aid in diagnostics, biomarker discovery, and clinical trial support.
In addition to its diagnostic tools, PathAI partners with pharmaceutical companies and pathology labs to improve laboratory workflows and accelerate therapeutic development. The company’s platform combines computational expertise with medical insight to support more efficient and confident clinical decision-making, streamlining analysis and helping bring effective treatments to patients more quickly.
9. RapidAI
RapidAI is a medical technology company specializing in AI-powered imaging solutions for vascular and neurovascular conditions. Originally developed at Stanford and now used in over 100 countries, its Rapid® platform assists physicians in identifying strokes, aneurysms, pulmonary embolisms, and other critical conditions. The software analyzes CT and MRI scans in real time to support faster diagnosis and treatment decisions across emergency and inpatient settings.
With more than 14 million scans processed globally, RapidAI’s platform has been validated through numerous multicenter clinical trials and is integrated into care workflows at over 2,000 hospitals. Its tools span a growing range of use cases, including triage, perfusion imaging, and treatment planning. By combining AI with decades of clinical research, RapidAI improves care coordination and patient outcomes in time-sensitive, high-acuity scenarios.
10. CodaMetrix
CodaMetrix is a healthcare technology company specializing in AI-powered autonomous medical coding. Developed initially within Mass General Brigham, its NLP-based platform translates clinical documentation from electronic health records into billing codes across multiple specialties. The system is designed to reduce administrative burden, improve coding accuracy, and streamline reimbursement by continuously learning from clinical data while incorporating payer rules and compliance requirements.
By focusing on the most complex and costly stage of the revenue cycle—mid-cycle coding—CodaMetrix helps providers optimize operational efficiency and reduce reliance on manual processes. Its hybrid model integrates human oversight for outlier cases while scaling automation for routine workflows. Serving over 200 hospitals and 50,000 providers, CodaMetrix’s goal is to reshape the role of medical coding, making it a more efficient, reliable source for both reimbursement and broader clinical insight.
11. Athelas
Athelas develops AI-powered platforms and connected devices to support chronic disease management and streamline healthcare operations. Its remote patient monitoring tools allow clinicians to track vital signs like blood pressure, blood glucose, and weight through internet-connected devices, enabling timely interventions without requiring in-person visits. The company also offers an ambient AI transcription service that automates clinical documentation, helping providers capture and organize patient data more efficiently.
In addition to clinical tools, Athelas provides revenue cycle management (RCM) services designed to improve billing workflows and maximize reimbursements for healthcare organizations. Its integrated software suite delivers real-time insights into financial operations, from claims processing to denials management. Frustrated with old, antiquated medical billing systems, Athelas is modernizing healthcare delivery for clinicians and administrators.
12. Imagene
Imagene is a pioneering company in AI-powered precision oncology, aiming to make cancer research and diagnostics more accessible, scalable, and effective across real-world healthcare settings. The company utilizes AI to capture complex features and patterns within biopsy images and omics data modalities, transforming clinical research and diagnostics. Imagene empowers life sciences, pharmaceutical companies, and clinical institutions to accelerate biomarker discovery, optimize clinical trials, and deliver faster, more precise cancer diagnostics. Founded in 2020 and headquartered in the United States, Imagene is backed by leading investors, including Larry Ellison.
At the core of Imagene’s platform is CanvOI, a state-of-the-art Oncology Intelligence Foundation Model developed in collaboration with Oracle—a scalable, generalizable, and versatile AI model that delivers robust performance even in small-data scenarios where traditional models often fall short. It serves as the backbone of OI Suite, Imagene’s transformative platform for AI-driven cancer research and diagnostics, supporting the full spectrum of oncology innovation—from diagnostics to biomarker discovery and drug development. By providing rapid, reliable insights into disease mechanisms and tumor microenvironments, the platform helps partners accelerate biomarker-driven therapeutic strategies and advance precision medicine. OI Suite allows life sciences and pharmaceutical teams to build and deploy AI-powered models quickly—without requiring deep machine learning expertise. This empowers partners to scale precision medicine and translational research efforts efficiently, even in complex or resource-constrained environments.
13. Generate:Biomedicines
Generate:Biomedicines is a biotechnology company based in Massachusetts that uses machine learning and generative biology to design novel protein therapeutics. Founded in 2018, the company has built a platform that learns from millions of proteins to model the relationship between structure and function, enabling the generation of entirely new molecules with therapeutic intent. Its work spans multiple areas, including immunology, oncology, and infectious diseases.
By integrating computational methods with biological engineering, Generate:Biomedicines aims to increase the speed and success rate of drug development. The company has generated and tested tens of thousands of proteins to date, and its platform supports drug creation across several modalities, positioning it to address a wide range of clinical needs. With the goal to bring ideas and science together, Generate:Biomedicines is pioneering the field of generative biology.
14. Aidoc
Aidoc is a healthtech company founded in 2016 and headquartered in Israel that focuses on developing AI-driven medical imaging solutions to support real-time clinical decision-making. Its FDA- and CE-approved algorithms assist in identifying critical conditions such as stroke, pulmonary embolism, intracranial hemorrhage, cervical fractures, and intra-abdominal free gas. By automating triage and flagging urgent findings, Aidoc helps radiologists and care teams prioritize high-risk cases more efficiently.
The company’s platform, built on its proprietary aiOS™ operating system, is designed to integrate across healthcare systems and clinical workflows. Rather than offering isolated tools, Aidoc provides an enterprise-level solution that aggregates and analyzes imaging data to support coordinated, timely interventions. Its goal is to reduce silos in care delivery while enabling faster, more informed decisions across specialties.
15. MDI Health
MDI Health is the next generation of medication management, harnessing AI to enhance clinical outcomes, reduce costs, and improve quality measures—all in one platform. MDI Health is fighting the silent epidemic of Drug-Related Problems—one of the leading causes of death in the US, costing $528 billion annually. MDI’s technology empowers payers and providers across the nation to optimize medication treatment, driving thousands of dollars in annual savings per high-risk patient while significantly reducing medication burden. Their award-winning system offers an unprecedented, comprehensive analysis of each patient and autonomously generates personalized clinical recommendations to improve quality metrics and reduce Rx & medical spend.
Leveraging advanced algorithms, MDI’s technology runs in-depth personalized analyses across the entire patient population, analyzing thousands of personal factors, including medications, health conditions, lab values, demographics, and more. The system instantly generates personalized recommendations for medication regimen changes, meticulously designed to prevent medical complications and directly tied to quality gap closures and cost reduction. This holistic approach, previously unattainable on a large scale, enables significant improvement to patients’ health outcomes.
16. Insitro
Insitro was founded in 2018 by Daphne Koller with the aim of using machine learning to decode human biology and develop transformative medicines. Seeking to address the low success rate of therapeutic R&D, its platform uses data-driven predictions to provide insights and purposefully design treatments. Insitro’s powerful ML engine, in combination with large, high-quality, multimodal datasets, makes it easier to demystify disease biology and ultimately develop new treatments.
The company leverages a cross-functional team of scientists, engineers, and more to achieve its goal of bringing the right drugs to the patients that need them most quickly and efficiently. Insitro’s AI- and ML-based platform harnesses genetics, human cohort data, and cellular data to accelerate the drug discovery and development pipeline. Its company culture fosters a “bilingual” environment where scientists and technologists learn each other’s “languages,” further demonstrating its commitment to using interdisciplinary approaches to further the field of drug research and development.
17. Suki
Suki is a health technology company that develops AI-powered voice tools to assist clinicians with administrative tasks. Its core product, Suki Assistant, functions as a voice-enabled AI assistant that helps physicians complete clinical documentation, issue patient instructions, and manage forms through natural language commands. Designed to reduce the time spent on paperwork, the platform supports more efficient workflows across a variety of specialties and care settings.
In response to rising clinician burnout, Suki aims to reimagine the healthcare tech stack as a more intuitive, assistive layer that integrates seamlessly into clinical workflows. The company also licenses its proprietary technology through Suki Platform, which enables partners to incorporate voice-driven AI features—such as ambient documentation and voice-based form filling—into their own solutions. By combining speech recognition, large language models, and contextual medical data, Suki is building a scalable AI layer intended to reduce administrative overhead and support clinical decision-making across healthcare settings.
18. Cleerly
Founded in 2017, Cleerly is a cardiovascular imaging company focused on using artificial intelligence to assess heart disease through non-invasive imaging. Its platform analyzes 3D coronary computed tomography angiography (CCTA) scans to identify and measure atherosclerosis and other markers of coronary artery disease. The company’s tools are designed to provide clinicians with detailed, quantifiable insights into heart health, aiming to support earlier, more informed decision-making without the need for invasive procedures.
Cleerly’s approach is informed by nearly two decades of research and data from large-scale, multi-center clinical trials. By combining AI with expert-validated methodologies, the company enables more precise evaluations of plaque, ischemia, and stenosis. Its solutions are intended to improve diagnostic accuracy and facilitate clearer communication between providers and patients in the management of cardiac care.
19. BigHat Biosciences
BigHat Biosciences is a biotechnology company advancing the development of safer, more effective antibody therapeutics using an AI-enabled discovery and engineering platform. Its Milliner™ platform integrates a high-speed synthetic biology lab with machine learning to design, build, and test antibody candidates in iterative cycles. This approach allows for optimization of key properties—such as affinity, stability, specificity, and immunogenicity—supporting the development of next-generation therapeutics for diseases including cancer, inflammation, and infectious disease.
Headquartered in the Bay Area and backed by investors such as Andreessen Horowitz, Amgen Ventures, and Bristol Myers Squibb, BigHat combines automation, computational design, and wet-lab testing under one roof. Its team of scientists and engineers collaborates on internal programs and external partnerships, applying its platform to accelerate hit discovery, reduce development risks, and generate antibodies with complex, multi-target profiles that go beyond the capabilities of conventional biologics.
20. Notable
Notable is an AI platform that automates healthcare operations across more than 10,000 sites of care. Its tools handle over a million workflows daily, including scheduling, intake, referrals, chart review, and care gap closure, helping providers reduce manual administrative tasks and improve patient care. By integrating directly into clinical and operational systems, Notable supports health systems in streamlining processes, reducing overhead, and enabling more personalized care experiences.
Founded in 2017, Notable partners with hospitals and health systems of varying sizes to improve financial and clinical outcomes through scalable automation. Its platform is designed to reduce the administrative burden on staff and clinicians while enhancing operational efficiency across departments. Supporting major healthcare systems like Presbyterian, Sanford Health, and Fort HealthCare, Notable wants to support healthcare providers in delivering care more effectively and sustainably.
21. Synthego
Synthego is a genome engineering company specializing in CRISPR-based technologies for life science research and therapeutic development. The company offers a range of solutions from research-grade tools to IND-enabling and GMP-grade materials, supporting scientists through each stage of the drug development process. By integrating automation, bioinformatics, and molecular biology, Synthego provides high-quality reagents and data-driven workflows to streamline genome editing at scale.
Synthego serves both academic and commercial partners, has contributed to over a dozen IND submissions, and is positioned as a key supplier in the development of CRISPR-based therapies. Its vertically integrated platform is designed to reduce bottlenecks in early discovery, preclinical validation, and clinical manufacturing in pursuit of improved human health.
22. Formation Bio
Formation Bio leverages AI and its proprietary technology to improve the efficiency of clinical-stage drug development. The company acquires development-stage programs from pharmaceutical firms, biotech companies, and academic institutions, aiming to accelerate timelines and optimize outcomes. Its approach integrates software tools to streamline clinical trial design, execution, and data quality, helping bring treatments to patients faster and at a lower cost.
Formation Bio also collaborates with OpenAI and other partners to develop AI-powered tools for drug development and patient recruitment. By combining technical infrastructure with operational expertise, the company supports faster, more adaptive trials across a range of therapeutic areas. Its platform is designed to reach clinical milestones earlier than traditional models while maintaining safety and regulatory standards.
23. Qure.ai
Qure.ai develops artificial intelligence tools to automate the interpretation of medical imaging, including X-rays, CT scans, and ultrasounds. Its AI models assist clinicians in detecting and prioritizing conditions such as tuberculosis, lung cancer, and stroke, especially in areas where radiology expertise is limited. The company’s technology is designed to speed up diagnosis, improve workflow efficiency, and expand access to care in resource-constrained settings.
Founded with the aim of making diagnostic services more equitable, Qure.ai partners with healthcare providers, public health programs, and research institutions across the globe, operating in over 100 countries via 4,500 sites. Its solutions support both clinical decision-making and population health initiatives, helping medical teams deliver timely interventions while managing high patient volumes.
24. Hippocratic AI
Hippocratic AI is developing a safety-focused large language model (LLM) designed specifically for healthcare. Founded in 2023, the company aims to address the global shortfall of healthcare workers by enabling safe, scalable support through AI-driven tools. Its model is being developed in collaboration with clinicians, hospital leaders, and researchers from institutions such as Stanford, Johns Hopkins, and El Camino Health. A core design principle is that its tools must perform at the safety level of an average clinician when executing a given task.
In addition to its technical work, Hippocratic AI places strong emphasis on ethical development, prioritizing patient safety, equitable access, and clinical utility. The company has secured funding from investors, including Andreessen Horowitz, General Catalyst, and NVIDIA’s NVentures, and is backed by multiple health systems. With a mission rooted in expanding access to care and improving patient outcomes, Hippocratic AI is exploring how generative AI can augment healthcare delivery.
25. EvolutionaryScale
EvolutionaryScale is a biotechnology company developing frontier AI models to advance the understanding and design of proteins. Its flagship model family, ESM3, is built to interpret, generate, and reason over protein sequence, structure, and function. Trained on billions of natural proteins and built using large-scale computing power, ESM3 enables researchers to simulate evolutionary processes and create novel proteins for a range of scientific and therapeutic applications.
The company also offers ESM Cambrian, a parallel model family optimized for protein representation learning. EvolutionaryScale’s tools are designed for use across life sciences disciplines, including drug discovery, environmental biology, and synthetic protein development. Its commitment to scientific rigor and responsible AI development is deepening the understanding of human biology, with far-reaching benefits for human health and society.
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