Best AI Companies for Healthcare 2025

Evolution Analytics is a data and analytics consulting firm specializing in AI-driven solutions for business transformation across healthcare, finance, and other industries.[1][2][5]

Samasource is a social enterprise that delivers high-quality training data while employing underserved communities. The company specializes in image, video, and text data annotation for industries like healthcare, retail, and automotive.

V7 provides AI training data annotation tools and services for computer vision applications. The platform enables teams to label images, videos, and medical data with advanced automation and quality control features.

IBM Watson is IBM's enterprise AI platform providing machine learning, natural language processing, and AI-powered analytics solutions. Watson helps businesses automate processes, gain insights from data, and build AI applications across industries including healthcare, finance, and customer service.

SunTec.AI is a global AI/ML development company providing end-to-end enterprise AI solutions that address real-world business challenges across multiple domains. The company specializes in high-quality, human-in-the-loop data labeling across text, image, audio, video, and 3D sensor data for AI training, supporting machine learning and generative AI development. SunTec.AI offers comprehensive services including Generative AI solutions for content creation and automation, AI & Machine Learning consulting with MLOps, data & AI integration with compliance focus, data analytics and business intelligence, and expert data annotation services. Serving clients including CrowdWorks, NTT, BasicTech, Traveloka, and Expedia, SunTec.AI has delivered notable results: 70% reduction in form processing time through AI-driven survey response mapping, 85% user adoption for NLP-powered digital diary app, and 70% reduction in manual review time for legal document processing using OCR and AI analysis. The company holds ISO 27001:2022, ISO Quality Management System certifications, is CMMI certified, and maintains HIPAA compliance for healthcare data projects, ensuring enterprise-grade security and quality standards for sensitive AI training data operations.

DataRobot is an enterprise AI platform headquartered in Boston, Massachusetts, specializing in automated machine learning (AutoML) and AI governance. Founded in 2012, DataRobot pioneered the AutoML movement, enabling data scientists and business analysts to build, deploy, and manage production AI models with minimal manual effort. The platform automates feature engineering, algorithm selection, hyperparameter tuning, and model deployment, reducing the time to value for AI projects from months to weeks. DataRobot has raised over billion in funding and was valued at .3 billion at its peak in 2021, currently valued around 00 million as of 2025. The company serves enterprise customers across finance, healthcare, manufacturing, and government sectors, with customers reporting ROI of 0-200 million through AI-driven optimization. Named a multiyear leader in Gartner's Magic Quadrant for Data Science and Machine Learning Platforms, DataRobot's key capabilities include agentic AI workforce deployment, generative AI integration, predictive analytics, model monitoring and governance, and purpose-built industry solutions. The platform emphasizes explainability and transparency, critical for regulated industries requiring AI auditability and compliance with frameworks like GDPR and SOC 2.

H2O.ai is an open-source machine learning platform headquartered in Mountain View, California, founded in 2011 to democratize AI for enterprises and data scientists. The company pioneered open-source AutoML with H2O-3, which has been downloaded over 40 million times and is used by over 20,000 organizations including AT&T, PayPal, and Cisco for production ML workloads. H2O.ai's flagship H2O AI Cloud platform combines automated machine learning, document AI, and generative AI capabilities for private, protected data, enabling organizations to build and deploy AI models while maintaining full data control and compliance. The platform supports the full ML lifecycle including data preparation, feature engineering, algorithm selection, model training with distributed computing across CPUs and GPUs, model deployment, and monitoring. H2O.ai's Driverless AI product automates feature engineering and model selection using genetic algorithms and ensemble methods, achieving state-of-the-art accuracy on structured data problems. The platform integrates with popular tools like Spark, Hadoop, Python, R, and Java, while offering pre-built connectors to data warehouses like Snowflake, Databricks, and AWS S3. H2O.ai emphasizes explainable AI with built-in model interpretability tools, critical for regulated industries like finance and healthcare requiring transparent AI decision-making for compliance with regulations like GDPR and CCPA.

Abridge uses generative AI to automatically capture and summarize doctor-patient conversations into structured clinical notes. The company became a unicorn in 2025 with 30% market share in the ambient scribing category, which generated $600M in 2025 (+2.4x YoY). Abridge serves major healthcare systems including Johns Hopkins Medicine, Kaiser Permanente, Mayo Clinic, and Duke Health, with reported outcomes including 78% reduction in cognitive load and 86% of clinicians reporting less after-hours work. Best in KLAS 2025 - Ambient AI Market Leader.

Aidoc specializes in AI-powered solutions for radiology and medical imaging analysis, helping detect brain bleeds from CT scans and other critical conditions. The company's aiOS platform analyzes 3 million patients each month across radiology, cardiology, neurovascular, and vascular specialties. Aidoc offers 20+ CE/UKCA-marked algorithms and serves 130+ clinical partner hospitals across Europe and globally. The platform enables care coordination with mobile activation for urgent case notification in PERT and stroke care.

PathAI develops AI-powered technology that assists pathologists in making accurate diagnoses for cancer and other diseases. The company provides biopharmacy lab services, clinical development services, and drug/diagnostic development using machine learning on large-scale expertly annotated datasets. PathAI has raised $415-490M in total funding and offers AISight, a cloud-native digital pathology image management system that supports case and image management along with AI tools for histopathology workflows. Founded by Aditya Khosla and Andrew H Beck.

Athelas provides an AI-powered healthcare platform offering Revenue Cycle Management, Ambient AI for automated medical documentation, and internet-connected smart devices for patient monitoring. The company developed FDA-cleared blood diagnostic devices along with sensors to manage Blood Pressure, Weight, Glucose, and Medication Adherence for chronically ill patients at home. Athelas raised $200M in funding and merged with Commure in 2023, creating a combined entity valued at $6B. The platform powers over 500,000 clinicians across hundreds of care sites nationwide with over $10B flowing through their systems supporting 100M+ patient interactions.

Freenome develops blood-based tests for early cancer detection using its multiomics platform that combines computational biology, machine learning, and advanced genomics. The company has raised $1.35B in total funding including a $254M Series E in February 2024 led by T. Rowe Price and Fidelity Investments. Freenome's initial programs focus on colorectal and lung cancer with a pipeline of single-cancer and multi-cancer tests under development. The company operates PREEMPT CRC (>40,000-participant study for colorectal cancer screening) and PROACT LUNG (up to 20,000 participants for lung screening validation). Setting a new pace for early cancer detection with the ease of a standard blood draw.