Hospitals and payers are seeking measurable gains in diagnostic accuracy, workflow efficiency, and cost reduction. The global AI in healthcare market is estimated to reach USD 505.59 billion by 2033, with a projected compound annual growth rate of 38.9%.

Established technology leaders such as Microsoft, Google, NVIDIA, Siemens Healthineers, and Epic are embedding AI capabilities in electronic health records (EHRs), radiology platforms, and cloud ecosystems. They intensify competition and validation in the sector.

In this environment, AI healthcare startups are differentiating through proprietary datasets, regulatory-cleared algorithms, workflow-native deployment models, and outcome-backed business cases that move beyond proof-of-concept toward scaled adoption.

  1. Assort Health (USA): AI Agents for Healthcare Call Center Automation
  2. Wealthy Technology (France): Generative AI for Clinical Documentation & Regulatory Workflows
  3. Symbiotic AI (Canada): AI-Powered Cardiology Decision Support Platform
  4. Spiel Rad (UK): AI-driven Radiology Reporting Automation
  5. AgiliMed (Australia): Agentic AI for Hospital Workflow Automation
  6. Doody (Italy): AI-based Digestive Health Monitoring Platform
  7. WAI bio (South Korea): AI Imaging Diagnostics & Breast Implant Analysis
  8. Healvai (UAE): AI-powered Fitness & Lifestyle Coaching Platform
  9. FriendnPal (Nigeria): AI Mental Health Support Platform
  10. Glurry (Estonia): AI-driven Type 1 Diabetes Management Assistant

 

 

Early-Stage AI Healthcare Companies Attracting Clinical Adoption

1. Assort Health – Generative AI Agents for Healthcare Call Centers

  • Founding Year: 2023
  • Location: San Francisco, CA, USA
  • Funding: Secured USD 102 M to scale the platform

US-based startup Assort Health provides an agentic AI-based patient engagement platform. It automates patient communication across voice, text, and web channels.

The platform leverages specialty-trained AI with natural language processing (NLP) to manage scheduling, care navigation, prescription renewals, referrals, lab coordination, and more. AI agents answer calls and messages autonomously. This reduces hold times and administrative burden for healthcare staff.

2. Wealthy Technology – Drug Development

  • Founding Year: 2024
  • Location: Paris, France
  • Funding: Raised INR 130 Cr in Series B

French startup Wealthy Technology offers a generative AI platform to accelerate the drug development lifecycle. It automates clinical document creation, analysis, and validation workflows.

The platform applies AI to interpret global regulatory requirements with traceability and audit readiness. It converts these regulations into submission-ready documents and improves the understanding of clinical trial data. This reduces administrative work and speeds research for pharmaceutical, biotech, and medtech organizations.

3. Symbiotic AI – Heart Care Decision Support

  • Founding Year: 2023
  • Location: Calgary, Canada

Canadian startup Symbiotic AI develops Revaz AI, an AI-based decision support platform for coronary artery disease treatment. It leverages machine learning (ML) to analyze comprehensive patient health data.

Trained on real-world clinical data, the platform generates personalized health risk predictions for each patient and compares the mortality for treatment options. This aids clinicians in improving treatment planning as well as minimizing future complications and re-admissions.

4. Spiel Rad – Radiology Reports

  • Founding Year: 2024
  • Location: Sheffield, UK

UK-based startup Spiel Rad brings AI software to generate structured radiology reports. Leveraging NLP, the software automates the impression-writing process. This reduces fatigue for radiologists.

It provides intelligent reporting templates covering radiology subspecialties and imaging modalities. It also automates draft generation to reduce manual typing and variation. This standardizes report quality and allows radiologists to focus more on patient care, thus improving patient outcomes.

5. AgiliMed – Healthcare Workflow Orchestration

  • Founding Year: 2024
  • Location: Melbourne, Australia

Australian startup AgiliMed builds IASORA, an intelligent workflow automation platform for healthcare operations. It leverages agentic AI to automate scheduling, documentation, patient communication, and follow-up coordination.

The AI agents continuously adapt to clinical outcomes, patient feedback, and operational metrics. This enables decision-making without human intervention. It also reduces manual coordination burden for hospitals and clinics while saving time.

 

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6. Doody – Gut Health Tracking

  • Founding Year: 2025
  • Location: Turin, Italy

Italian startup Doody develops a digestive health tracking app that monitors bowel movements and gut health. It utilizes AI to analyze user logs based on the Bristol Stool Scale and generates easy-to-share health reports for clinicians.

The app features stool classification to help users understand digestive trends and triggers. It gives them personalized recommendations based on their logs and symptom patterns. This enables them to identify food triggers and monitor treatment responses, thus improving digestive wellness.

7. WAI bio – Breast Implant Diagnostics

  • Founding Year: 2023
  • Location: Seoul, South Korea

South Korean startup WAI bio provides an AI-powered breast implant diagnostic tool. It leverages ML and deep learning on medical ultrasound (USG) and mammography images to identify implant types and complications. This automates the identification of rupture, folding, fluid collection, capsular thickening, and calcification.

Based on a smart triage system, the tool automatically prioritizes patients with critical findings, such as implant rupture. This way, it supports radiologists, breast surgeons, and plastic surgeons with automated analysis and consultation options.

8. Healvai – AI Fitness Assistant

  • Founding Year: 2024
  • Location: Dubai, UAE

UAE-based startup Healvai offers an AI-powered fitness and posture assistant app. It leverages computer vision to analyze meals, body composition, workout form, and posture. The app estimates calories and nutritional contents based on uploaded images.

The app provides tailored exercise recommendations and gives real-time feedback on exercise forms. It also tracks a user’s progress, including body composition and posture improvements. This supports better physical alignment for health-conscious individuals.

9. FriendnPal – Mental Health Assistant

  • Founding Year: 2023
  • Location: Lagos, Nigeria

Nigerian startup FriendnPal creates an AI-powered mental health support app. It leverages predictive AI and multilingual NLP to deliver empathetic support to users.

The app connects individuals to a network of licensed therapists and mental health professionals. It gives them access to therapy, counseling, and peer support services. The app also features a personalized chatbot, Pal, for personalized emotional care.

This enables early intervention and ongoing care, thus leading to better patient outcomes.

10. Glurry – Self-Management of Diabetes

  • Founding Year: 2025
  • Location: Tallinn, Estonia

Estonian startup Glurry offers a Type 1 diabetes management app. It uses AI to analyze data from users’ logs to provide them with personalized goal suggestions. It records glucose, insulin, carb intake, and more. The app enables users to monitor their progress with metrics like glycated hemoglobin (eHbA1c) and glucose management indicator (GMI).

The app also features multiple device integration and calendar-based health tracking for proactive diabetes care. It provides users with tailored notifications and community engagement to support consistent self-management.

Scope, Sources, and Caveats

This analysis draws on the StartUs Insights Discovery Platform, which tracks 9M+ companies, 25K+ technologies & trends, and 190M+ patents, news articles, and market reports to surface emerging innovators in clinical AI.

To build this 2026 shortlist, we first mapped the AI healthcare landscape across care delivery, diagnostics, clinical documentation, patient engagement, and chronic disease management. We then filtered companies based on relevance of AI capability, founding recency, location, and external traction signals.

Finally, we hand-picked 10 startups that represent both high-growth categories and emerging use cases while ensuring geographic diversity and clear, workflow-native value propositions.