The field of artificial intelligence has massively surpassed the stage of mere application in healthcare. By 2026, AI systems were already in place to assist with diagnostics, to perform clinical workflow automations, to internet of things of revenue cycle management, and to make large-scale personalized patient care a reality. Research in the industry reveals that over 50% of health organizations are now using AI in their daily operations and that investments in AI for healthcare continue to rise globally every year.

To keep pace with the majority of healthcare sectors that are still skeptical of the AI techniques, healthcare software development remains a daunting task. Adherence to regulations, safeguarding of data, and other requirements like EHR system interoperability and clinical safety set apart those vendors who are skilled in healthcare AI from the general-purpose AI studios.

Consequently, organizations eyeing to employ AI are progressively relying on those sources which have a solid background in healthcare software development services, and who are adept in delivering solutions that are secure, compliant, and scalable and at the same time integrating them without any hiccups with the current clinical systems.

How We Selected the Top AI Healthcare Software Development Companies

The organizations that are highlighted in this list were picked owing to the fact that they actually delivered healthcare AI in the real world rather than just through marketing claims or trial prototypes. Every provider is capable of carrying out the development of ready-for-production solutions for highly regulated healthcare environments.

Main selection criteria were the following:

• Proven track record in healthcare software development and AI implementation 
• Capacity to design and implement machine learning and LLM-based systems
• Knowledge of healthcare regulations like HIPAA and GDPR
• Integration experience with EHRs, EMRs, and clinical data platforms regarding AI solutions
• Data security practices of a high standard and compliance-oriented architectures
• Client feedback that is verified and delivery history of long-term projects 

This is not a ranking, though. Companies are shown according to their demonstrated capabilities and healthcare focus.

Top 10 AI Healthcare Software Development Companies in 2026

1. Cleveroad

• Founded in: 2011
• Headquarters: Claymont, Delaware, USA
• Hourly Rate: $50–$80
• Industry Expertise: Fintech, Healthcare, Logistics, Retail, Media, eCommerce
• Reviews: 70+ reviews on Clutch, average rating 4.9/5
• Website: cleveroad.com

Cleveroad is a software development company that has a healthcare-centric approach and provides AI-powered digital solutions to organizations in the US and Europe. The firm creates platforms for healthcare, clinical systems, and applications that are data-driven and suitable for the regulated medical environments.

The healthcare portfolio of Cleveroad comprises a wide range of applications, such as systems for remote patient monitoring, platforms for medical data management, and clinical dashboards. The group's expertise includes machine learning models, LLM-based systems, and predictive analytics while being compliant with healthcare data protection requirements. With years of experience in healthcare software development, Cleveroad is there for the healthcare organizations all the way through the product life cycle, from discovery and architecture design to development, integration, and long-term support.

The company adheres to both ISO 27001 and ISO 9001 certified management systems for its operations and is an AWS Select Tier Partner. Additionally, Cleveroad has garnered several industry awards from reliable B2B platforms and is noticeably a preferred vendor for healthcare organizations looking for secure and scalable AI solutions. 

2. Accenture

• Founded in: 1989
• Headquarters: Dublin, Ireland
• Hourly Rate: $100–$200
• Industry Expertise: Healthcare, Life Sciences, Public Sector
• Reviews: Enterprise client references
• Website: accenture.com

Accenture provides considerable AI solutions in healthcare to hospitals, insurers, and life sciences companies. Through its healthcare AI projects, the company aims to assist clinical decision making, conduct population health analysis and implement automation in complex enterprise environments. 

3. Cognizant

• Founded in: 1994
• Headquarters: Teaneck, New Jersey, USA
• Hourly Rate: $100–$180
• Industry Expertise: Healthcare, Life Sciences, Insurance
• Reviews: Enterprise client references
• Website: cognizant.com

Cognizant is in the process of creating a healthcare platform that will use AI for clinical operations, revenue cycle automation, and data sharing among health care providers. The corporation is concentrating on large-scale structures that will allow the incorporation of AI models into the current IT systems of healthcare. 

4. EPAM Systems

• Founded in: 1993
• Headquarters: Newtown, Pennsylvania, USA
• Hourly Rate: $80–$150
• Industry Expertise: Healthcare, Financial Services, Retail
• Reviews: 50+ reviews on Clutch
• Website: epam.com

EPAM Systems produces healthcare software that is personalized to clients' needs and has AI features integrated into it. The company mainly deals with clinical data platforms, AI-based diagnosis, and patient engagement that are made for long-term durability and safety. 

5. IBM Consulting

• Founded in: 1911
• Headquarters: Armonk, New York, USA
• Hourly Rate: $120–$220
• Industry Expertise: Healthcare, Enterprise IT, AI Research
• Reviews: Enterprise client references
• Website: ibm.com

The use of artificial intelligence and advanced analytics is being done by IBM Consulting in the area of healthcare through the implementation of AI in clinical decision support, the management of population health, and the optimization of operations. The healthcare AI projects of the company are often aimed at large-scale installations of the organization that come with robust governance.

6. ScienceSoft

• Founded in: 1989
• Headquarters: McKinney, Texas, USA
• Hourly Rate: $50–$120
• Industry Expertise: Healthcare, Manufacturing, Retail
• Reviews: 40+ reviews on Clutch
• Website: scnsoft.com

ScienceSoft creates software for the healthcare sector that is driven by AI technology, such as medical analytics platforms, portals for patients, and systems for managing healthcare data. The firm puts forward the ideas of interoperability, adherence to the regulations, and sustainability in the long run as its major strengths.

7. Tata Consultancy Services (TCS)

• Founded in: 1968
• Headquarters: Mumbai, India
• Hourly Rate: $60–$120
• Industry Expertise: Healthcare, Life Sciences, Enterprise IT
• Reviews: Enterprise client references
• Website: tcs.com

Tata Consultancy Services designs industry-specific big AI platforms, focusing on mechanisms for automation, analytics, and optimizing data for hospitals and pharmaceutical companies. 

8. Intellias

• Founded in: 2002
• Headquarters: Chicago, Illinois, USA
• Hourly Rate: $60–$130
• Industry Expertise: Healthcare, Automotive, Fintech
• Reviews: 30+ reviews on Clutch
• Website: intellias.com

When we are speaking about AI or ML, also referred to as artificial intelligence or machine learning, we should pay attention as Intellias is one of the best in introducing their capability in different health app contexts. 

9. Globant

• Founded in: 2003
• Headquarters: Luxembourg
• Hourly Rate: $90–$170
• Industry Expertise: Healthcare, Media, Digital Platforms
• Reviews: Enterprise client references
• Website: globant.com

Globant is a company that creates healthcare platforms that are powered by AI technology and mainly directed towards patient involvement, the use of data for decision making, and the design of digital experiences. 

10. SoftServe

• Founded in: 1993
• Headquarters: Austin, Texas, USA
• Hourly Rate: $70–$140
• Industry Expertise: Healthcare, Big Data, IoT
• Reviews: 40+ reviews on Clutch
• Website: softserveinc.com

SoftServe provides AI in healthcare solutions for the areas of clinical analytics, medical imaging support, and connected health platforms through the adoption of cloud-native architectures.

Common AI Healthcare Use Cases in 2026

In 2026, most healthcare AI projects will continue to be based on practical, high-impact applications get their support from the clinical teams, the administrators, and the patients:

• Clinical decision support: AI-powered tools that help the doctors by providing them with diagnostics, risk assessment, and treatment recommendations that are based on the patient's data.
• Medical imaging analysis: Solutions that make the radiology and pathology workflows faster by analyzing medical images to detect the anomalies and prioritizing the cases.
• Revenue cycle automation: AI systems that are used for medical coding, billing validation, and claims processing to minimize the administrative workload and errors.
• Virtual health assistants: Chatbots that help patients with triage, they schedule appointments, and give advice on clinical matters.
• Predictive analytics: Models that estimate future events such as readmission risk, disease progression, and resource utilization.  

Key Risks When Choosing an AI Healthcare Vendor

When choosing a partner for AI development, healthcare organizations need to be conscious of the risks that are typical in the industry:

• Lack of awareness regarding regulations
• Inadequate data protection measures in healthcare sector 
• Insufficient AI interpretability and validation 
• Not smoothly integrated with clinical systems 
• Not being able to expand beyond trials deployments  

How to Choose the Right AI Healthcare Development Partner

Decision-makers should pay attention to these factors when evaluating healthcare AI vendors:

• Real-world case studies that showed the vendor’s capabilities in AI for healthcare
• Approval from the vendor’s side of the compliance requirements, such as HIPAA and data protection standards
• How well the vendor can integrate with EHR and clinical data platforms through the use of industry standards
• Giving support not only for initial deployment but also for long-term scaling and maintenance

Partnering with a vendor that has already proven healthcare delivery capability cuts down the regulatory risk and at the same time helps to make sure AI solutions work well in real clinical settings. 

Conclusion

AI is still a powerful game changer in the healthcare sector; however, it is very much a matter of getting the proper quality to execute its implementation.  Those companies that really have healthcare AI up their sleeve are the ones who provide the most reliable, approved, and expandable solutions.

The vendors mentioned above are a clear indication of the technical skills and knowledge in the medical field that will be required to create workable AI healthcare software by 2026.

About the Author

Yuliya Melnik

Technology writer

Yuliya Melnik is a technical writer at Cleveroad, a web and mobile application development company focused on healthcare software development and AI-driven digital solutions. She writes about artificial intelligence in healthcare, digital health platforms, and secure software development for regulated industries, helping decision-makers navigate complex healthcare technology topics.