Best AI Healthcare Software Development Companies for 2025

Below, you can review the list of 10 best AI healthcare companies to look out for in 2025 in more detail. We’ve focused on key parameters like:

• Year of foundation
• Tech experience
• AI integration expertise
• Certifications, testimonials and awards
• Headquarters office location
• Hourly rate
• Healthcare domain expertise

Let’s examine each company in more detail.

• Founded in: 2011
• Headquarters: Tallinn, Estonia
• Hourly rate: $50-$99/h
• Industry expertise: Healthcare, Fintech, AI/ML, Logistics, EdTech, etc.
• Website: https://www.cleveroad.com/

Cleveroad is a top-rated AI healthcare software development company with 13+ years of proven expertise in the domain. The company specializes in building intelligent solutions for medical data processing, patient engagement, diagnostic support, and telemedicine platforms. Their technical capabilities cover advanced AI/ML frameworks (TensorFlow, PyTorch), cloud-based deployments (AWS, Azure, GCP), and interoperability standards such as HL7, FHIR, for seamless EHR integrations.

The company’s healthcare portfolio includes projects with predictive analytics, computer vision for diagnostics, and HIPAA/GDPR-compliant systems. Cleveroad has Clutch Premier Verified Status and has been recognized as one of the leading AI development companies in the healthcare sector.

Cleveroad also achieved the 7th place on Clutch 1000 list. Besides, the company holds ISO 9001:2015 and ISO/IEC 27001:2013 certifications, ensuring alignment with international quality and security management practices.

Cleveroad’s clients include startups, SMBs, and enterprises, with successful collaborations across the US and EU healthcare sectors. They deliver scalable, AI-driven healthcare products in compliance with regulations while striking a balance between innovation and security.

• Founded in: 2016
• Headquarters: East Brunswick, NJ, USA
• Hourly rate: Undisclosed
• Industry expertise: Healthcare, Finance, Retail, Logistics
• Website: caliberfocus.com

CaliberFocus is an AI-first technology firm that delivers scalable, compliance-driven solutions tailored for regulated sectors, especially healthcare. By using Generative AI, predictive analytics, and automation, they help clients streamline workflows and enhance diagnostic and patient care systems. Their packaged offerings include AI as a Service, data analytics, application development, and managed IT services, all built for healthcare’s high compliance needs.

• Founded in: 2022
• Headquarters: Bengaluru, India
• Hourly rate: $25-$49/h
• Industry expertise: Healthcare, Retail, E-commerce, Enterprise Software
• Website: goml.io

GoML specializes in AI and machine learning solutions with strong adoption across healthcare, where precision and compliance are critical. Their expertise lies in custom model development, data engineering, and workflow automation, making them a valuable partner for providers seeking to improve diagnostic accuracy and patient engagement. With a proven record in developing predictive analytics platforms and medical AI assistants, GoML positions itself among the most reliable AI companies that healthcare organizations can collaborate with.

• Founded in: 2013
• Headquarters: Marlborough, USA
• Hourly rate: $50-$99/h
• Industry expertise: Healthcare, FinTech, Retail, Education
• Website: quantiphi.com

Quantiphi is a leading applied data science and AI healthcare software development company with deep domain expertise in healthcare. They focus on scalable AI solutions for medical imaging, clinical decision support, and patient data analytics. By leveraging cloud-native architectures and regulatory-compliant frameworks, Quantiphi helps providers modernize care delivery while ensuring safety and accuracy. Its position as one of the top AI healthcare companies is strengthened by partnerships with Google Cloud, AWS, and NVIDIA, enabling it to drive innovation at enterprise scale.

• Founded in: 2013
• Headquarters: Mohali, India
• Hourly rate: $25-$49/h
• Industry expertise: Healthcare, Real Estate, FinTech, Enterprise Software
• Website: suffescom.com

Suffescom Solutions offers end-to-end AI-driven digital products, with a focus on blockchain and data intelligence. In healthcare, they deliver solutions for EHR integration, patient data management, and predictive analytics. Their ability to merge decentralized technologies with health data positions them as one of the more forward-looking AI and healthcare companies with a focus on secure, privacy-focused, scalable, modern and interoperable systems.

• Founded in: 2006
• Headquarters: Chennai, India
• Hourly rate: $15-$25/hr
• Industry expertise: Healthcare, E-commerce, FinTech, Enterprise Apps
• Website: inoru.com

INORU develops custom AI and mobile software with a growing footprint in healthcare. Their teams work on patient engagement platforms, appointment scheduling apps, and AI-powered chatbots for healthcare providers. As one of the adaptable AI healthcare software development companies, INORU combines affordability with scalable development, making it a solid choice for startups and mid-sized organizations seeking digital health solutions.

• Founded in: 2015
• Headquarters: Bengaluru, India
• Hourly rate: $25-$49/h
• Industry expertise: Healthcare, AI, Medical Imaging
• Website: sigtuple.com

SigTuple is an India-based company focused on transforming medical diagnostics with computer vision and deep learning. Their AI-powered platforms analyze pathology slides, radiology scans, and other diagnostic data to improve speed and accuracy as well as provide their clients' patient with with extra trust. With strong clinical validation and global adoption, SigTuple stands among the most innovative AI companies intitutions can collaborate with for lab automation and diagnostic support.

• Founded in: 2010
• Headquarters: San Francisco, USA
• Hourly rate: $50-$99/h
• Industry expertise: Healthcare, FinTech, Blockchain, Enterprise Software
• Website: leewayhertz.com

LeewayHertz is an AI healthcare software development company that specializes in enterprise-grade solutions using AI, blockchain, and IoT. Their healthcare projects include telemedicine platforms, AI-based diagnostics, and patient engagement systems. Recognized among top health tech AI providers, LeewayHertz combines technical innovation with deep domain expertise to deliver scalable solutions for global clients.

• Founded in: 1997
• Headquarters: New York, USA
• Hourly Rate: $50-$99/h
• Industry Expertise: Healthcare, FinTech, Media, Travel
• Website: dataart.com

DataArt is a leading provider of AI-driven software solutions for healthcare institutions, focusing on EHR optimization, clinical data analytics, and telehealth systems. They have multidisciplinary teams that leverage machine learning to enhance diagnostic accuracy and operational efficiency. DataArt is regarded as a reliable AI healthcare software development companies partner for enterprises seeking robust, scalable digital health solutions.

• Founded in: 2008
• Headquarters: Miami, USA
• Hourly rate: $25-$49/h
• Industry expertise: Healthcare, FinTech, Enterprise Applications
• Website: devoxsoftware.com

Devox Software delivers AI-powered healthcare applications with a focus on predictive analytics, patient management, and operational automation. Their solutions enhance clinical workflow efficiency and facilitate more informed decision-making for healthcare providers. Known for being among the AI companies that healthcare organizations trust, Devox Software combines strong technical capabilities with hands-on knowledge of the healthcare industry.

To showcase the top AI HealthTech companies, we focused on the key criteria that ensure each can deliver high-quality, secure, and scalable solutions. Below are the main aspects we considered.

Exclusive experience in MedTech is usually the first factor healthcare businesses consider. We prioritized companies with proven track records in projects with hospitals, insurers, and pharmaceutical providers. Our evaluation also included media mentions, client testimonials, and partnerships with medical institutions to confirm industry expertise. Importantly, we focused on providers that leverage AI to enhance healthcare workflows and process critical data, highlighting true leaders among AI and healthcare companies.

We evaluated each company’s ability to work with critical health regulations and standards, like:

• HIPAA, HITECH, CCPA/CPRA (USA): protection of medical and personal data
• FDA Regulations (USA): regulation of medical devices, software, and pharmaceuticals
• GDPR (EU): protection of personal and medical data
• MDR, IVDR (EU): regulation of medical devices and diagnostic software
• Data Protection Act, NHS Toolkit (UK): data protection and standards for NHS
• PIPEDA (Canada): rules for handling personal and medical data by private companies
• My Health Records Act (Australia): security of the national digital health system
• DVG (Germany): regulation of digital health applications (DiGA)

Our experts paid particular attention to FHIR/HL7 implementation, ensuring smooth interoperability between electronic health records and clinical systems. In our list, all the companies demonstrate a strong foundation for safe, legally compliant solutions.

For example, we at Cleveroad develop healthcare solutions that comply with:

• HIPAA
• HITECH
• TX-HB300
• HL7
• CDA, and more.

Compliance guarantees that patient data is handled securely and legally, while certifications reflect their commitment to quality and risk management. For example, companies that have successfully navigated FDA approval for AI diagnostic tools demonstrate a high level of technical rigor and understanding of regulatory requirements, which is crucial for any healthcare AI project.

Our team has a great expertise in helping our healthcare clients meet tricky regulatory landscape. Here’s one of our recent cases – IoT-based System of Human Hydration Monitoring in Real-Time.

Cleveroad developed a cross-platform Flutter application for a US-based scientific and commercial company to monitor human hydration levels in real time. The solution was integrated with Bluetooth IoT hydration sensors for real-time data tracking. It also connected seamlessly with the client’s PaaS platform to support scalable services. All workflows and data handling complied with FDA 510(k) Medical Device Registration and other healthcare regulations. We also delivered a web-based admin panel for user management, training, and care program creation.

Our, client received a fully compliant, scalable IoT-based hydration monitoring system that synchronized sensor data across platforms, and supports ongoing PaaS maintenance and improvements. The solution enabled the customer to launch multiple partnership programs, expand its presence, and pursue FDA clearance with confidence.

We assessed the sophistication of AI approaches, including machine learning, deep learning, and multimodal models capable of handling imaging, clinical notes, and structured data simultaneously. Leading IT providers in our list leverage a modern tech stack for AI healthcare projects, including Python, TensorFlow, PyTorch, and cloud platforms such as AWS and Azure, along with HL7/FHIR integrations and EHR/EMR connectivity. These companies tackle complex healthcare challenges and deliver accurate predictive insights.

Below, you can examine a basic technology stack we use at Cleveroad to deliver AI-based MedTech projects:

Expertise in action:

For example, recently Cleveroad’s team developed an AI-driven Intelligent Document Processing (IDP) solution to streamline insurance workflows by analyzing document processes, identifying bottlenecks, and designing a proof of concept for automated classification and data extraction across key use cases. The PoC demonstrated a 75% faster processing speed, validating the efficiency and impact of AI automation in insurance document handling, and as a result.

We evaluated healthcare AI companies on their ability to deploy healthcare software solutions in hybrid environments, both on-premises and in the cloud, ensuring resilience to evolving healthcare data. The right AI platform allows organizations to automatically process information, improve workflow, and help healthcare providers enhance outcomes. Choosing partners with modern healthcare technology approaches ensures your organization can scale securely and adapt to future clinical demands.

To be included into the list, each AI healthcare software development company had to utilize privacy-preserving ML techniques, robust encryption, MLOps-secure practices, and certifications like ISO and SOC 2. Strong frameworks ensure safe handling of sensitive patient data and extra layer of safety for operating it.

Here are the primary security measures in healthcare AI we searched for:

• End-to-end data encryption (at rest and in transit)
• Privacy-preserving machine learning (federated learning, differential privacy)
• HIPAA and GDPR compliance
• ISO 27001 and SOC 2 certifications
• Secure MLOps pipelines for model training and deployment
• Role-based access control (RBAC) and audit logging
• Regular security audits and penetration testing
• Data anonymization and pseudonymization for patient records

Now let’s turn to what you can do on your side. Here are practical tips on how, as a healthcare business, you can assess an AI healthcare software development company’s expertise, even without a technical background.

You can start by carefully examining the company’s previous projects. Look for real-world deployments of MedTech software solutions, launch of AI solutions in healthcare settings, highlighting projects with private, enterprise-level facilities, clinics, etc. A strong portfolio demonstrates technical capabilities and also proves the vendor’s understanding of healthcare workflows, challenges, and providers' pain points. Also, check if the company has successfully implemented solutions similar to what you need, to ensure you’ll match on goals and approach understanding.

Assess the company’s ability to integrate their AI solutions with existing healthcare systems, such as healthcare EHR/EMR. True expertise involves ensuring interoperability across platforms and seamless data exchange, which is critical for maintaining consistent patient records, improve care, compliance, and workflow efficiency. Ask for examples of prior integrations to confirm they can connect AI tools effectively within your environment.

At Cleveroad, we successfully integrate AI into these healthcare solutions:

• EHR/EMR
• Medical imaging software
• Telemedicine platforms
• Remote patient monitoring solutions
• Medical billing software
• Healthcare CRM
• Appointment scheduling software, etc.

Client feedback is one of the most reliable indicators of a company’s competence. Review ratings and reviews on platforms like Clutch, GoodFirms, or direct client recommendations. Positive, detailed testimonials provide insight into delivery reliability, responsiveness, and the company’s ability to meet healthcare-specific requirements. Companies with consistently strong feedback are more likely to deliver solutions that meet both technical and clinical expectations.

For instance, here’s what one of our clients say about cooperation with Cleveroad:

We at Cleveroad have over 13 years of experience delivering high-quality digital solutions, with a strong focus on the healthcare domain. We help medical businesses of all sizes implement robust solutions that address internal operational needs while providing patients with high-quality digital tools to enhance their care experience.

Here are the benefits you’ll receive by cooperating with us:

• AI Discovery Workshops with our integrators and Healthcare Solution Architects to define suitable AI use cases matching your medical business needs
• Deep capabilities of integrating AI into healthcare systems like EHR/EMR, telemedicine platforms, CRMs to add automation, analytics, and decision support.
• Extensive expertise in healthcare regulations (HIPAA, PIPEDA, ACA, HL7), guaranteeing compliance, legal safety, and secure handling of sensitive patient data
• AI Proof of Concept (PoC) services to validate health AI model business impact and compatibility with your infrastructure before committing to full-scale deployment.
• Scalable, secure AI solutions leveraging AWS-native tools like SageMaker and Glue, enabling fast deployment, robust performance, and minimal infrastructure overhead.

To prove our expertise, we’d like to showcase our recent case – Quality Management System for Medical Device Manufacturer.

Prime Path Medtech™ reached out to us to replace their legacy Quickbase-built QMS that was failing to meet modern B2B SaaS needs. We developed a fully automated QMS from scratch to streamline document flow and processes critical for FDA and ISO certification. Our 9-member team provided full-cycle development, business analysis, and consulting to ensure every requirement was addressed.

We built a robust QMS architecture aligned with the client’s workflows and compliance standards, including FDA 21 CFR 820, 21 CFR 11, and ISO 13485. Automation replaced manual operations, creating a flexible, user-friendly platform that improves efficiency and scales with business growth.

As a result, our customer received a tailored QMS, QSuite, which fully integrated into Prime Path Medtech™ services. Manufacturers can meet FDA and ISO certification requirements, while the client benefits from lower operational costs, enhanced competitiveness, and higher user satisfaction due to intuitive UI/UX and streamlined workflows.

Here’ what Breanne Butler, Client Liaison Officer at Prime Path Medtech™ says about our collaboration: