Top Healthcare AI Development Companies & Firms in 2026

Healthcare organizations need AI solutions that fit clinical workflows, protect patient information, and produce dependable results. AI development companies for healthcare help healthcare businesses evaluate and implement artificial intelligence for clinical data analysis, healthcare software, and operational decision-making. Their capabilities may include machine learning, predictive analytics, medical data processing, and AI integration, depending on the company's experience and project focus.

Choosing a suitable company requires careful consideration of healthcare experience, technical expertise, data privacy, and system compatibility. RatedFirms helps businesses compare through available company profiles, client reviews, technical capabilities, team size, and project budgets. These details help healthcare organizations assess potential partners and shortlist companies that align with their project requirements.

List Of AI Development Companies For Healthcare

Showing 161–170 of 173 agencies

Mindbowser

Verified

Software Development, Healthcare AI, HIPAA Compliance,

Ayush Jain

CEO

Mindbowser is a Pune, India-headquartered outsourced product development company founded in 2012. It specializes in healthcare software, building HIPAA-compliant digital health platforms, telehealth and remote-patient-monitoring tools, and EHR/EMR integrations using HL7/FHIR standards, alongside broader custom web and mobile app development. Its primary industry focus is healthcare and digital health, though it also serves general SaaS and startup clients. Its strongest and most differentiated expertise is healthcare-specific software and emerging healthcare AI solutions.

Team Size250-999
LocationPune, India
Min. Project$50,000+
Hourly Rate$25-$49/hr
Software Development Healthcare AI HIPAA Compliance Telehealth Development Remote Patient Monitoring HL7/FHIR & EMR/EHR Integration Mobile App Development (React Native Flutter) Web Development (.NET Ruby on Rails Angular React Node.js) Custom Software/Product Development UX/UI Design

Suffescom Solutions Inc

Verified

Mobile App Development, Web Development, Blockchain

Gurpreet Singh Walia

Chief Executive Officer

Suffescom Solutions is a software development company founded in 2013 in Mohali, Punjab, India, that builds custom mobile and web applications, blockchain/Web3 platforms, and AI-driven features such as recommendation engines, chatbots, and NLP tools. It serves financial services and healthcare clients primarily, as well as e-commerce, real estate, and crypto/Web3 startups, frequently taking projects from no-code prototypes to scaled, production mobile marketplaces. Its strongest area of expertise is blockchain/Web3 app development combined with AI feature integration layered onto its core full-cycle mobile and web development practice.

Team Size250-999
LocationMohali, India
Min. Project$25,000+
Hourly Rate$25-$49/hr
Mobile App Development Web Development Blockchain Development AI Development (Recommendation Systems Chatbots NLP Machine Learning) AR & VR Development React Native Flutter Node.js Next.js Cloud (AWS Azure Google App Engine)

OpenXcell

Verified

Mobile App Development, Web Development, Custom

Jayneel Patel

Founder & CEO

OpenXcell is an IT consulting and custom software development company whose services span mobile/web app development, blockchain, and increasingly generative AI work including LLM development and RAG-as-a-service offerings. Its strongest positioning is as an offshore product-engineering partner for startups and SMBs needing full-cycle outsourced builds at lower cost than US-based teams, with growing emphasis on AI consulting layered on its custom development practice.

Team Size250-999
LocationAhmedabad, India
Min. Project$10,000+
Hourly Rate$25-$49/hr
Mobile App Development Web Development Custom Software Development Blockchain Generative AI LLM Development RAG as a Service AI Consulting Low/No Code Development UX/UI Design Cloud & DevOps Systems Integration

SoftServe

Verified

Custom Software Development, Enterprise App Modernization,

Andriy Stytsyuk

Chief Executive Officer

SoftServe is a digital consulting and software engineering firm that builds custom applications, cloud platforms, and increasingly AI-driven solutions, with particular depth in enterprise application modernization, big-data/BI systems, and IT strategy consulting. It serves regulated and complex industries such as healthcare, financial services, retail, and energy, drawing on large US and Central/Eastern European delivery teams, layering generative-AI and machine-learning capability onto its longstanding custom-software practice.

Team Size10,000+
LocationAustin, USA
Min. Project$50,000+
Hourly Rate$100-$149/hr
Custom Software Development Enterprise App Modernization IT Strategy Consulting AI Development Application Testing Blockchain Cloud Consulting & SI Cybersecurity E-Commerce Development IoT Development UX/UI Design

Grid Dynamics

Verified

Digital Engineering, AI & Machine Learning,

Leonard Livschitz

Chief Executive Officer

Grid Dynamics is a digital engineering and applied-AI company that helps large enterprises modernize technology platforms, build data and analytics pipelines, and deploy AI-driven search, recommendation, and merchandising systems. It works primarily with retail, consumer packaged goods, manufacturing, insurance, and life-sciences clients, pairing large-scale platform engineering with generative-AI and machine-learning solutions such as its enterprise search and merchandising work for retailers.

Team Size4,964
LocationSan Ramon, USA
Min. Project$10,000+
Hourly Rate$25-$49/hr
Digital Engineering AI & Machine Learning Cloud Migration Application Development

NTT DATA

Verified

Mobile App Development, Web Development, AI

Kazuhiko Nakayama

President

NTT DATA is a Japan-headquartered, large-scale IT services and consulting company within the NTT group that provides systems integration, application development, cloud migration, cybersecurity, SAP consulting, and business-process outsourcing to enterprises and governments worldwide. It serves banking, insurance, healthcare, manufacturing, automotive, retail, and public-sector clients at global scale, and has been expanding into generative AI, including its own large language model, tsuzumi.

Team Size50-249
LocationTokyo, Japan
Min. Project$5,000+
Hourly Rate$25/hr
Mobile App Development Web Development AI Development IT Staff Augmentation E-Commerce Development

Globant

Verified

Digital Transformation, AI/Generative AI Consulting, Cloud

Martín Migoya

Co-Founder, Chairman & CEO

Globant is a digitally-native IT and software engineering company that builds custom software, cloud platforms, UX/UI, and mobile products, and has pivoted toward generative-AI-driven delivery through its AI-native positioning and AI partnerships. It serves media & entertainment, retail, banking, sports, travel, and consumer goods clients globally, with particularly deep expertise in large-scale digital commerce and platform modernization for major global brands.

Team Size28,000+
LocationLuxembourg City, Argentina
Min. Project$5,000+
Hourly Rate$25-$49/hr
Digital Transformation AI/Generative AI Consulting Cloud Consulting UX/UI Design Mobile App Development Data & Analytics Web Development

N-iX

Verified

AI Development, BI & Big Data

Pavlo Deshchynskyy

Chief Executive Officer

N-iX is a Ukraine-founded custom software development company that builds digital products, cloud solutions, and data platforms for clients in finance, retail, healthcare, logistics, and automotive. Its services include AI-augmented software engineering, generative AI and AI-agent development, cloud migration/DevOps, and data engineering, typically delivered through dedicated development teams and staff augmentation. N-iX is particularly recognized for combining large-scale custom engineering delivery with applied AI and data-analytics work for mid-size and enterprise clients.

Team Size1,000-9,999
LocationLviv, Ukraine
Min. Project$100,000+
Hourly Rate$50-$99/hr
AI Development BI & Big Data Consulting Custom Software Development Cloud Consulting IT Staff Augmentation Data Engineering

Elsner Technologies

Verified

Custom Software Development, E-Commerce Development, Mobile

Harshal Shah

CEO

Elsner Technologies is an Ahmedabad-based digital transformation provider offering custom software development, ecommerce platform engineering, and mobile app development alongside UX/UI design and digital marketing services. It serves SMB and enterprise clients across retail, e-commerce, and services sectors, with particular depth in Shopify, Magento, and WooCommerce storefront builds.

Team Size50-249
LocationAhmedabad, India
Min. Project$5,000+
Hourly RateUnder $25/hr
Custom Software Development E-Commerce Development Mobile App Development UI/UX Design Digital Marketing & SEO

LeewayHertz

Verified

AI Development, Custom Software Development, Mobile

Akash Takyar

Founder & CEO

LeewayHertz is a Gurugram-headquartered AI and software engineering company, now part of The Hackett Group, that designs and builds custom AI platforms, generative AI and LLM applications, and full-stack web and mobile software for startups, scale-ups, and enterprises. Its service range spans AI consulting and deployment, blockchain/Web3, data engineering, and dedicated-developer staffing across finance, insurance, manufacturing, logistics, and healthcare clients.

Team Size50-249
LocationGurugram, India
Min. Project$10,000+
Hourly Rate$50-$99/hr
AI Development Custom Software Development Mobile App Development Web Design
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Need Help Shortlisting AI Development Companies for Healthcare?

Compare company profiles, healthcare industry experience, technical capabilities, client feedback, and project budgets to build a focused shortlist. Contact RatedFirms to discuss your company discovery requirements and explore available information that can help you evaluate AI development companies for your healthcare project.

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How to Choose an AI Development Company for Healthcare

Define Your Healthcare AI Requirements

Start by identifying the business or clinical workflow your organization wants to improve. Set clear project goals, data requirements, expected outcomes, and technical constraints before comparing AI development companies for healthcare. A defined scope makes it easier to assess relevant experience and avoid companies whose capabilities do not match your needs.

Review Healthcare Experience and Previous Projects

Look for companies with experience in healthcare environments and projects relevant to your requirements. Review their portfolios, case studies, AI expertise, and familiarity with sensitive medical information. Previous work can help you understand whether a company has handled similar technical challenges, although its claims and project outcomes should be verified directly.

Compare Company Profiles, Reviews, and Pricing

Use company profiles and client feedback to compare relevant experience, technical capabilities, team size, hourly rates, and minimum project budgets. RatedFirms helps businesses assess these details when reviewing AI development companies for healthcare. Compare companies against the same project requirements rather than relying on ratings or pricing alone.

Assess Data Security and System Compatibility

Healthcare AI projects may involve confidential records, existing healthcare software, and strict operational requirements. Ask shortlisted companies how they protect sensitive data, validate model performance, integrate with current systems, and handle testing and deployment. Clarify ongoing monitoring, maintenance, and applicable compliance responsibilities before making a final decision.

How We Evaluate AI Development Companies for Healthcare

RatedFirms reviews available company profiles, client feedback, and technical information to help businesses compare AI development companies for healthcare. The evaluation focuses on healthcare industry experience, AI capabilities, and relevant project work. These details help buyers understand whether a company's background aligns with their clinical, operational, or healthcare data requirements.

Our comparison also considers the following factors where information is available:

  • Healthcare industry experience: Previous projects involving healthcare data, clinical workflows, or healthcare systems.
  • AI and technical capabilities: Expertise relevant to the intended application, including model development, data analysis, and system integration.
  • Client reviews and project history: Feedback and case studies that provide context about previous engagements.
  • Team size and project costs: Available details about company size, hourly rates, and minimum project budgets.
  • Data protection and reliability: Experience with sensitive patient information, model testing, system compatibility, and applicable compliance requirements.

These factors help healthcare organizations compare potential partners and build a shortlist based on their project needs. Since company profiles may not contain the same level of detail, buyers should confirm relevant experience, security practices, technical capabilities, and compliance responsibilities directly with shortlisted companies.

Mistakes to Avoid When Choosing a Healthcare AI Company

Choosing a company without relevant healthcare experience: General AI expertise does not automatically demonstrate an understanding of clinical workflows or healthcare data. Review relevant projects and case studies to determine whether a company's experience matches your requirements.

Overlooking patient data protection: Healthcare applications can involve confidential patient records and sensitive medical information. Assess data handling practices, access controls, security measures, and applicable privacy requirements before selecting a company.

Assuming AI outputs are always reliable: AI-generated insights and predictions can contain errors or reflect limitations in the underlying data. Ask how the company tests model performance, evaluates accuracy, monitors results, and supports appropriate human review.

Ignoring integration and maintenance requirements: An AI solution must fit the healthcare organization's existing systems and workflows. Discuss integration dependencies, testing, deployment, ongoing monitoring, and maintenance before comparing project estimates.

Questions to Ask Before Hiring an AI Development Company for Healthcare

  1. What experience do you have with healthcare AI projects? Ask for relevant case studies and details about the company's role, technical contribution, and project outcomes.
  2. How do you test the accuracy and reliability of AI models? Discuss validation methods, performance measures, limitations, and human oversight where needed.
  3. How will you protect patient information? Review data access controls, security practices, retention policies, and the handling of sensitive healthcare records.
  4. Can your solution work with our existing healthcare systems? Ask about relevant integration experience, system compatibility, and technical requirements.
  5. How do you address healthcare compliance requirements? Clarify how the proposed solution supports applicable privacy, security, documentation, and governance obligations.

FAQs

Consider healthcare industry experience, AI expertise, relevant project portfolios, client reviews, and technical capabilities. Also compare team size, minimum project budgets, hourly rates, security practices, and integration experience. These factors help you assess whether a company aligns with your organization's needs.

Review company profiles, previous healthcare projects, technical capabilities, client feedback, and pricing information. Compare companies against the same project requirements and verify important claims directly. For healthcare applications, pay particular attention to data protection, model reliability, and experience with relevant systems.

Costs depend on project complexity, data availability, AI model requirements, system integration, testing, deployment, and ongoing maintenance. Security requirements and the need for specialized validation can also affect the budget. Request a detailed estimate that separates initial development from recurring costs.

Healthcare projects involve specialized workflows, sensitive patient information, and requirements for reliable outputs. Relevant industry experience can help a company understand these constraints and plan suitable testing, integration, and data protection measures. Review previous projects rather than relying on general AI expertise alone.

Review available client feedback, company profiles, case studies, technical capabilities, and project history. Ask about the company's role in previous engagements and request references where possible. Verify its security practices, relevant experience, and ability to meet your project requirements before making a decision.

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