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.
Showing 91–100 of 173 agencies
AI Development, Software Development, Mobile App
Bharat Khatau
Chairman & CEO
Trigent Software is an IT services and enterprise application development company founded in 1995, headquartered in Southborough, Massachusetts, delivering AI, application modernization, and ERP consulting services to enterprise clients.
Software Development, AI Development, Mobile App
Boris Kontsevoi
CEO & Founder
Intetics is a custom software development and IT outsourcing company founded in 1995, headquartered in Naples, Florida, with delivery centers in Poland and Ukraine, serving medical, GIS, financial services, and e-commerce clients.
Custom Software Development, Mobile App Development,
Tim Hamilton
Founder & CEO
Praxent is a financial technology consulting and engineering firm founded in 2000 and headquartered in Austin, Texas. It specializes in end-to-end digital transformation for banks, credit unions, and fintechs, helping clients modernize legacy systems and launch custom digital products. Clutch has named Praxent a top custom software development company in Texas.
Custom Software Development, AI Development, Data
Divyesh Patel
Founder & CEO
Radixweb is a custom software development and product engineering company founded in 2000 and headquartered in Ahmedabad, Gujarat, India, with additional offices in the US, Canada, Australia, and Morocco. The company has delivered projects for 4,200+ clients across 25 countries.
Software Development, AI Development, Mobile Application
Shail Sinhasane
Founder & CEO
Mobisoft Infotech is a custom software and mobile app development company founded in 2009, with an India development center in Pune, Maharashtra and a US office in Houston, Texas. It builds iOS, Android, and web applications for clients in healthcare, sports, transportation, retail, and e-commerce.
Custom Software Development, Web Development, UX/UI
Artur Bachynskyi
Co-Founder & CEO
Django Stars is a full-cycle custom software development company founded in 2008 and headquartered in Kyiv, Ukraine, specializing in Python/Django engineering. It builds SaaS platforms, fintech applications, and healthcare software for startups, mid-size companies, and Fortune 500 enterprises.
Custom Software Development, E-Commerce Development, IT
Marius Hanganu
Managing Director
Tremend Software Consulting is a Bucharest, Romania-headquartered software engineering firm founded in 2005, providing custom software development, digital transformation, and IT consulting to telecom, finance, banking, automotive, and healthcare clients across Central and Eastern Europe. In January 2022 it was acquired by Publicis Groupe and now operates as part of Publicis Sapient.
Application Development, UI/UX Design, Web Development,
Mitul Makadia
Founder & CEO
Maruti Techlabs provides AI and generative AI development, custom software engineering, and cloud/data solutions, with particular depth in conversational AI, machine learning, and computer vision. The company works with clients across retail, healthcare, real estate, and logistics, building everything from ML-driven prediction tools to data analytics dashboards. Its strongest expertise lies in applied AI/ML product development layered on solid full-stack and cloud engineering capability.
AI Development, App Development, UI/UX Design,
Prayaag Kasundra
Founder & CEO
Simform delivers product engineering, AI/agentic AI development, and cloud consulting services, with a strong specialization in modernizing legacy platforms and building scalable custom software. It serves clients in edtech, fintech, life sciences/biotech, and enterprise SaaS, handling everything from AWS-based backend architecture to AI-driven data analysis tools. Its standout strength is full-cycle product engineering that pairs deep cloud/DevOps expertise with emerging AI capabilities.
AI Development, Software Development, Mobile App
Tarun Khatri
CEO
The NineHertz is a Jaipur-based technology company positioning itself around AI-native engineering, offering AI development, machine learning, computer vision, and chatbot solutions alongside custom software, enterprise app modernization, and mobile development for clients from startups to enterprises, including vertical SaaS platforms. Its strongest expertise combines applied AI with enterprise modernization and cross-platform mobile engineering.
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.
Choosing the right technology partner can be challenging when you have many companies to compare. RatedFirms brings important business information together in one place, helping you evaluate IT service providers with greater clarity and confidence.
Explore detailed company profiles with key information such as services, expertise, team size, location, project requirements, and other business details.
Read client reviews and ratings to understand how companies have performed on real projects and what their customers say about their services.
Compare IT service providers based on their expertise, experience, services, ratings, reviews, pricing, and other relevant factors before making a decision.
Explore companies by specific IT services and areas of expertise, making it easier to identify providers that match your technology requirements.
Discover IT service providers from different countries, cities, and regions through a single B2B platform built for business and technology needs.
RatedFirms helps businesses evaluate technology partners using structured company information, reviews, ratings, and service expertise—so they can make more informed hiring decisions.
Client reviews offer valuable insights into a company's actual work and customer experience. RatedFirms uses human review to assess feedback and help users understand how companies communicate, manage projects, and deliver services.
Not every IT company offers the same level of expertise or services. RatedFirms uses relevant ranking criteria to help users compare companies, understand their strengths, and identify providers that suit their project requirements.
Businesses can explore IT service providers across different locations and industries through RatedFirms. From software development firms to web and mobile app development companies, our platform helps users discover potential partners for different projects and business needs.
Before contacting a service provider, businesses need to know who they are working with. RatedFirms offers company profiles with details such as services, areas of expertise, and available business information, helping users research potential partners before making contact.
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.
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.
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.
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.
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:
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.
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.
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.
