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 81–90 of 173 agencies
Custom Software Development, AI Development, Mobile
Dmytro Kovalenko
Founder & CEO
Uptech is a product development studio headquartered in Kyiv, Ukraine, founded in 2016, with an additional office in Cyprus, building custom software, mobile apps, and AI-powered products for startups and scale-ups.
Custom Software Development, Web Development, Mobile
Gustavo Reyes
CEO
Alluxi is a custom software development company headquartered in Monterrey, Mexico, led by CEO Gustavo Reyes. The firm builds custom web, mobile, and AI-driven applications, with a particular focus on healthcare platforms, HR tools, and education systems, operating as a nearshore partner for US and Latin American clients.
Mobile App Development, Web Development, Mobile
Daniel Gorlovetsky
Founder and CEO
TLVTech is a software development company headquartered in Tel Aviv-Yafo, Israel, founded and led by CEO Daniel Gorlovetsky. The company provides full-stack web and mobile development, AI development, cloud consulting, and DevOps/QA automation services for startups, with additional offices in New York and London.
App Development, Software Development, Testing Services,
Gurpreet Singh
CEO & Director
Debut Infotech builds AI-driven automation solutions and blockchain/Web3 products alongside custom software and mobile app development. It works with retail, fintech, logistics, and education clients, delivering ML models for business-process automation as well as Solana-based decentralized applications. Its strongest expertise is applied AI/ML automation paired with blockchain engineering, a less common combination among Indian dev shops.
AI Development, Software Development, Digital Engineering,
Vikas Kaushik
CEO
TechAhead is an AI development company offering AI consulting, AI agent development, chatbot development, conversational AI, generative AI, LLM development, machine learning, AI engineering, and AI integration. The company builds intelligent web, mobile, and enterprise solutions that automate processes, improve customer experiences, and help businesses adopt AI effectively.
Software Development, Digital Engineering, Data Engineering,
Sanket Sahu
Founder
GeekyAnts delivers AI development services that help businesses turn complex requirements into practical intelligent solutions. Its expertise covers AI agents, chatbots, conversational AI, generative AI, LLM development, machine learning, AI engineering, and AI integration, with solutions designed for web, mobile, and enterprise applications.
AI Development, Mobile App Development, UI/UX
Siddharth Garg
Founder
Quytech is an AI development company specializing in artificial intelligence, machine learning, generative AI, mobile apps, and custom software. Its team builds intelligent applications and digital products for startups and enterprises. The company focuses on creating scalable solutions that can improve efficiency, user experience, and business operations while adapting to the specific requirements of each project.
Software Development, UI/UX Design, App Development,
Rajiv Shukla
Founder & CEO
Globtier delivers AI chatbot and conversational AI solutions for businesses looking to improve customer interaction and automate communication. Its expertise includes AI integration, machine learning, intelligent automation, and enterprise software development for scalable chatbot and digital assistant solutions.
Custom Software Development, Mobile App Development
Rakesh Patel
Founder & CEO
Space-O Technologies delivers custom software solutions focused on mobile applications, web development, SaaS platforms, and AI-powered digital products. Its services cover custom software development, AI and machine learning, mobile and web app development, SaaS development, and API integration, helping businesses build scalable digital products and modernize their technology capabilities.
E-Commerce Development, Web Development, Custom Software
Tushar Mehta
CEO
Mobikasa is a global digital agency specializing in eCommerce, web and mobile app development, UI/UX design, digital marketing, and custom software solutions. The company helps brands build, optimize, and scale digital commerce experiences through services including Shopify and Magento development, replatforming, cloud solutions, AI & ML, accessibility, and conversion optimization
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.
