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 61–70 of 173 agencies
Mobile App Development, UI/UX Design, Web
Reuben Hall
CEO
MindSea is a mobile app development company headquartered in Halifax, Nova Scotia, Canada, founded in 2007 and now led by CEO Reuben Hall. The company specializes in mobile and web application development for regulated industries such as digital health, with additional teams in Toronto and Boston.
AI Development, Software Development, UI/UX Design,
Eitan Haik
CEO & Founder
GenAI.Labs is a USA-based AI development agency headquartered in Los Angeles. The company works across AI agents, generative AI, machine learning, computer vision, RAG, chatbots, workflow automation and AI-native products. Its public portfolio includes projects for organizations across healthcare, technology, government, media and other industries.
AI Development, Software Development
Piyush Bhatt
Founder & CEO
AI Software LLC is a Michigan-based software development company working on artificial intelligence, custom applications, automation, and business software. Its services are focused on applying AI and software engineering to operational processes and purpose-built business applications.
AI Development, Software Development
Mohsin Riaz
Founder & CEO
MindRind is a New York-area AI software development agency focused on artificial intelligence applications, automation, machine learning, and custom software. The company works with organizations that need AI capabilities integrated into products, internal systems, and business workflows.
AI Development, Software Development, UI/UX Design,
Alan Maxwell
Founder & CEO
MMC Global is an Austin-based software and mobile application development company providing custom software, AI development, web and mobile applications, and digital transformation services. Its portfolio includes enterprise applications and AI solutions such as chatbot development, with projects delivered for startups, SMEs, and larger organizations.
AI Development, Software Development, Data Engineering,
Raj Joseph
Founder & CEO
Intellectyx is a US-based data and digital engineering company headquartered in Los Angeles, with an additional Denver office. Its current services focus on enterprise agentic AI, generative AI, enterprise knowledge AI, data platforms, integrations, analytics, and custom AI systems designed for production environments.
AI Development, Software Development
Guy Pistone
Founder & CEO
Valere Labs is a Massachusetts-based custom application development company working across software development and AI. Its engineering capabilities include machine learning and AI-enabled applications, with experience delivering digital products for consumer and B2B organizations across healthcare, finance, sports, education, and other industries.
AI Development, Software Development, Staff Augmentation,
Preeti Sood
Founder & CEO
Trigma is a Las Vegas-based technology company focused on AI-driven software and digital products. Its current capabilities include AI agents, multi-agent systems, generative AI, custom software, mobile and web applications, cloud, and DevOps. The company works with organizations across sectors including healthcare, education, real estate, manufacturing, fintech, and government.
AI Development, Staff Augmentation, Software Development,
Nico Pasecinic
Founder & CEO
UPQODE combines digital product development with AI-enabled technologies to create intelligent web experiences and business solutions. Its capabilities include AI integration, automation, custom software development, UI/UX, and digital engineering for businesses seeking smarter and more scalable digital products.
Software Development, AI Development, Data Engineering,
Alexander Makarov
Founder & CEO
NEKLO develops AI-powered software, agentic AI solutions, intelligent chatbots, and AI-enabled business applications. Its services combine AI development with custom software, enterprise systems, web and mobile development, helping organizations automate workflows and improve operational efficiency.
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.
