CI-IA Centro de Inovação em Inteligência Artificial para a Saúde

What CI-IA Centro de Inovação em Inteligência Artificial para a Saúde does

CI-IA Centro de Inovação em Inteligência Artificial para a Saúde (CIIA-Health) is a multidisciplinary, multi-institutional research center hosted at the Universidade Federal de Minas Gerais (UFMG) in Belo Horizonte, Brazil, selected in May 2021 as one of six AI research centers in Brazil through the FAPESP-MCTIC-CGI.BR competitive grant call. The center develops artificial intelligence techniques—including deep neural networks, machine learning ensembles, large language models, transformers, and Visual Foundation Models—applied across five health thematic axes: prevention, diagnosis, personalized medicine, health systems, and epidemics. Notable research outputs include a deep neural network ECG-age mortality risk model published in Nature Communications and machine meta-learning models for COVID-19 mortality prediction using large Brazilian hospital datasets. The center engages 95-130+ affiliated researchers with CNPq productivity grants (19 of which rank among Brazil's top researchers), spanning computer science, physics, electrical engineering, medicine, pharmacy, nursing, and biochemistry across 20+ Brazilian partner institutions.

The center's go-to-market is event-driven and academic rather than commercial: it delivers AI education through the AVA CI-IA Saúde virtual learning platform (offering courses such as "Qualidade de Dados em Saúde para IA", "Introdução à Análise de Dados em Saúde com Python", and "IA Generativa em Sa\u00fade"), hosts annual symposiums (II Simpósio held in 2024 with 378 participants, III Simpósio scheduled September 2025), publishes scientific proceedings and e-books, and conducts workshops including a 2025 Responsible AI session featuring international expert Ricardo Baeza-Yates. It does not sell commercial products or disclose pricing.

The funding model combines public grants from FAPESP, MCTI, and FAPEMIG with private co-financing from healthcare and technology partners including Unimed-BH, Intel, Kunumi, and Grupo SPLICE/Facens. Customer-facing healthcare partners include Hospital das Clínicas (UFMG/Ebserh), which collaborates on the ECG mortality prediction work, and Unimed-BH, which provides both financing and real-world clinical data. Technology transfer to market is administered through CTIT-UFMG and Fundep. The center's five-year renewable grant structure and dependence on a small set of public agencies and corporate co-financiers create concentrated funding exposure, while its core commercialization pathway remains research-to-licensing rather than direct product sales.

Name

CI-IA Centro de Inovação em Inteligência Artificial para a Saúde

Legal name

Universidade Federal de Minas Gerais – UFMG

Website

https://ciia-saude.dcc.ufmg.br

Company type

Private

Founded year

2021

Operating status

Operating

Headcount range

1–10 employees

Short description

CIIA-Health is a multidisciplinary academic research center hosted at UFMG in Brazil that develops artificial intelligence techniques—deep neural networks, machine learning ensembles, and LLMs—for healthcare diagnosis, treatment, and preventive care, serving Brazilian clinicians, health managers, and health institutions through research, courses, and symposiums.

Ownership category

akta.pro rank

Product category

Healthcare AI Research and Education

NAICS

Educational Support Services (611710), Other Scientific and Technical Consulting Services (54169)

SIC

Services-Misc Health & Allied Services, Nec (8090)

akta.pro industry

PRIMARYEDAHAGAA

Academic Medical Centers & Teaching Hospitals (University-Affiliated)

Education/Higher Education (Colleges & Universities)/Medical & Health Sciences Universities

SECONDARYHDAAAMAE

Regulatory Readiness & Audit Automation (e.g., EU AI Act, NIST AI RMF, ISO/IEC 42001)

Hardware, Technology & Telecom/Artificial Intelligence & Machine Learning/AI Ethics & Compliance Solutions

SECONDARYHDAAAMAA

AI Governance, Risk & Compliance (GRC) Platforms

Hardware, Technology & Telecom/Artificial Intelligence & Machine Learning/AI Ethics & Compliance Solutions

Keywords

• Healthcare AI research
• Medical machine learning
• Clinical decision support
• Health data analytics
• AI health education

Headquarters

HQ city

Belo Horizonte

HQ country

Brazil

HQ region

Latin America

Offices1 record

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Technology or R&D, Operations, Infrastructure, Marketing or Sales

Revenue model

1. Research Funding: Multi-institutional and public-private partnership funding from government agencies (MCTI, FAPESP, FAPEMIG) and private sector companies (Unimed-BH, Intel, Kunumi, Splice/Facens). Research grants support the center's activities and development of AI solutions for health.
2. Technology Transfer: Transfer of technology and know-how to the market with support from CTIT-UFMG (Coordenadoria de Transferência e Inovação Tecnológica). Development of prototypes and proof-of-concept solutions with companies and health institutions.

Go-to-market motion1 record

Distribution channels3 records

Marketing channels6 records

Core offering

CI-IA Saúde is a multidisciplinary, multi-institutional research center that advances AI techniques and solutions to assist doctors and health professionals in disease diagnosis and treatment, and to help health managers organize preventive healthcare actions. It delivers educational programs (courses on data quality, Python health data analysis, and generative AI in health) through its Moodle-based virtual learning environment, conducts research across five health axes, and transfers AI prototypes and proof-of-concept solutions to market via CTIT-UFMG.

Product overview

CI-IA Saúde (Centro de Inovação em Inteligência Artificial para a Saúde) is a multidisciplinary research center at UFMG focused on AI research and development for healthcare applications. The center operates as an academic institution rather than a commercial product company, offering educational programs (courses on data quality, Python analysis, and generative AI), hosting annual symposiums (II and III Simpósio), publishing e-books, and conducting research across five health axes (prevention, diagnosis, personalized medicine, health systems, and epidemics). The main digital platform is the AVA CI-IA Saúde virtual learning environment. The center is one of six AI research centers in Brazil, funded by FAPESP, MCTI, and private partners including Unimed-BH, Intel, and Kunumi.

Differentiator

Problem solved

Functional benefit

Products and services

• AVA CI-IA Saúde (Ambiente Virtual de Aprendizado) Virtual learning environment (Moodle-based) for delivering CI-IA Saúde's AI-in-health courses, managing course registrations, and providing educational content for healthcare professionals and students.
• Qualidade de Dados em Saúde para IA Course teaching health professionals how to ensure data integrity and reliability for machine learning models used in healthcare AI applications.
• Introdução à Análise de Dados em Saúde com Python Introductory course teaching data manipulation and analytical techniques for healthcare applications using the Python programming language.
• IA Generativa em Saúde Generative AI course covering LLM fundamentals, neural network architectures, vector representations, Transformers, and Visual Foundation Models for health applications; offered in partnership with Unimed BH.
• Proteção de Dados em Pesquisas na Saúde Educational program/course on data protection in health research, providing researchers and health professionals with guidance on data protection practices.

Quantifiable outcome

• Deep neural network ECG analysis correctly stratifies mortality risk: HR 1.79 for those with ECG-age >8 years vs chronological age; HR 0.78 for those with ECG-age <8 years
• +2 more outcomes

Named customers2 records

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability9 records

Feature5 records

Partnerships

Twelve partnerships are on record, tiered core and minor.

• KunumicoreStrategic or Co-development PartnerBrazilian technology company specializing in AI solutions. Brings technological knowledge and expertise in AI development. Actively invests in research and innovation ecosystem.
• IntelcoreTechnology or IntegrationTechnology company providing hardware and software infrastructure support for AI research and development activities.
• FiocruzcoreStrategic or Co-development PartnerOswaldo Cruz Foundation - Major Brazilian health research institution participating as research partner.
• UFRGScoreStrategic or Co-development PartnerUniversidade Federal do Rio Grande do Sul - Research partner institution contributing researchers from Computer Science and Health areas.
• PUCRSminorStrategic or Co-development PartnerPontifícia Universidade Católica do Rio Grande do Sul - Partner university contributing to research activities.
• UFAMcoreStrategic or Co-development PartnerUniversidade Federal do Amazonas - Research partner with Institute of Computing contributing researchers including Altigran Soares da Silva.
• UFCSPAminorStrategic or Co-development PartnerUniversidade Federal de Ciências da Saúde de Porto Alegre - Research partner institution.
• UFPELminorStrategic or Co-development PartnerUniversidade Federal de Pelotas - Research partner contributing health researchers.
• Hospital Moinhos de VentominorStrategic or Co-development PartnerMajor hospital in Porto Alegre serving as research partner for AI in health applications.
• Fundação de Medicina Tropical Doutor Heitor Vieira DouradominorStrategic or Co-development PartnerTropical medicine research foundation in Amazonas contributing researchers for infectious disease AI applications.
• UNISINOSminorStrategic or Co-development PartnerUniversidade do Vale do Rio dos Sinos - Partner university contributing to research.
• Centro Universitário Newton PaivaminorStrategic or Co-development PartnerPartner university contributing researchers to the center.

Scale indicators6 records

Recent moves7 records

Expansion highlights5 records

Direct peers

• Kunumi: Brazilian AI company and core strategic partner of CI-IA Saúde. Builds AI solutions and actively invests in the research ecosystem, making it the closest commercial peer operating in the same Brazilian AI-for-health landscape with overlapping technical capability (deep learning, generative AI).
• Fiocruz (Fundação Oswaldo Cruz): Major Brazilian public health research institution listed as a core research partner of CI-IA Saúde. Conducts applied health research including infectious disease modeling and population health AI, with comparable multi-institutional structure and federal funding model.
• UFRGS (Universidade Federal do Rio Grande do Sul): Brazilian federal university and listed core research partner of CI-IA Saúde. Contributes researchers in computer science and health; comparable academic and federal-funded structure for AI-health research.

Regional players

• Hospital Moinhos de Vento: Major Brazilian hospital in Porto Alegre and listed research partner of CI-IA Saúde. Comparable in combining clinical care delivery with AI-health research collaborations and real-world patient data access.
• Hospital Israelita Albert Einstein: Brazilian private hospital system with an in-house AI/data science program focused on clinical decision support and precision medicine. Operates in the same Brazilian academic-medical ecosystem and competes for AI-health talent and partnership deals.

Broad incumbents

• Dasa: Brazil's largest medical diagnostics company, deploying AI for imaging, lab analysis, and clinical decision support. Comparable in applying AI to Brazilian health diagnostics at scale, though as a commercial incumbent rather than a research center.
• Mayo Clinic Platform: Academic medical center spin-out that curates de-identified clinical data and partners with AI developers for validation. Highly comparable governance and partnership model to CI-IA Saúde, though operating in the US with a more commercial orientation.
• Tempus Labs: US-based precision medicine company using AI for clinical decision support, genomics, and predictive analytics. Comparable in applying machine learning to clinical datasets for mortality and disease risk prediction — the same focus area as CI-IA's ECG-age and COVID-19 mortality work.
• Google Health: Global AI-for-health effort within Google applying deep learning to medical imaging, diagnostics, and clinical research. Comparable in AI methodology (deep neural networks, LLMs) applied to healthcare, though at vastly larger scale and with broader international footprint.

Others

• NVIDIA Healthcare: Provides AI compute infrastructure (Clara, DGX) used by healthcare AI researchers globally; named as a CI-IA partner providing hardware/software infrastructure. Comparable as an enabling infrastructure player in the AI-health ecosystem rather than a direct research competitor.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat4 records

Key risks5 records

Key highlights7 records

Customer concentration

• Xx.com/IAsaudeUFMG
• YouTubeyoutube.com/channel/bit.ly/simposioiasaude
• Instagraminstagram.com/iasaudeufmg
• LinkedInlinkedin.com/company/ci-ia-centro-de-inova%C3%A7%C3%A3o-em-intelig%C3%AAncia-artificial-para-a-sa%C3%BAde

Compliance2 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Funding overview

Funding rounds

Investors

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M&A

Investments

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