Building the computational foundation for next-generation healthcare at the intersection of biotechnology, medical science, and artificial intelligence.
Ebovir began as a biotechnology company focused on developing innovative solutions for human health. Over time, the complexity of our research and the scale of our data requirements led to the development of sophisticated internal IT and AI capabilities.
What started as tools to support our own research evolved into a comprehensive platform for medical artificial intelligence—systems designed from the ground up to handle the unique requirements of healthcare and biomedical applications.
Today, we are transitioning these capabilities into an independent platform: a Bio × IT × AI entity positioned to serve the broader healthcare and biotechnology community. Our systems are built on years of real-world application in biomedical research, giving us a perspective that combines scientific rigor with engineering pragmatism.
Research-focused company developing solutions for human health
Building computational tools to support biomedical research
Evolution into comprehensive medical AI capabilities
Serving healthcare and biotechnology organizations
Intelligent systems designed for the specific requirements of healthcare and biotechnology.
Machine learning and AI systems designed for clinical applications, from diagnostic support to workflow automation, built with the reliability and explainability that healthcare requires.
Data processing and analysis infrastructure for biological and clinical data, enabling large-scale biomedical research and translational medicine applications.
Backend systems, APIs, and deployment infrastructure designed for healthcare environments—secure, scalable, and compliant with industry requirements.
We believe that effective medical AI requires more than algorithmic sophistication. It demands deep understanding of clinical workflows, respect for the complexity of medical decision-making, and commitment to building systems that genuinely serve healthcare professionals and patients.
Every system we build starts with understanding the clinical problem it addresses. Technology serves medicine, not the reverse.
Healthcare systems must be reliable. We apply rigorous engineering practices, comprehensive testing, and careful validation to everything we build.
AI in healthcare carries significant responsibility. We prioritize transparency, explainability, and appropriate uncertainty quantification.
The best medical AI systems are built in partnership with clinicians, researchers, and healthcare organizations.
The future we're building toward in medical artificial intelligence.
"To build the computational foundation that enables healthcare organizations and biomedical researchers to harness the full potential of artificial intelligence—responsibly, reliably, and at scale."
Developing AI systems with appropriate safeguards, transparency, and human oversight. Technology that augments clinical judgment rather than replacing it.
Maintaining a foundation in scientific research while building production-ready systems. Bridging the gap between academic innovation and clinical deployment.
Creating seamless connections between biological research, clinical practice, and computational systems. Unified platforms for the full spectrum of biomedical applications.
Building infrastructure that can grow with healthcare organizations, from research labs to enterprise health systems. Technology that scales without sacrificing reliability.
We view our relationships with healthcare and biotechnology organizations as long-term partnerships. Medical AI is not a product to be deployed and forgotten—it requires ongoing collaboration, validation, and refinement.
Our engagement model is designed for sustained partnership: understanding your unique requirements, building tailored solutions, and supporting continuous improvement over time.
AI infrastructure for drug discovery, biomarker development, and research operations
Clinical decision support, workflow optimization, and research platform development
Bioinformatics platforms, data analysis infrastructure, and collaborative research tools
System integration, API development, and secure infrastructure for medical AI
Grounding our work in rigorous methodology, honest assessment of capabilities and limitations, and commitment to evidence-based development.
Building systems that are reliable, maintainable, and performant. Quality is not optional when lives may depend on our technology.
Recognizing that medical professionals bring expertise and judgment that AI should support, not supplant. Designing for collaboration, not replacement.
Ultimately, our work must serve patients. Every system we build should contribute to better healthcare outcomes.
Clear communication about what our systems can and cannot do. Explainable AI and honest assessment of uncertainty.
Medicine and technology both evolve rapidly. We commit to ongoing learning, adaptation, and improvement.
We're looking for partners who share our commitment to responsible, effective medical artificial intelligence.