Healthcare software built from medicine, science, and technology.
We develop digital platforms and solutions for healthcare organizations, pharmaceutical companies, and clinical research teams, combining software engineering, data science, and artificial intelligence with medical and scientific expertise.
Methodology & team 100% Clinical-tech focus Multi-area True interdisciplinarity Security Biomedical standards
We understand the problem before building the solution
Healthcare challenges require much more than good developers. At GenomIT Healthtech, we work with an interdisciplinary team that includes physicians, researchers, bioinformaticians, data scientists, AI specialists, and software engineers.
This combination helps us understand each project's clinical and scientific context, design the right data strategy, and turn it into useful, secure, and scalable technology products.
Our solutions
Our solutions
Evidentia
Real World Evidence, end to end.
Advanced platform for design, capture, management, and analysis of Real World Evidence project data. The service can cover protocol and form design, operations, analysis, and interpretation.
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PVLitup
Technology and artificial intelligence for pharmacovigilance.
We automate search, classification, and analysis of scientific literature for pharmacovigilance, reducing manual work needed to identify and report potential adverse events.
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Custom development
When the problem is unique, the solution can be too.
We design and develop platforms tailored to each healthcare organization's processes and needs, combining modern software, AI, automation, and advanced data analysis.
Tell us about your challenge → Artificial intelligence with purpose
We do not adopt artificial intelligence to follow a trend. We use it when it solves a concrete problem.
Documents→structured data
Information extraction from PDFs, Excel files, text, and unstructured documentation to reduce manual work.
Structured extractionData→answers
Query large information sets using natural language.
Natural languageLiterature→knowledge
Classification, prioritization, and summarization of scientific publications.
Scientific synthesisData→predictions
Machine learning and data science when predictive or analytical models are required.
Machine learning Scientific research & bioinformatics
Technology born from research
OmicsDataScience & methodology
Part of our team participates in OmicsDataScience, an interdisciplinary group focused on bioinformatics tools and methodologies for biomedical data analysis.
Knowledge transfer & open source
We publish scientific results and release part of these tools as open-source projects.
Clients & scientific partners 
Trusted by
Experience working with pharmaceutical companies and healthcare organizations.
Compliance with regulatory standards and clinical confidentiality guaranteed.