Scientific software and data analysis for the research community — turning complex biological data into clear, reproducible evidence.
Evidentia Labs is a scientific software company founded by researchers, for researchers. Over the past two decades we have partnered with universities, hospitals, and independent research institutes to design and deliver analytical platforms that are rigorous, reproducible, and accessible — without requiring deep programming expertise from their users.
Our work spans multiple scientific disciplines: from gut microbiome studies and genomic epidemiology to oncological survival analysis and clinical trial data management. In each domain, our approach is the same — close collaboration with subject-matter experts, followed by the careful engineering of software that fits naturally into existing research workflows.
The Microbiome Analysis Platform is our flagship open-access tool, consolidating years of development into a single environment for advanced statistical analysis and publication-ready visualization of microbiome data.
- Scientific rigour — every method is documented, validated, and peer-reviewed where possible.
- Reproducibility — all analyses are auditable and version-controlled by design.
- Accessibility — powerful statistics should not require a programming degree.
- Transparency — open methodologies, clear assumptions, honest limitations.
- Continuous improvement — we iterate on user feedback, not assumptions.
- Long-term support — we maintain our tools; we do not abandon them.
Microbiome & Metagenomics
Alpha and beta diversity, differential abundance, compositional analysis, taxonomic profiling from 16S and shotgun sequencing data.
Survival & Time-to-Event Analysis
Kaplan–Meier, Cox proportional hazards, competing risks, frailty models, accelerated failure time, and Bayesian survival approaches.
Clinical Trial Data Management
Secure multi-site data collection, randomization support, adverse event tracking, and regulatory-compliant audit trails.
Machine Learning in Biomedicine
Predictive modeling, feature selection, cross-validation pipelines, and interpretability tools for clinical and omics datasets.
Epidemiology & Biostatistics
Longitudinal studies, mixed-effects models, cohort and case-control analysis, power calculations, and statistical consulting.
Research Data Infrastructure
Design and deployment of secure, scalable data repositories, ETL pipelines, and interoperability layers for multi-omics integration.
Gustavo Uriel Levcovich
Founder & Senior Software Engineer
Over 25 years designing and engineering data-intensive scientific software. Responsible for platform architecture, core analytical pipelines, and long-term technical direction.