Clinical-Grade Synthetic Data for Surgical & Oncology Innovation
A decentralized AI-powered framework to simulate and evolve synthetic health cohorts with precision.
What is æqualis®?
æqualis® is a synthetic data framework built to simulate the evolution of health cohorts over time.
It generates dynamic, privacy-safe, and richly structured datasets — designed to reflect real-world scenarios while avoiding the limitations of traditional data access.
Created for research, forecasting, validation, and innovation, æqualis® enables safe exploration of health trends, interventions, and outcomes — without exposing sensitive information.
At its core, æqualis® offers a bridge between the need for real data and the demand for scalable, shareable alternatives in healthcare research and digital health development.
Evolving Data
Simulates patients over time, not just static snapshots
AI-Driven Engine
Combines LLMs with structured modeling & lineage tracking
Privacy by Design
Built with transparency, compliance & zero-risk in mind
Institutional Backing & Acceleration
In March 2026, æqualis was selected for a 2-year intensive acceleration program at Inova UFMG (Federal University of Minas Gerais). This partnership ensures our synthetic data generation adheres to the highest academic and ethical standards in AI development.
Finalist at the 2025 “Juntos Inovamos.Coop” program. Recognized among the top healthcare startups for AI-driven patient simulation.
Why Now? Why Synthetic Data?
In a world shaped by data, healthcare research faces a paradox: real-world data is often fragmented, inaccessible, or restricted. Synthetic data emerges as a bold solution — enabling discovery, collaboration, and innovation without compromising privacy or compliance.
Data Access & Collaboration
- Eliminates barriers to data sharing across institutions
- Enables reproducible science
Privacy & Innovation
- Avoids risks tied to personal health data (PHI)
- Ready for AI and advanced modeling
Built for Science
Ready for Discovery
Open & Shareable
Fully synthetic, privacy-safe,
and validated for global collaboration
Benchmark-Ready
Supports reproducible
experiments with tracking
Flexible by Design
Adapts to research needs,
from simulation to validation
What We Don’t Do
æqualis® does not use real patient records, does not function as an EHR, and is not intended for direct clinical decision support.
Let’s Build the Future of Research Together
æqualis® is looking for visionary partners — from research labs to academic consortia — who believe that ethical, scalable, and innovative data can shape the next frontier of discovery