
ACADEMIC SPIN-OFF · CLINICAL SIMULATION · DATA FOR REAL INSIGHTS
Clinical simulation infrastructure for evidence before deployment.
æqualis is an academic spin-off building the layer between a promising healthcare idea and a safer real-world test.
THE GAP
The hardest part of healthcare innovation is safe access to evidence.
Ideas stall when sensitive, longitudinal data is slow to access. Simulation gives research teams a rigorous place to ask better questions earlier.
More usable evidence
Explore representative clinical scenarios without exposing individual patient records.
Stronger questions
Stress-test assumptions before committing to expensive real-world studies.
Earlier learning
Move from promising concept to evidence-informed next step with less avoidable delay.
WHAT WE BUILD
A simulation layer for healthcare research.
Synthetic clinical populations
Structured, representative populations for controlled exploration.
Longitudinal scenarios
A way to examine how conditions, interventions and outcomes evolve over time.
Validation workflows
A practical bridge between model development, study design and evidence.
PATHWAY
From question to evidence.

01 · Frame the question
Define the clinical, operational or research decision.
02 · Simulate possibilities
Generate and interrogate plausible trajectories.
03 · Validate what matters
Take the strongest questions into real-world testing.
CONNECTIONS
Built in an academic and innovation ecosystem.
æqualis connects clinical practice, UFMG research and partners who help move responsible technology toward reality.

EMBRAPII–SEBRAE

Inova Lab UFMG

Horizontes Hub · Unimed
ACHIEVEMENTS
Research momentum, made visible.
Non-dilutive support
EMBRAPII–SEBRAE support for clinical simulation research.
Protected technology
Two Brazilian patent applications protecting core technologies.
Independent recognition
Stanford Social Innovation Review Brazil, A.C. Camargo Next Frontiers and Inova Lab UFMG.
THE NEXT QUESTION
Make the next healthcare question testable.
If your team is working on a clinical, research or operational problem that deserves better evidence, we would like to hear about it.
