Mirra synthesizes Global South patient data into high-fidelity, individual-level digital patients — 100% unidentifiable, built for inclusive AI and clinical R&D.
of genomic study participants are of European descent.
of medical AI training data comes from Africa & South America combined.
people invisible to current diagnostic models and treatment algorithms.
of FDA-authorized AI medical tools recalled due to performance drift.
Mirra connects to EHR, EMR, registry, and lab systems inside the country. Raw data never moves.
GANs, diffusion models, and Bayesian approaches generate synthetic patient populations without any individual being identifiable.
Synthetic cohorts are licensed to pharma, CROs, and healthcare AI teams for model training, trial feasibility, and regulatory compliance.
Mirra connects to EHR, EMR, registry, and lab systems inside the country. Raw data never moves.
GANs, diffusion models, and Bayesian approaches generate synthetic patient populations without any individual being identifiable.
Synthetic cohorts are licensed to pharma, CROs, and healthcare AI teams for model training, trial feasibility, and regulatory compliance.
Train and validate models on individual-level Global South data via API. Improve generalization, cut performance drift, and simulate against real-world benchmarks before deployment.
Source diverse Global South patient cohorts for clinical trial feasibility, diversity execution, and regulatory submissions — without crossing a single data border.
Price risk and underwrite policies across African and LMIC markets with confidence. Model disease burden, utilization patterns, and actuarial assumptions on real population data.
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Whether you're a pharma team navigating FDA DAPs, a CRO sourcing diverse trial populations, or an investor — we'd love to talk.