Research-grade thinking, applied to biology and medicine.
We work with research groups and health organizations that want to adopt AI carefully and effectively — grounded in the same evidence-first discipline that drives our training material.
AI strategy for health & life sciences
Cutting through hype to a concrete plan: which capabilities are validated today, which are close, and how they map to your clinical or research goals.
Model & dataset evaluation
Assessing models and datasets for diagnostic, genomic, or drug-discovery tasks — with an eye toward bias, generalization, and clinical validity.
AI workflow design for research teams
Designing analysis and modeling pipelines that are reproducible, auditable, and safe to use alongside expert judgment.
Applied research collaboration
Working directly with your team on hard problems in medical imaging, genomics, drug design, or computational neuroscience.
Team training & onboarding
Hands-on training for research and clinical teams adopting AI methods in biology or medicine.
AI for scientific discovery
Bringing applied AI methods into biological and biomedical research, from hypothesis generation to experimental design.
Tell us about your problem.
We'll follow up to understand your goals and scope an engagement that fits.