Clinical informatics & analytics
One trusted, governed view across clinical and operational data.
Industries
Healthcare
Our deepest industry: AI adoption for health systems, plans, and digital health — led by people who have run clinical operations.
Executive challenges
Legacy reality
69% of hospitals still exchange records by fax (ONC, 2021) and 73% of providers run equipment on legacy operating systems (Kaspersky, 2021). Modernization has to work inside that reality.
Unused data
A typical hospital produces ~50 petabytes of data a year — and 97% goes unused (World Economic Forum, 2024).
AI without a plan
Only 13% of healthcare C-suites have a clear strategy for integrating AI into clinical workflows (AHA/Sage Growth Partners, 2025). Governance and human oversight are where we start.
Clinical adoption
Modernize without disrupting care, clinical trust, or compliance.
Use cases
Population health & care-gap closure
Focus limited capacity where intervention changes outcomes.
Value-based care & quality improvement
Risk adjustment, quality programs, and the economics behind them.
Governed clinical AI
AI in clinical workflows with guardrails, auditability, and human review.
Relevant services
Proof
Leadership
Joshua Kwasny
Co-Founder & Managing Partner
Analytics executive, actuary, and AI strategist — applied AI with governed, measurable outcomes.
Don Fetterolf
Co-Founder & Clinical Visionary
40+ years of physician-executive leadership across clinical transformation and population health.
Victor Greca
Co-Founder & Software Architect
Leads technical delivery end to end — software and AI that ships and stays understood after launch.
Bring us your hardest problem.
A focused conversation about your context — and an honest read on the most useful first move: a workshop, a Deep Dive, or a straight answer that AI isn't it.