Built by operators. Engineered for outcomes.
Designed for the frontline.
Our team has operated inside the health systems we now serve — as executives, physicians, clinical transformation leads, and engineers who have scaled mission-critical platforms.
We combine deep domain knowledge with technical rigor to deploy AI safely and drive measurable value at enterprise scale.
Our clinical leaders have practiced medicine, run service lines, improved care delivery, and navigated the realities of regulated environments. Our operators have built and managed large health system programs. This firsthand experience shapes every aspect of our platform, from governance guardrails to workflow design to performance measurement.
Our engineering, product, and data science teams come from the forefront of AI and have built secure, scalable AI systems used by millions. Together, we translate frontier models, modern data infrastructure, and enterprise architecture into solutions that work reliably in clinical, operational, and financial workflows.
Our team works side-by-side with clinicians, analysts, operators, and executives to ensure AI aligns with real needs, integrates with existing systems, and drives sustained improvements. We don't just hand over tools; we deliver outcomes.
Health systems must act now on AI or fall behind.
Generative AI is no longer a pilot experiment. It’s becoming core infrastructure for how modern health systems deliver care, manage operations, and protect financial performance.
But adopting AI in healthcare is uniquely hard, and the gap between ambition and reality is widening.
Today's reality is fragmented and risky.
Labor shortages, payer friction, and administrative overload are tightening margins. Health systems need productivity gains and revenue recovery now.
78% of your employees are already using ungoverned AI tools. Every day without governance means exposure to data leaks, clinical errors, and compliance violations.
Data silos, security requirements, workflow integration, and stakeholder alignment routinely prevent even the best AI initiatives from scaling.
Point solutions, one-off builds, and disconnected systems drain resources, drive up cost of ownership, and create endless oversight burden, while ROI stays stuck in pilot purgatory.
Your competitors are moving. Resource-constrained teams can't afford to "wait and see." Every month of delay is proven value left on the table.
AI at scale starts with a different foundation.
AI will only transform healthcare when it is deployed safely, governed rigorously, and aligned with the people it aims to support. That conviction shapes every layer of our platform — from architecture to partnerships to how we define success.
We are not building another point solution. We are building the operating layer that makes enterprise-wide, governed AI a reality.
Our Founders
Will Haver
Founding CEO
Founding CEO of Skovos, a company focused on using artificial intelligence to improve healthcare. Started Skovos at Harvard Innovation Labs and led the creation of Harrison-1, a large language model designed for healthcare, working with NVIDIA. Co-taught OpenClaw and Claude Cowork workshops at Harvard. Distinguished Guest Speaker at the 2026 Columbia University Global Sustainability Summit. Advisor and Board Member at Marbella AI. Prior to Skovos, founded Haver LP, a quantitative hedge fund specializing in high-frequency trading and convertible debt arbitrage. Experienced in building AI systems, machine learning, and data engineering, including full-stack software applications, cloud-based solutions on AWS, and working with leading AI models from Anthropic, OpenAI, and Google.
Anthony Rodgers
Co-Founder
Co-Founder of Skovos. Healthcare executive with over 30 years of experience across CMS, state Medicaid, health plans, and hospital systems. Deputy Administrator at the Centers for Medicare & Medicaid Services (2010-2013) and Agency Director for Arizona AHCCCS, overseeing coverage for 1.3 million Arizonans. CEO of VBCare Network. Visiting Professor at ASU and UCLA School of Public Health.