Healthier Margins, Better Patient Care
Optimize healthcare cloud spend with AI-powered governance that balances clinical performance with fiscal responsibility.
The
Cost
of
Care
in the Cloud
Digital transformation often leads to spiraling cloud costs that siphon funds from patient care.
Critical EHR systems are often over-allocated by 30–40% to ensure uptime, leading to significant waste due to poor cloud cost allocation methods.
Infrastructure built for peak patient volumes frequently remains idle during normal operations, quietly driving up costs without delivering proportional value.
High-cost datasets, such as medical imaging and genomics, often lack clear cost-per-patient attribution, making cloud cost forecasting difficult.
Healthcare Value Propositions
COMPLIANT EFFICIENCY
Infrastructure Risk Assessment
Evaluates dependencies to protect critical services
LLM-Validated Recommendations
AI-verified savings opportunities for full auditability.
Safe Automation Guardrails
Protects stability with automated pre-deployment checks.
Optimization Governance
Post-optimization monitoring with automatic rollbacks.
PRECISE CLINICAL ATTRIBUTION
Resource Relationship Mapping
100% visibility into resource-to-application connections.
Tagging Intelligence
Automates resource clustering for research and trials.
Fair Cost Distribution
Accurate allocation of shared EHR and database costs under core unit cost considerations.
Granular Budget Control
Enforce financial limits at the clinical trial level.
SPEND CONTROL
Proactive Anomaly Detection
Real-time alerts for research or imaging cost spikes.
Budget-Aware Forecasting
Spots month-end risks by comparing forecasts to budgets
Pre-Deployment Intelligence
See feature costs before code hits production.
Intelligent Waste Detection
Reclaims savings from idle dev/test environments.
Unifying
Your
Teams
Learn
practical
approaches
to
cloud cost management
Practical guidance, real-world lessons, and FinOps thinking from teams managing cloud spend every day.
