Cloud cost optimization for the regulated healthcare stack

Lower TCO for healthcare workloads on AWS, Azure, and GCP. HIPAA-eligible tiers only. Architecture, reserved capacity, and FinOps discipline applied to the cloud bill carriers, hospitals, and ISVs already pay.

Outcomes

Cloud bills that came down and stayed down

Outcomes from FinOps engagements with payers, hospitals, medical-device manufacturers, pharma, ISVs, and the healthtech founders we work with.

30 to 45%

Typical annual cloud spend reduction on a Life Value FinOps review.

0

HIPAA, GDPR, or BAA controls removed to get the savings.

90 days

From FinOps report to first wave of savings landing on the bill.

technologies

Built with the right tech stack for Healthcare

React
Angular
Vue.js
Ruby on Rails
Python
React Native
Flutter
iOS
Android
React
Angular
Vue.js
Ruby on Rails
Python
React Native
Flutter
iOS
Android
React
Angular
Vue.js
Ruby on Rails
Python
React Native
Flutter
iOS
Android

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FAQ’s

Frequently Asked Questions

We’ve answered the questions we hear most from healthcare teams, founders, and partners. Don’t see yours? Reach out: we’re here to help.

How do you cut cloud spend without breaking HIPAA or GDPR posture?

The savings come from architecture and commitment discipline, not from removing controls. Encryption at rest and in transit stays on. PHI and non-PHI stay in separate buckets and separate accounts. Every service in the path stays HIPAA-eligible and stays under the BAA. The cuts happen in three places. Redundant AWS services that two teams stood up in parallel get consolidated. Predictable RDS and EC2 workloads move to reserved instances or savings plans. Cold PHI moves to S3 Glacier and EFS-IA on a lifecycle policy that still meets the six year HIPAA retention floor.

What does a Life Value FinOps review actually deliver?

A written FinOps report. Every finding is prioritized by expected annual saving, implementation effort, and risk score against HIPAA, GDPR, and the existing BAA chain. A payer cloud cost lead gets a line item view of claims, eligibility, and prior authorization workloads. A hospital CTO gets the EHR integration layer, imaging, and audit log retention broken out. An ISV CTO gets unit economics per tenant. The report ends with a 90 day implementation roadmap and the named owner for each change.

Which workloads usually have the biggest savings on the first pass?

Four patterns show up on almost every healthcare AWS bill we review. Two or three redundant HIPAA-eligible services doing the same job because different teams picked different tools. RDS instances running on-demand for workloads that have been steady for two years and belong on a three year reserved instance. Unpredictable analytics and reporting workloads that should move to Aurora Serverless v2. Audit logs and old imaging studies sitting in S3 Standard when HIPAA only requires they stay retrievable, not hot. Glacier Instant Retrieval and EFS-IA fix that.

How do you handle chargeback when the same cloud account runs clinical and non-clinical workloads?

FinOps tagging applied at the resource level, then rolled up by specialty, by tenant, or by clinical line. A hospital can see what cardiology, oncology, and radiology each cost to run per month. A payer can see what each book of business costs to serve. An ISV can see gross margin per customer. The tagging policy is enforced through AWS Service Control Policies and Azure Policy so a new resource cannot be created without the cost allocation tag attached.

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