Move Your Health Plan to the Cloud Without Compromise
Run claims, enrollment, and member platforms in the cloud with predictable performance, built-in resiliency, and up to 70% lower cost.Give developers and testers a fresh copy of production in minutes, not days.
Deployed across healthcare payers, providers, and benefits administrators
Is your cloud data infrastructure ready for how health plans run today?
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Test environments are always stale.
Refreshing a claims UAT environment from production takes days, so developers and testers work against old data and releases slip.
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Performance drifts as you scale.
Enrollment peaks, month-end close, and risk adjustment runs compete for the same I/O. Teams respond by overprovisioning, and the cloud bill climbs.
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Every new data consumer wants a copy.
Dev/test, analytics, compliance, and now AI agents all need production data. Full copies multiply storage cost and wait on infrastructure.
Who is waiting for your data?
Developers | QA and UAT testers | Claims analysts | Actuarial and finance | DBA teams | Compliance and audit | AI agents
Why Healthcare Organizations Trust Silk
Silk is a software-defined cloud data platform. It sits between your databases and the cloud, so you move SQL Server, Oracle, and other relational workloads as they are, with no refactoring.
Faster Development and QA
Refresh UAT and test environments from production in minutes, not days.
Predictable Performance
Lower Cloud Costs
Reduce overprovisioning while maintaining the performance claims systems require.
Designed for Resiliency
Simplify high availability and disaster recovery for business critical systems.
Sentara Health Plans Cuts UAT Refresh Time by 99% for Its Developers and QA Team with Silk
Sentara is a not-for-profit health system serving Virginia and northeastern North Carolina, and it runs its own health plan, Sentara Health Plans (formerly Optima Health). Silk has been Sentara's partner since 2021, and the plan's claims processing test and production environments run on Silk on Azure.
15
minutes to refresh UAT from production, down from 5-7 days
100
developers and testers on fresh production data
126,000+
hours a year of faster production-data access
The challenge.
Testing a claims platform takes production-like data. Refreshing the QNXT UAT environment took 5 to 7 days, so about 100 developers and testers worked on aging data ahead of a major release.
The solution.
Silk's zero-footprint snapshots and thin clones create a full-performance copy of production in about 15 minutes, with near-zero added storage and no load on production.
What it unlocks next.
Developers and testers start every cycle on fresh data, which speeds delivery. The same instant copies can feed analytics and AI.
"Silk is a platform that underpins most of our mission critical systems. It helps us be more efficient, ensures resiliency in the public cloud, and meets the performance requirements of these systems. . It also gives us an advantage in being agile —
supporting new business demands, mergers and acquisitions, and the expansion of new technologies across our environment."
Jeff Thomas, CTO, Sentara
Explore What's Next for Healthcare Data
Discover practical insights for improving clinical performance, modernizing cloud infrastructure, and making better use of healthcare data.
See the Top IT Challenges Facing Healthcare
Explore the biggest issues shaping healthcare IT, from data growth and cloud costs to EHR performance and AI adoption.
Get More Value From Healthcare Provider and Payer Data
Learn how to improve efficiency, simplify data access, and support more data-driven healthcare initiatives.
Hear How Sentara Scales AI
Sentara's CTO on making data available for AI without hurting production
Frequently Asked Questions
Do we need to refactor our claims or enrollment applications?
No. Silk runs underneath your databases, so applications move as they are.
Which databases and clouds does Silk support?
Relational databases such as SQL Server and Oracle, on AWS, Microsoft Azure, and Google Cloud.
How do we get production data to analytics and AI teams without risk?
Zero-footprint snapshots and thin clones give each team a current copy in minutes, without adding load to production.