What can you do with Continuous Validation?

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Save on validation spend

You can save more than 75% of your cloud app validation spend.

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Validate FAster

You can compress your validation timelines by more than 50%.

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stop worrying about patches

You can stop worrying about the never ending patches and releases. Instead you can enjoy the new features of your favorite cloud app while increasing your productivity.

What is Continuous Validation?

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Managed Service

xLM’s Continuous Validation is a managed service. It is designed to provide end to end validation service for your cloud app like Veeva, TraceLink, ServiceNow, ServiceMax, Jira and many more…

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technology platform

Our managed service is based on our sophisticated technology platform specifically designed for cloud app validation. It is designed to handle all three layers (IaaS, PaaS, SaaS).

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qms

Our managed service is built on a robust QMS that is compliant with 21 CFR Part 11, Annex 11, ISO 9001:2015, ASTM E2500.

 How does Continuous Validation work?

Why Continuous Validation?

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3 Reasons for your business

  • Cost Effective (over 75%)

  • Timeline Compression (over 50%)

  • Low Ongoing Costs

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6 reasons for your compliance

  • Reduces Compliance Risk

  • Increases Test Coverage

  • Increases Data Integrity Assurance

  • Full Coverage for Patches & Updates

  • Full Coverage for all Layers - IaaS, PaaS, SaaS

  • Complies with 21 CFR Part 11 / Annex 11

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4 reasons for your validation

  • Built-in Robust Testing Strategies

  • Integrated Risk and Traceability

  • Built-in Support for Historical Test Data Analysis

  • Adaptive Framework designed to accommodate frequent requirement changes.

 
 

Who uses Continuous Validation

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Cloud apps

Life science companies that use cloud apps (SaaS) in their GxP operations. Such cloud apps include Veeva, TraceLink, ServiceNow, Jira, ServiceMax, CloudByz, AO Docs and many more..

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Iaas/paas

Life science companies that use IaaS/PaaS - AWS, Microsoft Azure, Google Cloud.

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Devops

Life science companies that use the DevOps model.

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