Streamline IT with our MSP solutions
AI optimization with dedicated engineering
Learn more about what our platform can do
Understand, explain, track and control costs
Take back control of AI spend
Our Vision and our Mission
See how our solutions drive savings
Partner to enhance FinOps and MSP solutions
Drop us a line
Create a Future with us
Access our support resources here
Committed to security and compliance
Find the latest news and updates
Read our latest articles and insights
Stay updated on upcoming events
The healthcare and life sciences industries are undergoing a massive digital shift, migrating electronic health records (EHR), medical imaging (PACS), and complex genomic sequencing workloads to the cloud.
This results in petabytes of highly sensitive Protected Health Information (PHI) that must be stored securely and retained for years due to stringent compliance laws like HIPAA and HITRUST.
The primary financial drain for these organizations is data storage and high-performance computing (HPC) required for clinical trials and research.
Researchers often spin up massive compute clusters to run genomic simulations and forget to shut them down, leading to astonishing amounts of cloud waste.
Furthermore, manually managing the lifecycle of medical data across various storage tiers is tedious, error-prone, and pulls engineers away from core healthcare innovations.
Wiv.ai provides healthcare institutions and biotech firms with a compliant, automated FinOps platform designed to handle the scale and sensitivity of medical data.
Wiv.ai automates time-consuming healthcare cloud management through intuitive, no-code workflows. Using Wivy’s natural language interface, IT teams can set data lifecycle policies, such as automatically moving medical imaging files older than 90 days to Amazon S3 Glacier or Azure Archive.
For life sciences, Wiv.ai actively monitors HPC clusters used in research. When a genomic sequencing job completes, Wiv.ai detects the drop in CPU utilization and automatically terminates the cluster, instantly stopping the billing meter.
This combination of intelligent storage tiering and active compute management allows healthcare providers to drastically reduce their cloud bills while maintaining full compliance.
Create compliance-ready rules to shift aging electronic health records and high-res medical images to low-cost archival storage automatically.
Identify and terminate idle high-performance compute instances used for drug discovery and DNA sequencing immediately after jobs finish.
Tag and track cloud infrastructure costs down to the specific clinical trial or research department, enabling accurate grant and funding utilization reporting.
Safely identify and delete unattached storage volumes (EBS) and old snapshots that contain stale data, reducing risk and cost simultaneously.
Healthcare organizations can optimize HIPAA-compliant cloud storage by automating data lifecycle policies that move aging EHRs, medical images, and other PHI to lower-cost archival tiers. Wiv.ai applies these rules automatically, reducing storage costs while maintaining compliance requirements.
Wiv.ai’s no-code automation engine enables biotech teams to define compute lifecycle policies using natural language. When research jobs complete, idle clusters are automatically terminated, converting cloud infrastructure from a fixed cost into a usage-based operational expense.
Wiv.ai provides granular visibility into IoT processing costs and automates data lifecycle rules that move historical sensor data to lower-cost storage tiers.
See how Wiv.ai optimizes cloud costs for healthcare and life sciences organizations.
