Expanso Launches Cost Optimization Platform to Cut Enterprise Data & AI Costs by up to 80%

SAN FRANCISCO--(BUSINESS WIRE)--As data and AI conferences ramp up with promises of more features, more data, and more spend, Expanso is launching a different message: you should be paying less.

Expanso’s platform helps enterprises save 40–80% on data infrastructure costs—without compromising performance or security.

Today’s enterprise data pipelines are complex and bloated. Logs, metrics, and analytics workloads have become duplicative, noisy, and over-provisioned, driving up costs and leaving less budget for innovation.

Expanso simplifies your log ingestion pipeline, making better use of your compute resources, and unlocks the ability to use advanced tools such as AI/ML models with nearly no changes. Expanso also works with your existing data warehouse solutions, without requiring lengthy replatforming or data migrations, to deliver immediate savings.

“No one wants to compromise on security or visibility,” said David Aronchick, CEO of Expanso. “But everyone wants to stop paying for data waste. We built Expanso to give enterprises instant cost control—so they can reinvest in what matters.”

For a typical large financial institution, data platform costs can exceed $20 million a year. Expanso has already demonstrated that it can cut this by $8–10 million annually without disrupting existing operations.

To help enterprises see the potential first hand, Expanso is offering a free 60-day trial - at any scale. From 10 machines, to 100,000 sensors, you can test the platform in your own environment, and see how much you can save. Simply go to Expanso Cloud and start saving today!

Expanso comes ready with connectors for enterprise-grade platforms including Snowflake, Splunk, Motherduck, Databricks, Google Cloud, and Azure Cosmos DB—so you can start optimizing without rearchitecting.

The platform is built for scale and speed—delivering actionable insights, immediate savings, and better ROI.

About Expanso

Expanso helps the world’s largest organizations run data and AI workloads with less waste and more impact.