BILL faced surging cloud log volumes and rising Splunk and infrastructure costs. With Observo AI, they reduced noisy data at scale, eliminated redundant pipelines, and simplified ingestion across their multi-cloud environment. The result: significantly lower infrastructure spend, faster incident detection, and a more manageable, cost-effective security data stack.

As part of a broader security modernization effort, Alteryx used Observo AI to reduce data sent to Azure Sentinel and Snowflake by more than 50%. Observo's AI-powered pipelines helped normalize and route complex telemetry across their hybrid cloud environment—enhancing threat visibility, reducing compliance overhead, and slashing SIEM and data warehouse costs.

Find out how a large, global Data Management and AI software company with over 5,000 customers across more than 100 countries tackled unprecedented growth (more than 30% year over year) in telemetry data from their multi-cloud infrastructure being sent to the Elasticsearch Observability and SIEM Platform. By using Observo AI, they avoided a multi-million dollar price increase for their license with Elasticsearch.

Learn how a national retailer reduced their Splunk infrastructure costs. By reducing more than 80% of their original VPC Flow log and Firewall data in a Splunk index, they reduced total spend (including storage, egress, and compute costs) by more than 50%. Despite the drastic reduction in data stored in the index long-term, they were able to analyze all of the signal within their log data and plugged up any holes in their security analysis by adding new data types.

Learn how a large hospital system eliminated their alert fatigue by performing anomaly detection in the telemetry stream with Observo AI allowing them to focus on the most important alerts leading to a 35% reduction in mean time to resolve critical incidents.