Prevent downtime. Optimize production. Make your manufacturing platforms AI-ready - from factory floor to cloud.
See How It WorksThousands of sensors generating data every second.
Multiple factories with incompatible data systems.
Delayed insights leading to quality issues and downtime.
Operations teams buried in pipeline maintenance, not optimization.
Snowflake for analytics. Databricks for AI. Splunk for security. Datadog for observability. Expanso sits upstream - sending clean, governed data to all of them.
Expanso filters out the noise at the edge before it ever reaches your data lake. Use our ROI calculator to see how much you could save.
Expanso filters and processes factory floor data at the source before it reaches central platforms. By eliminating 50-70% of raw sensor noise and processing data locally, manufacturers reduce Snowflake/Databricks ingestion costs by 60% while improving data quality for production analytics.
Yes. Expanso integrates with 100+ platforms including Siemens MindSphere, GE Predix, AWS IoT, Azure IoT, Snowflake, Databricks, and custom SCADA systems. We process data at the source and enhance your existing manufacturing data platforms without requiring replacement.
Expanso processes production line data in real-time at the source, detecting defects and anomalies within milliseconds. ML models run locally on factory hardware, enabling immediate quality decisions without cloud latency. Automated alerts trigger when quality thresholds are exceeded.
Expanso supports ISO 9001, ISO 27001, ITAR, and industry-specific compliance requirements. All data transformations maintain full audit trails with lineage tracking, providing evidence for regulatory audits and quality certifications.
Initial deployment takes 2-4 weeks for the first factory. Additional locations deploy in days using policy templates. Updates propagate to all sites in under 30 seconds, enabling consistent governance across global manufacturing operations.