Your MES knows about defects after they ship. Your predictive maintenance predicts yesterday. Run quality ML on the line. Catch problems in process.
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.
Factory floor data needs alignment, qualification, and governance for AI-powered production.
Learn About AI-Ready Data →Add semantic meaning to sensor data. Convert raw PLC signals to structured, analyzable formats.
Enforce data quality at the production line. Route anomalous readings for review automatically.
ISO compliance before data leaves the factory floor. Audit trails for quality certifications.
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.
We work with Siemens, Rockwell, GE, Schneider, and just about every PLC and SCADA system your OT team has deployed. The hard part in manufacturing isn't connecting to cloud platforms - it's bridging the OT/IT divide without your security team losing sleep. We process on the factory floor, behind your air gap. Only aggregated, governed data leaves the production network.
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.