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/ Manufacturing & Industrial IoT

Control Factory Data<br>at the Source.

Your MES knows about defects after they ship. Your predictive maintenance predicts yesterday. Run quality ML on the line. Catch problems in process.

/ The problem

Factory Data Needs<br>Upstream Control.

Thousands 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.

Control data at the source. Send only what matters downstream. Prevent downtime faster.

Use Cases
What Expanso Delivers
Real-Time Machine Monitoring
Spot anomalies instantly, minimize disruptions
Predictive Maintenance
Detect failures before they happen, not after
Quality Control Analytics
Analyze production patterns in real-time
Factory-Wide Data Unification
Aggregate insights across locations without centralization risk
Distributed + Cloud Hybrid Operations
Process at the source, scale in the cloud

/ Capabilities

Make Manufacturing Data AI-Ready

Factory floor data needs alignment, qualification, and governance for AI-powered production.

/ Alignment

Production Context at Source

Add semantic meaning to sensor data. Convert raw PLC signals to structured, analyzable formats.

/ Qualification

Validate Production Data

Enforce data quality at the production line. Route anomalous readings for review automatically.

/ Governance

Compliance Built-In

ISO compliance before data leaves the factory floor. Audit trails for quality certifications.

Learn About AI-Ready Data

/ Integrations

Enhance The Platforms You <i>Already</i> Use

Snowflake for analytics. Databricks for AI. Splunk for security. Datadog for observability. Expanso sits upstream - sending clean, governed data to all of them.

Explore Integrations

/ Cost impact

Processing terabytes of sensor data in centralized platforms?

Expanso filters, transforms, and governs data at the source - before it reaches your data centers. Accelerate production decisions while preventing downtime.

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Calculator Inputs

110,000
1 GB100 GB
Total Daily Ingest (All Nodes)
359,660 GB
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1 day365 days
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$500$5,000
$0.005$0.05
50%95%

Your Savings Potential

Year 1 Savings
$0
3-Year Savings
$0
5-Year Savings
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% Edge Reduction
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Save Me Money!

Key Benefits

  • Reduce SIEM costs by processing logs at the edge
  • Maintain compliance with cheap raw log archiving
  • Remote filtering with lossless replay capability
  • Scale savings as your data grows

/ What we power

Powering the Next Generation of Smart Manufacturing

AI-Powered Quality Control

Real-time defect detection at the source

Multi-Plant Coordination

Unified operations without centralization delays

Supply Chain Optimization

Process logistics data locally with governance

Regulatory Compliance

Automated compliance across all facilities

Factory-to-Factory Analytics

Break down silos with governed data sharing

Industrial IoT Integration

Process sensor data at the source with governance

Production Line Optimization

Real-time adjustments with clean data

Energy Management

Monitor and optimize power consumption in real-time

/ Outcomes

Better Performance, Faster Decisions

Real-Time Response

AI-Ready Infrastructure

Upstream Control

Make production decisions in milliseconds

Run analytics where data is created

Filter, transform, govern before data moves

/ FAQ

Frequently Asked Questions

How does Expanso reduce manufacturing data infrastructure costs?

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.

Can Expanso work with our existing industrial IoT systems?

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.

How does Expanso enable real-time quality control?

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.

What compliance standards does Expanso support for manufacturing?

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.

How quickly can Expanso deploy across multiple factory locations?

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.

/ Let's talk

Predictive maintenance predicting yesterday?

If your quality models run on batch data, or your production line learns about defects after they ship, we should talk.