Stop Shutting Down Healthy Equipment Because of Bad Data
Stop drift, delays, and duplicate signals from distorting predictive maintenance.
No infrastructure replacement. No pipeline rewrites.
Scenarios That Trigger Unnecessary Shutdowns
Every one of these conversations happens because the data reaching your systems can not be trusted.
Vibration Trend Doubt
"That vibration trend looks off... but before we touch the pump, can someone check if the PLC dropped samples or the historian ingested late?"
With Expanso
Expanso validates every vibration sample at the source, detecting dropped readings and ingestion lag before the data reaches your historian or model.
Pressure Spike Confusion
"Pressure spiked for three minutes. Is that real process drift, or did the controller retransmit and create duplicates upstream?"
With Expanso
Expanso detects duplicate and retransmitted telemetry in real time, suppressing redundant events before they distort pressure trends.
Timestamp Distrust
"I'm not shutting down a line over data that might be out of sequence. Confirm the timestamps before we make that call."
With Expanso
Expanso enforces timestamp and sequence validation at the edge, ensuring telemetry is complete and time-consistent before ingestion.
How Expanso Protects Predictive Maintenance
Every integrity gap feeds directly into your models, dashboards, and decisions. Expanso closes those gaps at the source.
The Gap
5-15% duplicate telemetry under retry distorts trends
Expanso Fix
Removes duplicates at source before ingestion
The Gap
Seconds of ingestion lag create false spikes
Expanso Fix
Enforces timestamp accuracy at the edge
The Gap
Batch delays shift models by minutes
Expanso Fix
Detects lag in real time before data enters pipelines
The Gap
Incomplete windows increase false positives
Expanso Fix
Ensures complete data windows before analytics
14,847 Distributed Endpoints
A major US city deployment validated Expanso's approach to edge-first data integrity at scale.
Before
- 4.7PB/month centralized
- 7-day retention limit
- 3-day investigations
- $4.3M/month quoted
What Changed
- Moved validation closer to sources
- Raw data kept local
- Only metadata sent upstream
After
- 47GB metadata + 230GB flagged clips
- 5-year retention
- 4-hour investigations
- Pilot: 8 weeks, Full: 5 months
"Don't We Already Have SCADA and Predictive Analytics?"
Yes, you do. And they work well for what they were designed to do. SCADA visualizes process data. Historians store it. Predictive analytics models consume it.
The problem is what reaches them. None of these systems enforce that the incoming sensor and PLC telemetry is complete, time-consistent, or free of duplicates. They trust the signal. And when the signal is distorted, the output is distorted.
Expanso validates sensor and PLC telemetry before ingestion - detecting drift, duplication, and ingestion lag in real time so your existing systems operate on clean, trustworthy data.
Your SCADA and analytics stay exactly where they are. The difference is, now they run on verified signals.
Built For Energy Infrastructure
- Works across SCADA, PLCs, and sensor networks
- Vendor-agnostic - fits any existing stack
- No disruption to existing operations
- Deploys incrementally, site by site
Why Deploy Expanso
- Runs where your assets operate - at the edge
- Does not replace your analytics - makes them accurate
- Reduces false maintenance alerts
- Improves model accuracy across the board
- Scales across distributed infrastructure
If the Signal Isn't Clean, Neither Is the Decision
Fix the signal. Take control.