It's a natural fit. Signal.X brings 20+ years of NVH and end-of-line test expertise — defining defect-revealing test targets, controlling test stands with precision, and archiving raw and processed data. Viviota provides the engineering data platform that scales it across the enterprise — ingesting and unifying sensor data, making it searchable, and powering a fast analysis workbench for your engineering teams.
Together, the integrated solution helps manufacturers:
• Dramatically reduce time-to-insight
• Cut test costs and eliminate redundant testing
• Pinpoint root causes of failures and performance drift
• Operationalize AI/ML for predictive quality and reliability
If you'll be at NI Connect, two ways to connect:
1) Catch Barry Hutts Tech Stage talk
"From Chaos to Clarity: Turning Test & Measurement Data into AI-Ready Pipelines"
Thursday, May 14 | 8:20–8:40 AM
2) Stop by our shared Viviota + Signal.X booth
We'll walk you through the integrated solution live, with real test data.
Not attending but curious? Send an email to Pete.Zogas@viviota.cpm
Looking forward to seeing you in Fort Worth.
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Topics:
Big Data,
Analytics,
Sensors,
Electric Grid,
Real-time computing,
Autonomous Vehicles,
Sensor Data,
Machine Learning,
Analog Data,
ADAS,
NIWeek,
ANC,
Sensor Data Management,
Edge Computing,
Factory 4.0,
Smart Factories,
Manufacturing,
Digital transformation
Why engineering data preparation is the hidden ROI driver
Engineering data preparation is the systematic process of cleansing, structuring, enriching, and tagging raw test and sensor data so engineers can find, trust, and use it quickly for analytics and AI. Done well, it turns chaotic files and logs into a reusable asset that cuts time-to-insight from days to seconds and unlocks predictive models.
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Topics:
Big Data,
Analytics,
IIoT,
Electric Grid,
F1,
COTA,
Autonomous Vehicles,
Analog Data,
ADAS,
Hybrid Cars,
Electric Cars,
ESS,
ANC,
Edge Computing,
Factory 4.0,
Intelligent Data handling,
Build Back Better Act,
EV,
Digital transformation
Viviota and Rockfish Partner to Accelerate AI-Driven Engineering with Real and Synthetic Data
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Topics:
Engineering Data,
Big Data,
Analytics,
automotive industry,
Electric Grid,
Autonomous Vehicles,
Machine Learning,
aerospace,
Hybrid Cars,
Electric Cars,
Sensor Data Management,
Edge Computing,
Factory 4.0,
Manufacturing,
Intelligent Data handling,
Software,
Digital transformation
Over the next few weeks, I’ll be sharing a short series of observations from CES 2026 across three themes:
Read More
Topics:
Engineering Data,
Big Data,
Analytics,
IIoT,
Autonomous Vehicles,
Sensor Data,
Machine Learning,
Analog Data,
Electric Cars,
ANC,
Sensor Data Management,
Edge Computing,
Factory 4.0,
Manufacturing,
Intelligent Data handling,
LabVIEW,
Digital transformation
Around the globe, in practically every sector, manufacturing facilities are undergoing a major transformation. Factory 4.0, Smart Factories, is becoming a reality. Digitization is changing the way we process materials and make products. Data and the intelligence it can provide is proving to be the key to completely reshaping manufacturing.
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Topics:
webinar,
Edge Computing,
Factory 4.0,
Smart Factories,
Manufacturing,
Intelligent Data handling
