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.
Viviota is partnering with Signal.X sharing a booth at NI Connect 2026
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
Engineering Data Challenges in High-Stakes Industries
Topics: Test, IoT, Viviota, SAP, Sensors, automotive industry, Real-time computing, U.S. Grand Prix, Sensor Data, Machine Learning, aerospace, ADAS, NIWeek, ANC, Sensor Data Management, data cleansing, simulation, webinar, Smart Factories, Manufacturing, Intelligent Data handling, Software, LabVIEW
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.
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
We’re proud to partner with TD SYNNEX, a global leader in technology distribution and solutions orchestration. TD SYNNEX brings together an extensive ecosystem of IT products, services, and innovative solutions that help technology providers and resellers accelerate growth and deliver value to their customers. With operations spanning more than 100 countries and decades of experience connecting world-class technology vendors with the partners who serve the market, TD SYNNEX simplifies complex technology challenges and unlocks new opportunities across enterprise IT, cloud, networking, security, and more.
Topics: IoT, Viviota, Sensor Data, Machine Learning, Edge Computing, Smart Factories, Manufacturing
CES 2026: The Line Between Science Fiction and Engineering Just Disappeared
Topics: Test, Big Data, Analytics, Viviota, SAP, Sensors, automotive industry, Real-time computing, COTA, U.S. Grand Prix, Autonomous Vehicles, Sensor Data, Machine Learning, aerospace, Analog Data, ADAS, Hybrid Cars, NIWeek, ESS, ANC, Sensor Data Management, data cleansing, simulation, webinar, Smart Factories, Manufacturing, Intelligent Data handling, Software, LabVIEW, Build Back Better Act, Digital transformation
Where Real-World Engineering Data Meets Synthetic Intelligence
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
CES 2026: The Line Between Science Fiction and Engineering Just Disappeared
Walking the floor at CES this year felt like stepping into a future that suddenly arrived all at once. Everywhere you turned, there were robots, intelligent machines, autonomous systems, and increasingly lifelike interfaces. But unlike past years, many of these technologies no longer felt like fragile demos or research experiments.
Topics: Engineering Data, Big Data, Analytics, Autonomous Vehicles, Analog Data, Digital transformation
CES 2026 Blog Series: Mind-boggling technology observations
Over the next few weeks, I’ll be sharing a short series of observations from CES 2026 across three themes:
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
Stop Losing Time: How Engineering Data Can Save Millions
Engineering teams possess an underutilized goldmine in today’s fast-paced industrial landscape: their data. From sensor readings and vibration logs to video, sound, and test metadata, engineering data holds critical insights that can accelerate innovation, reduce costs, and safeguard operations against failure. Yet, a significant portion of engineering time is wasted merely searching for, organizing and wrangling data to make it usable.
Topics: Engineering Data, Big Data, Analytics, Viviota, IIoT, automotive industry, Autonomous Vehicles, Sensor Data, Machine Learning, aerospace, Analog Data, Sensor Data Management, data cleansing, simulation, Edge Computing, Manufacturing, Intelligent Data handling, Build Back Better Act, EV, Digital transformation
NVIDIA Show Report: AI & ML Take Center Stage at the "Woodstock of AI"
Topics: Engineering Data, Big Data, automotive industry, Autonomous Vehicles, Machine Learning, Analog Data, data cleansing, Edge Computing, Intelligent Data handling, Digital transformation