INDUSTRIAL INTELLIGENCE PLATFORM  ·  HOUSTON, TX
Media & Resources

Technical papers from the
plant floor.

Field-informed writing on process sensor data integrity — what actually breaks, how it is detected, and what it costs the AI and optimization layers downstream.

White Paper · PDF · 19 pages

The Foundation Layer for Autonomous Operations

Why real-time process sensor data validation is the prerequisite — not the postscript — for industrial AI, closed-loop optimization, and autonomous process operations.

VALID8A.AI  ·  Refining · Chemicals · Oil & Gas  ·  August 2026

Written for operations, engineering, automation, and digital technology management responsible for AI and autonomous-operations programs. Every autonomy roadmap rests on an assumption that is almost never tested — that the sensor values arriving from the historian are correct.

Inside
  • Autonomy raises the cost of a wrong number
  • A data-quality gap that nobody owns
  • Why retrospective analytics is not validation
  • Validate, contextualize, certify — and the four tenets that make it work at plant scale
  • What happens to a single sensor value, end to end
  • What real-time validation does not do
  • How to sequence this into an existing program
5–20%of sensors found faulty on first deployment
< 1 minto detect a sensor fault
< 2 weeksto first validated data stream

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Want to talk through your
own tag streams?

A 30-minute review with our process automation engineers — bring your historian, DCS, and AI/MLOps platforms and we will walk through exactly how VALID8A would sit in the middle.

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info@valid8a.ai  ·  ANSWERED WITHIN ONE BUSINESS DAY