INDUSTRIAL INTELLIGENCE PLATFORM  ·  HOUSTON, TX
Industrial Intelligence for Process Data

Your AI is Only as
Good as Your Sensor Data.

VALID8A.AI delivers real-time validation and contextualization of process sensor data — so real-time advisory, optimization, and AI applications in Oil & Gas, Refining, and Chemicals run on inputs you can actually trust.

Contact Us See How It Works
LIVE CRUDE_UNIT_3 · FEED_TI_004
FEED_TI_004 · °C 347.2 VALIDATED
REACTOR_PT_112 · barg 28.4 VALIDATED
DISTILL_FT_087 · m³/h 163.9 DRIFT FLAG
COMP_VT_021 · mm/s 11.2 VALIDATED
HEALTH 98.7%
FLAGGED 14
PUBLISHED 203k/s
Standards Alignment
ISA-95 OPC-UA ISO 14224
The Problem

A data-quality gap that
nobody owns.

Across decades of operating and optimizing process units, our founders kept hitting the same failure mode — the sensor data was uncertain before the model ever saw it.

Everyone assumes someone else owns it

  • OT Teams

    Assure the historian app stays available — and ignore the data quality inside it.

  • I&C Technicians

    Assume instruments are fine until a work order is raised against them.

  • Process Engineers

    Assume the historian data feeding their models is already clean.

  • Data Scientists

    Assume both — and reconcile errors away so models run on faulty inputs.

What is VALID8A.AI

The validation layer between your
historian and your AI.

Plant sites have a layer between the historian and the AI pipeline that nobody owns. VALID8A.AI is engineered to be exactly that layer — real-time validation and contextualization built specifically for process sensor data.

Plant Sensors DCS · SCADA · Edge
VALID8A Validate · Contextualize · Certify
Trusted AI Inputs AI · APC · Ops · Reliability

Validate

Score every value against statistical, physical, and contextual rules — a real-time integrity verdict per tag.

Contextualize

Enrich each tag with equipment class, process unit, operating mode, and alarm state via ISO 14224.

Certify

Write the verdict back into the historian with an immutable, audit-ready trail behind every decision.

Data Ecosystem

VALID8A writes integrity status
back into your system of record.

Validation results don’t stay siloed in a side tool — they’re written into the data historian itself, so every downstream consumer reads each tag with its quality verdict attached.

Plant sensors feed VALID8A and the data historian. VALID8A validates tag integrity and reads from and writes back to the historian — the system of record across PI, IP.21 and PHD. Asset management supplies sensor hardware health into VALID8A, and AI/ML, optimizers, ops apps, reliability and performance applications all consume the result.

Scroll the diagram sideways to explore it

Every value carries its flag VALIDATED QUESTIONABLE BAD

Every value lands in the historian with its quality flag already attached, so downstream applications consume data they can defend. Asset-management integration folds sensor hardware health into the verdict, yielding combined hardware + sensor validation that asset-care, reliability, and AI teams can all trust.

Learn how it works in detail

// At Plant Scale

Engineered for the
harshest data environments on earth.

Continuous validation across the operating envelope — from a single compressor station to a fully-integrated downstream complex. Built to keep up with millions of tag updates per minute without dropping a single audit record.

Target Industries

Built for the most critical
process operations.

Designed alongside process and automation engineers who know that bad sensor data kills industrial automation and AI projects before they start.

Oil & Gas

Upstream and midstream sensor validation across wellheads, pipelines, compressor stations, and SCADA networks operating in remote and intermittent-comms environments.

WELLHEAD SCADAPIPELINECOMPRESSION

Refining

Continuous validation of asset- and unit-level instrumentation across integrated facilities and plant sites.

CDU / VDUHYDROCRACKUTILITIES

Chemicals & Petrochemicals

Batch and continuous process data integrity for reactors, separators, polymerization trains, utility systems, and on-line analyzer networks.

REACTORSPOLYMERANALYZERS
Workflow

From raw plant tags to
trusted AI inputs.

A four-stage pipeline engineered for plant-floor scale and operator confidence — running on-prem, edge, or private cloud.

A four-stage pipeline. 01 Configure — standard and scalable configuration loaded directly from control-system configuration files, so every tag arrives with its equipment context, hierarchy and validation profile (DCS config, asset hierarchy). 02 Connect — pull live and historical data from historians, DCS, SCADA and edge devices via certified protocol adapters (OPC-UA, OCF, PI, IP.21). 03 Detect — validation algorithms detect anomalies, degradation and ultimate failure; every tag receives a real-time integrity score (SPC, anomaly detection). 04 Publish — write back to the data historians as the system of record, or publish to dashboards and third-party HMIs; each tag carries its quality verdict (historian, dashboards, REST).

Scroll the diagram sideways to explore it

How It Works

Six engineered stages,
explained step by step.

A walk-through of what happens to a single sensor value as it moves from a transmitter on the unit through VALID8A and out to the consuming AI model or optimizer.

01

Ingestion across every common protocol

Certified protocol adapters pull live values from DCS controllers, SCADA front-ends, OPC-UA devices, and read historian backfill in parallel. The ingestion tier is stateless and horizontally scalable.

OPC-UAPROFIBUSMQTT
02

Statistical health scoring on every tag

Each value is checked against multiple statistical envelopes — range, rate-of-change, CUSUM / EWMA drift, cross-tag correlation, and frozen-value detection. Failures are aggregated into a single health score (0–100) per instrument so engineers see one number, not twelve alarms.

SPCCUSUMEWMAWESTERN ELECTRIC
03

Cleansing — rules first, ML second

Trusted rules handle the obvious: drop frozen values, suppress spikes outside instrument range, gap-fill short comms drop-outs. ML models then handle the subtle cases — analyzer drift inside the calibrated range, persistent low-magnitude bias, multi-tag inconsistencies. Every transformation is reversible.

RULE ENGINEML HYBRIDREVERSIBLE
04

Contextual tagging via ISO 14224

Each tag is enriched with its equipment class, process unit, operating mode, and alarm state, so downstream models can distinguish "the column is in a startup transient" from "the temperature transmitter is broken." Context is sourced from your existing tag dictionary and AMS hierarchy.

ISO 14224OPERATING MODEEQUIPMENT CLASS
05

Integrity write-back to the historian

The verdict (VALIDATED · QUESTIONABLE · BAD) and its confidence score are written back into the historian alongside the value — using each historian’s native quality-flag mechanism (PI digital states, IP.21 status, etc.). Every downstream consumer reads the value with the quality verdict already attached.

PI DIGITAL STATESIP.21 STATUSNATIVE QUALITY CODES
06

Audit-trail publish & downstream feed

Every transformation is logged with before / after value, rule that fired, model confidence, and analyst override (if any). Certified-clean streams are published to AI/MLOps pipelines, optimizers, MES, LIMS, and reliability platforms via REST, Kafka, or direct historian write — whichever your stack expects.

RESTKAFKAHISTORIAN WRITE
Platform Capabilities

End-to-end validation
at industrial scale.

Five engineered subsystems that turn raw plant tag streams into a certified, AI-ready data product — with full audit trail.

01

Sensor Health Scoring

Continuous instrument health via SPC, range, rate-of-change, and cross-tag checks — flags degraded sensors before they corrupt downstream inputs.

SPC · CUSUM · EWMA
02

Process Context Tagging

Enriches raw tags with process unit, equipment class, operating mode, and alarm-state metadata.

ISO 14224 Taxonomy
03

Historian & DCS Integration

Native connectors for AVEVA PI, AspenTech IP.21, Honeywell PHD and leading DCS — OPC-UA and OCF built in.

OPC-UA · REST · MQTT
04

Validation Audit Trail

Immutable, timestamped log of every validation decision with confidence scores and analyst-override tracking.

Immutable · Tamper-proof
05

Sensor Priority Awareness

Every tag inherits a priority from the equipment and unit operation it serves — critical tags get tighter thresholds and faster escalation.

Equipment-Driven Hierarchy
Use Cases

Where VALID8A delivers
measurable impact.

Real-world operations, reliability, control, and performance outcomes — driven by data your engineers can stand behind.

Operations

Give console operators and unit-operations teams validated real-time values and early event detection — so interventions respond to genuine process events, not instrument faults masquerading as upsets.

<1 minsensor-fault detection

Predictive Maintenance

Ensure vibration, temperature, and pressure sensors feeding rotating-equipment models are free of drift and comms errors that drive false alarms.

−63%false alerts on rotating assets

Advanced Process Control

Validate feed-forward and feedback sensor inputs for APC controllers and MPC models — preventing bad-data-induced upsets and unplanned shutdowns.

+4.2%APC on-control uptime gain

Performance Optimization

Validate the sensor inputs feeding performance models — heat-exchanger duty, pump efficiency, KPI calculations — so plant performance benchmarking reflects real equipment behavior, not analyzer drift.

+3.1%performance-benchmark accuracy
The Payback

From validated data to
autonomous operations.

Faster, deterministic detection of faulty process sensors does three things at once — and each one compounds the next.

Timely instrument repair

Integrated workflows initiate the repair of the sensor itself, so the faulty population is driven down instead of being re-discovered every deployment.

I&C work queue · CMMS · AMS

Enterprise data integrity

The verdict is written into the system of record, so every dashboard, KPI and report inherits data quality from a single integration.

Historian write-back · PI · IP.21 · PHD

Closed loop and autonomy, with confidence

Optimization, APC / MPC and autonomous operations AI run on inputs that carry a deterministic integrity verdict — no human sanity check required.

APC · RTO · AI / MLOps
Closing the Loop

Closing the loop on the
instrument itself.

A verdict that only informs a model leaves the fault in the field. VALID8A names the instrument and the failure mode — so the output is directly actionable.

01 Detect

Sensor fault identified

Signal characterization names the instrument and how it is failing — not an anomaly score to be triaged later.

< 1 min · Named failure mode
02 Prioritize

Ranked by consequence

The verdict inherits the priority of the equipment and unit operation the sensor serves, setting escalation speed and validation rigor.

P1 – P4 equipment priority
03 Dispatch

Actionable work order

An I&C work-queue entry carries the tag, the failure mode, and the recommended action — merged with hardware health from asset management.

CMMS · SAP PM · AMS · PRM
04 Verify

Cleared in the system of record

The repaired instrument is re-scored and its verdict cleared in the historian, so every downstream consumer sees it recover.

Historian write-back
Faulty-sensor population driven down — not continuously re-discovered
Who It Serves

Four roles on every plant
that use VALID8A.

VALID8A’s validated tag streams and integrity flags surface in the tools each role already lives in — control-room HMIs, instrumentation work-queues, maintenance backlogs, and engineering studies.

Operations

Cares aboutTrustworthy values on the HMI — no chasing ghost alarms or second-guessing the analyzer.
GetsReal-time integrity flags on every tag, surfaced where operators already look.

I&C Technicians

Cares aboutKnowing exactly which transmitter is drifting and what failure mode it’s exhibiting.
GetsSensor-health scoring that names the instrument, the failure mode, and the recommended action.

Maintenance

Cares aboutPrioritizing rotating-equipment work that’s actually warranted — not driven by a bad sensor.
GetsCombined hardware + sensor verdicts via CMMS integration — no PdM call-outs for drifted analyzers.

Process Engineers

Cares aboutDefending model outputs, unit performance numbers, and AI conclusions in front of a review board.
GetsForensic audit trail and certified-clean tag streams feeding every downstream model.
“The faster sensor data validation function enables the development of AI project scopes impacting the plant operations while also addressing the data quality for enterprise-level apps.”
— DIGITAL INDUSTRY ANALYST
Why VALID8A.AI

Built by engineers,
for engineers.

Founded by veteran process and automation engineers — every design decision is informed by what actually works on a plant floor at 3 a.m.

  • Process Domain Expertise

    Developed with veteran O&G and refining engineers — not generic data scientists who’ve never seen a P&ID.

  • Edge & Cloud Deployment

    Run on-prem, at the edge on industrial hardware, or in a private cloud.

  • No Black Box

    Every validation decision is explainable. Automation engineers retain full override control and visibility into each transformation.

  • Rapid Onboarding

    Typical integration to first validated data stream in under two weeks. Pre-built templates accelerate common process-unit types.

Standards & Compliance

VALID8A.AI is engineered to align with the regulatory and technical standards that govern industrial operations across the global energy sector.

ISA-95
OPC-UA
ISO 14224
Get in Touch

Contact VALID8A today
to see how data quality can improve your applications.

Real-time advisory, optimization, reliability platforms, AI initiatives — your downstream applications are only as good as the sensor data feeding them. Reach out to find out how VALID8A’s validated, certified-clean process data will enhance your initiatives.

Contact Us
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