VALID8A.AI delivers real-time validation and contextualisation of process sensor data — so real-time advisory, optimisation, and AI applications in Oil & Gas, Refining, and Chemicals run on inputs you can actually trust.
Designed alongside process and automation engineers who know that bad sensor data kills industrial automation and AI projects before they start.
Upstream and midstream sensor validation across wellheads, pipelines, compressor stations, and SCADA networks operating in remote and intermittent-comms environments.
Continuous validation of asset- and unit-level instrumentation across integrated facilities and plant sites.
Batch and continuous process data integrity for reactors, separators, polymerization trains, utility systems, and on-line analyzer networks.
Five engineered subsystems that turn raw plant tag streams into a certified, AI-ready data product — with full audit trail.
Continuous instrument health assessment using statistical process control, range checks, rate-of-change limits, and cross-tag validation — flagging degraded or failed sensors before they corrupt downstream inputs.
SPC · CUSUM · EWMAEnriches raw tag data with process unit, equipment class, operating mode, and alarm-state metadata — so downstream applications can distinguish meaningful process variation from instrumentation noise.
ISO 14224 TaxonomyNative connectors for OSIsoft PI, AspenTech IP.21, Honeywell PHD, and leading DCS platforms. OPC-UA and PROFIBUS protocol support built-in.
OPC-UA · REST · MQTTImmutable, timestamped log of every validation decision with confidence scores and analyst override tracking — essential for governance, reliability reviews, and regulatory compliance.
Immutable · Tamper-proofEvery tag carries an inherited priority — driven by the equipment and the unit operation it serves. Safety-critical, control-critical, KPI-critical, and advisory instruments each get their own validation profile: tighter thresholds, faster escalation paths, and richer audit context for the tags that matter most to the process.
Equipment-Driven HierarchyA four-stage pipeline engineered for plant-floor scale and operator confidence — running on-prem, edge, or private cloud.
Standard and scalable configuration loaded directly from the control-system configuration files — so every tag arrives with the equipment context, hierarchy, and validation profile it needs.
DCS Config · Asset HierarchyPull live and historical data from historians, DCS, SCADA, and edge devices via certified protocol adapters.
OPC-UA · MQTT · PI · IP.21Validation algorithms detect anomalies in sensor performance, degradation, and ultimate failure — every tag receives a real-time integrity score.
SPC · Anomaly DetectionPublish validation status to dedicated dashboards, third-party HMI dashboards, or write it back to the system of record (data historian) — so every downstream consumer reads each tag with its quality verdict already attached.
Dashboards · Historian · RESTValidation 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.
Every value lands in the historian with its quality flag attached — VALIDATED QUESTIONABLE BAD — so downstream applications consume data they can defend. Asset-management integration adds hardware health into the verdict, yielding combined hardware + sensor validation that asset-care, reliability, and AI teams can all trust.
Real-world operations, reliability, control, and performance outcomes — driven by data your engineers can stand behind.
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.
Ensure vibration, temperature, and pressure sensors feeding rotating-equipment models are free of drift and comms errors that drive false alarms.
Validate feed-forward and feedback sensor inputs for APC controllers and MPC models — preventing bad-data-induced upsets and unplanned shutdowns.
Validate the sensor inputs feeding performance models — heat-exchanger duty, pump efficiency, KPI calculations — so plant performance benchmarking reflects real equipment behaviour, not analyser drift.
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.
Founded by veteran process and automation engineers — every design decision is informed by what actually works on a plant floor at 3 a.m.
Developed with veteran O&G and refining engineers — not generic data scientists who’ve never seen a P&ID.
Run on-prem, at the edge on industrial hardware, or in a private cloud.
Every validation decision is explainable. Automation engineers retain full override control and visibility into each transformation.
Typical integration to first validated data stream in under two weeks. Pre-built templates accelerate common process-unit types.
VALID8A.AI is engineered to align with the regulatory and technical standards that govern industrial operations across the global energy sector.
Real-time advisory, optimisation, 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