Aperio Becomes Snowflake Partner: The Trusted Data Layer for Industrial OT
Aperio DataWise now integrates with Snowflake, helping industrial organizations build trust in the OT data that powers operations, analytics, and AI.
Industrial companies are moving massive volumes of OT data — sensor readings, process measurements, equipment telemetry — from on-premise historians like AVEVA PI, AspenTech IP.21, and Honeywell PHD into Snowflake for analytics and AI. But trust breaks down at two layers. First, the source data itself: aging sensors, harsh environments, and historian compression settings introduce noise, gaps, and artifacts that no one catches. Second, the pipeline: even clean data can arrive in Snowflake with silent gaps, sampling mismatches, or replica drift — quietly undermining every model, dashboard, and decision downstream. That’s the problem Aperio solves.
The OT-to-Cloud Challenge
OT time-series data is inherently noisy. Aging sensors, harsh environments, and transmission through multiple network layers introduce variability and artifacts. Data teams spend countless hours fighting data issues — distinguishing a broken sensor from a broken pump — and AI projects fail to scale because the data can’t be trusted in production.
Meanwhile, even data that looks clean at the source can arrive in Snowflake corrupted by the pipeline itself: silent volume dropouts, sampling imbalances, compression artifacts, and replica drift. These issues don’t trigger alerts — they just quietly undermine trust in every model, dashboard, and decision downstream. OT teams resist migrating off on-premise historians precisely because they fear the cloud replica won’t match their high-fidelity local data.
Aperio DataWise: The Trusted Data Layer for Snowflake
As part of the Snowflake Partner Network, Aperio DataWise now integrates directly with Snowflake to help industrial organizations build trust in the OT data that powers operations, analytics, and AI — so they can improve performance today and accelerate AI adoption across the enterprise.
Continuous Data Quality Monitoring
DataWise is a self-supervised machine learning platform that continuously detects multi-dimensional anomalies across every OT data channel — automatically and at scale. No manual configuration. No threshold tuning.
Historian-to-Snowflake Fidelity Validation
DataWise Consistency Monitor continuously compares paired streams — source historian vs. Snowflake — to detect silent loss, sampling imbalance, compression artifacts, and replica drift. Mathematically prove end-to-end fidelity so OT leaders can treat Snowflake as the trusted system of record.
Decision-Ready Data for AI
DataWise turns industrial time-series data into trusted, decision-ready data — monitored, scored, and remediated before it ever reaches an AI model, a report, or a decision.
Customer Impact
Industrial organizations using Aperio DataWise with Snowflake see:
- Improved performance today — less time validating data, more time acting on insights
- Accelerated AI adoption — trustworthy inputs lead to models that actually work in production
- Faster triage — immediately distinguish IT issues from OT issues from process issues
- IT/OT alignment — a shared, quantified trust metric everyone can manage
Proven in Production
Aperio is deployed at some of the world’s largest energy, utility, and mining companies, including Devon Energy, Con Edison, Ormat, and Newmont. Our strategic investors include National Grid Partners, Chevron Technology Ventures, and Devon Energy — companies that understand the stakes of trusting OT data in the cloud.
Ready to build trust in your OT data on Snowflake? Contact us at [email protected]
Aperio helps industrial organizations build trust in the OT data that powers operations, analytics, and AI.