Energy data you can act on at scale.
Timeseer helps manufacturing companies verify, validate, and govern millions of time series datapoints from smart meters, sensors, and energy assets so energy costs, audits, and operational performance aren’t left to chance.
Reduction in manual data validation time
Smart energy meters verified, cleaned and protected by Timeseer.AI
Yearly energy savings recaptured by a global manufacturer.
Read the full case study.
Challenges faced by manufacturing companies
Energy & utilities operations teams
Are you constantly firefighting energy data issues instead of preventing them?
Is manual validation slowing down your reporting, benchmarking, and cost allocation?
Are you relying on fragile scripts or spreadsheets to catch anomalies?
Is it unclear who changed what and when in your validation process?
Analytics, sustainability & metering units
Are your energy models being skewed by bad or missing meter data?
Is it hard to tell if an anomaly is a true inefficiency or just noise?
Are you losing confidence in dashboards meant to guide performance decisions?
Is each new site or meter rollout creating more chaos than clarity?
Regulatory, ESG & compliance officers
Are you struggling to prove that your energy data is audit-ready and traceable?
Might your current data workflow expose you to compliance or reputational risk?
Are you unsure how anomalies are identified and corrected?
Is it hard to keep up with evolving standards around AI, ESG, and data governance?
A shift to smart energy data
Energy data is now a strategic asset: one that impacts your bottom line, audit trail, and sustainability narrative. But for many manufacturers, that asset is broken.
When energy data fails, the fallout isn’t just technical. It’s operational, financial, and reputational.
“Smart meters were meant to drive efficiency. Instead, they’ve become another black box.”
“We know we’re leaking savings, but we can’t pinpoint where or how much.”
“Our dashboards pass the eye test, but no one really trusts them.”
Global manufacturers report thousands of inaccurate meter readings due to firmware bugs, network failures, or system mismatches.
In many cases, meters revert to “dumb mode” or stop reporting, triggering billing errors, ESG reporting gaps, and plant-level confusion.
Regulators and stakeholders are raising pressure — especially when poor data impacts carbon reporting, site benchmarking, or audit readiness.
Trusted energy data
Timeseer validates and contextualizes your plant-level sensor and meter data before it feeds your reporting, dashboards, and energy management systems.
Anomaly detection across thousands of meters and assets
Rule-based and AI-assisted validations
Event tracking: asset changes, outages, maintenance events
No-code interface for energy teams and data stewards
Plug-and-play with meters, SCADA, historians, BMS, and BI tools
Full audit trail for every flag, fix, and finding
From electricity to gas to steam: we help you stay in control.
Proof in practice
A global manufacturer was scaling smart meter deployment to 50+ sites to monitor and optimize energy. But the numbers didn’t line up.
Production volumes and energy use weren’t syncing
Dashboards looked good, but were built on patchy data
Plant managers were optimizing based on noise
Missed energy projects were costing millions
The turning point:
They realized their dashboards weren’t just unhelpful. They were misleading. Data gaps, duplicates, and lagging meter reads meant energy insights couldn’t be trusted.
Energy and process data validated in real time
Connectivity issues surfaced immediately — no silent failures
Gaps intelligently filled using similar production cycles
Dashboards finally reflected floor-level reality
0.5% energy savings recaptured — worth €2M/year
Operational trust in reporting fully restored
Cloud migration completed with verified raw data
No regulation yet? No problem.
There’s no global penalty for poor energy data governance (yet). But that hasn’t stopped stakeholders from calling out avoidable errors.
Forward-looking manufacturers are investing in governed energy data not because they’re forced to but because it pays off.
You’re early. And that’s an advantage.
Most manufacturers are still reacting to energy data problems. The ones who win will be those who invest in **data quality infrastructure** before issues become systemic.
Frequently asked questions
Yes. Timeseer is an open platform that supports integration with the most common applications used for data storage of OT/sensor data, as well as most analytics solutions. We also have as strong partnership with Microsoft and AWS and are available on both market places.
Automating sensor data management brings a wealth of benefits. It is scalable, governable and error free approach that enables companies to reach their strategic goals using digital technologies.
Timeseer uses advanced AI and automation to clean and optimize sensor data. It proactively identifies issues like faulty readings or missing data, helping you achieve more accurate and reliable insights for decision-making.
Timeseer is a sensor data quality management platform that helps utilities manage the quality of all their sensor data in an automated, centralized and scalable way, enabling the utilities to leverage data for leak detection, Digital Twins, Predictive Maintenance, data validations and many more.
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