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Enterprise Layer Intelligence
Categories/Data Platform & Integration/Timeseer.ai
Timeseer.ai

Timeseer.ai

Founded by Bert Baeck in 2021

Validate industrial IoT and sensor data to prevent errors in analytics and operations

Pricing model

Free Trial, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Timeseer to validate, clean, and monitor industrial sensor data across complex operations. It monitors streaming telemetry from IIoT devices to detect drift, flatlined signals, missing values, and calibration issues before corrupt records affect digital twins or machine learning models. You can investigate data anomalies with guided incident workflows, correct corrupted data streams, and coordinate sensor maintenance tasks. It connects directly with existing industrial historians, cloud data stores, and analytics systems to keep operational dashboards, regulatory reports, and billing models dependable.

What Timeseer.ai does

Identify missing or flatlined sensor readings across connected devicesReconstruct and correct corrupted historical sensor streamsAssign sensor repair tickets to field maintenance crewsAudit telemetry data quality before feeding predictive AI modelsGenerate data compliance reports for regulatory authoritiesConfigure automated anomaly detection rules for industrial assetsDetects sensor drift, flatline signals, and missing values automaticallyDistinguishes between faulty physical hardware and pipeline transmission errorsGroups recurring data anomalies into actionable incident ticketsCorrects and cleans corrupted time-series data streams interactivelyMaintains audit trails and data traceability for complianceIntegrates with operational technology historians and cloud warehouses

Pricing breakdown

Pricing model: Free Trial, Paid

Frequently asked

Microsoft AzureMicrosoft Azure

Used by

Jack Oldham

Jack Oldham

Other @ NA

In their stack

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Timeseer, sensor data validation, IIoT data quality, industrial data downtime, sensor drift detection, IoT telemetry validation, smart meter validation, dirty data cleansing, operational technology data, predictive maintenance data, audit-ready sensor data, data reliability, time series data cleaning, incident triage, SCADA data validation