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TrendMiner

Industrial analytics platform for time-series data monitoring and contextualization

Deployment
Hybrid
Pricing
Quote only
Target size
enterprise plants

Updated · By , Founder, MetaProject · How we rank

About TrendMiner

TrendMiner is an industrial analytics platform that turns operational data into decisions for plant and process teams. Its analytics layer includes time-series analytics, event analytics, statistics, machine learning, visualization and reporting. A DataOps layer provides a data catalog and data contextualization, transforming raw time-series signals into structured events with feature engineering. The platform also includes monitoring and alerting functions described as running continuously.

The vendor's site describes connectivity to machine sensors, Manufacturing Execution System data, Quality Management System records, Enterprise Resource Planning system data, and manually entered field data such as rounds, shift logs, asset hierarchy, failure modes and best operating models. Solution areas listed are Operations Performance Management, Asset Performance Management, and Reporting, Compliance & Safety. Industries named include chemical, energy and natural resources, food and beverages, discrete manufacturing, water and wastewater, and utilities and facility management, suggesting a focus on continuous and batch process manufacturers.

The vendor's site does not publish pricing plans or figures; it invites visitors to schedule a demo or talk to an expert instead. It does not describe whether the platform is hosted by the vendor, installed on customer infrastructure, or offered both ways. Details on how the listed MES, QMS and ERP connections are technically implemented, such as supported protocols or named connectors, are not given on the pages reviewed.

TrendMiner at a glance

Key facts about TrendMiner
HeadquartersBelgium
DeploymentHybrid
Pricing modelQuote only
Pricing (as reported)quote
Target sizeenterprise manufacturers
IndustriesChemical, Energy & Natural Resources, Food & Beverages, Discrete Manufacturing, Water & Wastewater, Utilities & Facility
IntegrationsManufacturing Execution System data, Quality Management System records, Enterprise Resource Planning system data, Machine sensors

Pricing and facts as reported by the vendor or public listings, checked when this profile was researched. Source: aimultiple.com.

Pros and cons

What works

  • Documents connectivity to MES, QMS and ERP data sources
  • Includes a data contextualization layer that converts time-series data into events
  • Provides machine learning, statistics and event analytics within one analytics layer
  • Includes monitoring and alerting functionality

What does not

  • No pricing information published on the site; buyers must request a demo
  • Deployment model (cloud, on-premise, or hybrid) is not described
  • Technical details of how MES, QMS and ERP connections work are not specified

Who TrendMiner is best for

Process manufacturers, such as chemical or energy operations, needing to contextualize time-series sensor data into events for operations and asset performance monitoring.

Compared in

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