TrendMiner

TrendMiner, a Proemion company, provides self-service industrial analytics software for process engineers, operations teams, and reliability specialists. It combines time-series and contextual event analysis, pattern search, monitoring, machine learning, visualization, reporting, and newer agentic-AI workflows so plant experts can investigate operational problems without relying on data scientists for routine analysis.

1. Industrial analysis: Engineers can explore historical process data, search for similar operating periods, compare batches and events, calculate new signals, investigate correlations, and develop hypotheses about root causes. Findings can then be turned into dashboards, calculated tags, monitors, and alerts that continue watching for the same conditions in live operations.
2. AI and predictive workflows: TrendMiner supports machine-learning and predictive use cases such as anomaly detection, forecasting, classifications, and asset or process-performance monitoring. Its 2026 Analytics Agent adds natural-language investigation across historian, asset, and event data, can perform multistep root-cause analysis, and can create reports, dashboards, and monitoring workflows. TrendMiner also supports MCP connectivity and model-agnostic integration with external AI environments.
3. Industrial connectivity: The platform connects to systems including AVEVA PI, AspenTech IP.21, GE Proficy, Honeywell PHD, Yokogawa Exaquantum, AWS IoT SiteWise, Microsoft Azure Data Explorer, Microsoft Fabric, SQL databases, Databricks, Snowflake, and other industrial data environments. Buyers should assess historian and contextual-data compatibility, network architecture, data quality, security boundaries, and the connector requirements for each source.
4. Deployment: TrendMiner is available as a managed SaaS service, an on-premises installation, or a self-hosted deployment in private-cloud infrastructure such as Microsoft Azure or AWS. SaaS is currently described by TrendMiner as its preferred deployment model, while self-hosted options provide greater infrastructure and data-sovereignty control but place more configuration and maintenance responsibility on the customer.

TrendMiner is most relevant to process-manufacturing, energy, and other industrial organizations that already collect substantial historian and operational data and want plant experts to analyze it directly. Its value depends on data accessibility, user adoption, deployment architecture, and whether faster investigations and continuous monitoring translate into measurable improvements in process performance, reliability, quality, or energy use.