See Factry in action

Relive Factry Connect After Hours in the Wintercircus Ghent

Explore the Factry Historian datasource in Grafana — from setup to query tuning and visualization control.

Jeroen Coussement explores what makes a Unified Namespace usable — and how structured historian data plays a critical role.

Learn how to manage installations in Factry Portal, from user roles to versioning and multi-site governance.

CEO Jeroen Coussement breaks down what it means to be AI-ready in manufacturing — and why it starts with structured industrial data.

Get a deep dive into how Factry Historian collects industrial data — from setup to lifecycle management.

Factry built its Event Module to help teams go beyond timestamps — and unlock contextual insights hidden in production data.

Why did Factry separate its Event Module from the core historian? Because event analysis deserves its own dedicated space.

See how the Factry Event Module detects, logs, and contextualizes key production events for better insights.

Learn which industries can benefit from Factry’s Event Module — and why process-driven factories gain the most. Tags:

Factry’s Event Module solves the complexity of custom event logic — letting teams detect and structure key moments without coding.

Learn why Factry built the Event Module — and how it closes the loop between production activity and data visibility.

Use your existing BI tools with Factry’s Event Module. Data is structured and open — so you can plug it into any workflow.

Watch how manufacturers use historian data to save energy — with a structured, real-time approach to detecting inefficiencies.

What does efficiency really mean in manufacturing today? Jeroen Coussement breaks it down in the first episode of Factry Industry Insights.

Add structured measurements in Factry Historian to create context-rich, query-ready signals for analysis and visualization.

Learn how to set up Factry Historian for your environment — from source configuration to metadata and signal mapping.

Understand the lifecycle of measurements in Factry Historian — from configuration to versioning and safe updates.

Self-hosted or managed IoT? Jeroen Coussement lays out the tradeoffs — and why control over your data matters more than ever.

Create structured, reusable calculations in Factry Historian to turn raw signals into contextualized industrial KPIs.

Dive into the technical architecture of Factry Historian — from collectors and processors to storage and visualization layers.

Integrate external time-series databases with Factry Historian and unify legacy and modern data into one analytics environment.

Get a guided tour of the Factry Portal — the central hub for managing industrial data, users, and historian installations.

Centralize and manage your alert rules and notifications across teams using the Factry Portal.

Learn how to recalculate metrics in Factry Historian to reflect improved logic or updated operational understanding.

Manage user access in Factry Portal with role-based controls, installation-level permissions, and audit-ready governance.

Explore how raw calculations in Factry Historian enable precise, real-time metrics across industrial use cases.

See how to download structured data from Factry Portal for analysis, reporting, or record-keeping.

Learn how to use sampled calculations in Factry Historian to generate shift-level KPIs and structured insights.

Learn how to use scripting in Factry Historian to create custom calculations and real-time industrial metrics.

IT/OT Insider’s David Ariens explains why contextualized data is the foundation of smart manufacturing — and how Factry is delivering it.

Willem van Lammeren discusses the shift away from rigid industrial tools toward open, flexible platforms like Factry Historian.

Factry CEO Jeroen Coussement explains how Factry Historian bridges the gap between control systems and modern, insight-driven operations in manufacturing.

Discover how modern industrial data historians like Factry Historian enable accessible, structured data use across your entire plant — beyond engineering teams.

Understand the full lifecycle of calculations in Factry Historian — including safe updates, version control, and stability.

Learn how to add and configure collectors in Factry Historian to bring new data sources into your platform quickly.

Apply scalable, structured logic in Factry Historian with context-aware calculations tied to assets, batches, or lines.

Track every change and action in Factry Historian using audit logs — ideal for compliance, debugging, and governance.

Set up Grafana alert notifications for Factry Historian data — including channels, routing, and best practices.

Learn how to create meaningful time-series graphs in Grafana using data from Factry Historian.

Learn how to use Grafana’s stat and gauge visualizations with Factry Historian to build focused, high-impact dashboards.

Learn how to structure, organize, and govern Grafana dashboards in environments powered by Factry Historian.

Build better Grafana dashboards for operators and engineers using Factry Historian — with a focus on clarity and usability.

Use Grafana tables with Factry Historian to create structured, audit-friendly views of industrial data.

Set up real-time alerts in Grafana using Factry Historian data to detect deviations and act fast.

Use shared queries in Grafana with Factry Historian to standardize logic across dashboards and reduce duplication.

Build dynamic dashboards in Grafana with Factry Historian using the “Repeat by Variable” feature — ideal for factories with many similar assets or machines.

Explore FactryOS, the lightweight MES built for batch production, digital workflows, and operator-driven insights.

Explore how Factry Historian transforms raw industrial data into insights, with built-in support for contextualization, visualization, and AI.

Discover how open historian tools help wind operators improve efficiency and stay in control of their data.

See how Ekopak uses Factry Historian to power flexible dashboards and centralized data visibility across its water treatment plants.

How Helioscreen upgraded from a limited ERP system to a fully digitized, insight-driven production environment with Factry Historian — enabling smarter decisions, real-time visibility, and operational resilience.

Add and edit production events manually in Factry Historian for improved data accuracy and flexibility. Perfect for fine-tuning or supplementing automatically detected events.

Query live data from Factry Historian directly inside Excel using the new Excel add-in. No CSV exports. Just real-time production insights where you need them most.

The Factry Client Portal empowers teams to monitor, configure, and manage their Historian installations—offering full visibility, alerting, user access, and version control in one sleek interface.

Version 6.2 of Factry Historian brings smarter, more flexible calculations with context access, tag handling, and better previews.

Connect Factry Historian to external databases to enrich your dashboards and make industrial data more contextual.

Factry Historian v6.2 introduces task control via worker pools and labeling for better filtering of calculations and measurements.

Speed up onboarding of new data with Factry Historian’s automatic measurement discovery feature in v6.3.

Speed up onboarding of new data with Factry Historian’s automatic measurement discovery feature in v6.3.

Configure once, reuse everywhere: Asset Prototyping in Factry Historian 7.0 makes scaling to new lines or machines seamless.

Factry Historian 6.3 improves manual data entry — making operator input traceable, contextualized, and audit-friendly.

Factry Historian 6.4 adds bulk alert configuration — enabling scalable, consistent alerting across factories or lines.

Factry Historian 7.1 adds steam calculation Prototypes — making thermal energy metrics easy to configure and reuse.

Explore the upgraded Grafana plugin in Factry Historian 7.0 — built for faster dashboards and smarter filtering.

Factry Historian v7.0 introduces customizable metadata — making dashboards, queries, and context smarter and more scalable.