Seeq Recognized as a Leader in the 2025 Green Quadrant for Industrial AI Analytics
Seeq continues to set the standard in industrial AI and analytics, earning recognition as a leader in the inaugural Verdantix “Green Quadrant for Industrial AI Analytics 2025.” This acknowledgment highlights Seeq’s innovation, market leadership, and the standout capabilities that set it apart in the competitive Industrial AI Analytics landscape.
The Green Quadrant for Industrial AI Analytics highlighted the following strengths for Seeq:
Data processing & transformation
Data contextualization within Seeq empowers SMEs to transform raw signals into operational context using point‑and‑click logic. Customers use Seeq to search, cleanse, contextualize, and model time‑series data to accelerate decision making, cutting manual effort and moving from periodic spreadsheets to live analyses.
Within the report, Henry Kirkman, Industry Analyst at Verdantix, stated:
“Seeq provides data-first analytics that flow naturally into predictive maintenance and process gains. Seeq excels at turning messy operational technology (OT) and IT data into usable context without copying it. It garnered the top score of 3.0/3.0 for indirect data acquisition in this Green Quadrant. Over 50 high-performance connectors query systems of record in place, avoiding migration projects and speeding time to value. Asset trees and the AI-assisted Asset Builder normalize tags into scalable hierarchies, while users can combine event-like data derived from operational data with other transactional data, for better contextualization about the operating environment.”
Model development
Subject matter experts, including process engineers and data scientists, can develop and train models directly in Seeq Workbench, alongside their daily and familiar process analytics and decision-making workflows. Seeq users can prepare and contextualize data, select features, and define training windows with a collection of machine learning tools.
Seeq Data Lab enables advanced users to leverage the Seeq Python library (SPy), along with the extensive open-source Python ecosystem, to develop custom scripts and Add-ons.
The extensibility of the Seeq platform also promotes seamless integration across the data science ecosystem to leverage cleansed, context-rich time-series data from frontline experts working in Seeq to an external ML platform of choice. Seeq encourages enterprise teams to build and train models on their preferred platforms, supporting robust data engineering by enabling easy movement of SME-curated data for inference and storing results in connected data stores for combined first-principle and ML analysis.
User interfaces
Seeq’s user interface enables both technical and non-technical users to prep, analyze, and visualize production-informed insights with point-and-click and natural-language capabilities via the Seeq AI Assistant. The responsive, browser-based design streamlines navigation and accelerates task completion, which is reflected in adoption by over 75,000 regular users. The natural language interface and copilot capabilities of the integrated Seeq AI Assistant further enhance productivity by automating repetitive tasks and providing instant, contextual insights to users enterprise wide.
The user interface supports a wide array of languages, including English, German, French, Japanese, Spanish, Portuguese, Korean, Italian, and Mandarin, enabling Seeq to provide value to customers around the globe.
Process production & optimization
Process manufacturing and production optimization analytics in Seeq span a wide range of timeframes and involve a diverse set of users collaborating across the enterprise.
Seeq delivers real-time insights into process, equipment, and workforce performance while also supporting long-term optimization and strategic planning across operations, emissions, maintenance, and capital investments. As customers mature in their industrial AI and analytics adoption, organizations are uniting these efforts to make real-time decisions that not only enhance efficiency today but also drive sustained profitability over time.
For example, at one pharmaceutical company, frontline workers now have real-time enterprise visibility into utilization and production. Originally developed to provide a more holistic and accurate view of line performance across sites, these dashboards in Seeq now also guide real-time operational decisions—a practice some have referred to as “real-time OEE.”
Customers
Seeq’s vision – Accelerating a modern, sustainable industrial future – is directly tied to our customers’ outcomes. We know that our customers align value from their tech investments based on the impacts on revenue, quality, sustainability, and margin that are achieved quickly, are impactful, but more importantly are sustainable and agile. Seeq will continue helping customers realize value and address the changing Industrial AI Analytics landscape by enabling the industrial workforce to do more, faster with AI, driving enterprise insights at scale, and enabling business agility through open agents, platforms, and ecosystems.
Verdantix Green Quadrant for Industrial AI Analytics
Verdantix, an independent research and advisory firm, evaluated nineteen key vendors within the rapidly evolving Industrial AI Analytics market. The Green Quadrant helps corporate decision makers, including heads of operations, maintenance, engineering and IT, better understand the landscape of industrial AI analytics providers.
The analysis utilizes Verdantix’s proprietary methodology, which includes live briefings and product demonstrations, a detailed questionnaire, insights from interviews with vendor customers, and secondary research.
The detailed questionnaire covered 14 categories of technical capabilities and seven categories of market momentum.
Download the Green Quadrant for Industrial AI Analytics to discover:
- The latest market trends and challenges shaping industrial AI and analytics
- How key vendors rank and differentiate themselves
- Why Seeq was named a Leader for both capabilities and momentum