Overview

The Seeq Industrial Analytics & AI Suite is a cutting-edge platform designed to streamline the analysis of time series data in manufacturing environments. It facilitates rapid deployment, enabling users to connect, cleanse, and report on data efficiently. By centralizing data from various sources—be it cloud-based, on-premise, or hybrid systems—Seeq empowers organizations to quickly identify trends, derive actionable insights, and make informed decisions. Its intuitive interface and robust features support all phases of manufacturing analytics, making complex data analysis accessible to engineers, data scientists, and business leaders alike.

Features and Capabilities

• Rapid Deployment: Quick installation process, allowing users to start analyzing data within minutes.
• Comprehensive Data Integration: Seamlessly connects to a wide array of data sources, including process historians, DCS, SCADA systems, SQL-based applications, ERP, EAM, and MES systems.
• Advanced Time Series Analysis: Specialized tools for analyzing large volumes of time series data, enabling trend detection, anomaly identification, and predictive analytics.
• Powerful Data Visualization: Offers dynamic visualization options such as charts, graphs, and heat maps to help interpret complex data patterns effectively.
• Collaborative Analytics Environment: Facilitates real-time collaboration among teams, allowing users to share analyses, dashboards, and insights seamlessly.
• Machine Learning and AI Integration: Incorporates advanced machine learning algorithms to support predictive maintenance, process optimization, and other data-driven applications.
• Batch and Event Analysis: Provides specialized tools for analyzing batch processes and specific events, crucial for industries with cyclical production patterns.
• Generative AI Assistant: Features an AI assistant that offers real-time support, helping users to accelerate their mastery of the platform and enhance decision-making processes.
• Extensibility and Customization: Supports the integration of custom algorithms and visualizations, allowing organizations to tailor the platform to their specific needs.
• Scalable Enterprise Monitoring: Enables system-wide operational efficiency by capturing context, gleaning insights, and facilitating investigations to improve sustainability and profitability.