Our solutions for

smart industries

Capture’s Unified Namespace (UNS) structures and centralizes the massive amounts of industrial data, ensuring all systems can publish and subscribe to real-time information without complex point-to-point integrations.

Create powerful data insights in manufacturing with real-time dashboards and standardized pipelines. Easily visualize and analyze streaming and historical data to detect patterns, reduce costs, and drive smarter, faster decisions across your operations—all without deep technical expertise.

By collecting, structuring, and analyzing real-time data, manufacturers gain deep visibility into asset performance, energy usage, and process efficiency. AI-driven models reduce downtime by detecting anomalies, optimizing asset utilization and reducing operational costs. 

Capture simplifies machine and shopfloor connectivity with one platform to onboard, monitor, and manage devices. Stream real-time data in minutes and scale effortlessly - empowering organizations to drive efficient, data-driven manufacturing from pilot to full production.

Capture centralizes production and energy data, helping industrial organizations meet sustainability goals. Its application - Pulse - combines real-time insights with AI-driven forecasting to bridge energy procurement and operations, enabling smarter, more sustainable energy management at scale.

AI and machine learning models running within an IT/OT/IIoT infrastructure can identify production inefficiencies, detect defects, and optimize manufacturing parameters. This enhances product quality, minimizes waste, and enables continuous improvement in manufacturing processes.

Capture’s data curation tool streamlines computer vision adoption in industry - supporting annotation, labeling, and object tracking for AI model training and inspection. It accelerates development and deployment of advanced, vision-driven applications across industrial environments.

For processes requiring immediate responses, such as robotic automation, quality inspection, or machine vision, edge computing ensures real-time analytics and decision-making without relying on cloud connectivity. This reduces latency and enhances operational reliability.