Grid Dynamics recently announced the launch of IoT Control Tower, an advanced analytics solution designed to help manufacturers and equipment providers with continuously analysing IoT data streams from production facilities and field deployments and generate guidance for analysts and operators.
The solution aims to reduce labour costs associated with manufacturing analytics, minimise issue response times, and improve process efficiency using artificial intelligence (AI) and machine learning (ML) technologies.
The IoT Control Tower continuously analyses metrics from various sources, such as machine sensors, quality check stations, and surveillance cameras, using a set of pluggable ML models and LLM agents. Agentic AI assistants access corporate knowledge bases, including operational playbooks and historical incident reports, to interpret observed metrics, research issues and optimisation opportunities, and provide guidance to manufacturing analysts, site managers, and equipment operators.
“Our experience with manufacturing clients shows that industrial data analytics and operationalisation are major pain points across the industry. Companies often build sophisticated custom solutions for supplier compliance analytics, process efficiency optimization, and many other use cases,” said Ilya Katsov, CTO, Americas, Grid Dynamics. “The IoT Control Tower provides a standardised approach to solving these challenges, offering reference implementations for the most common use cases. Furthermore, we have integrated this platform with a range of specialised smart manufacturing components we developed, including visual process monitoring, visual quality control, anomaly detection, and root cause analysis, to deliver a comprehensive solution.”
The IoT Control Tower unifies the company’s portfolio of smart manufacturing accelerators.
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