Optimize your Industry strategy and drive better business outcomes with a Modular Data Intelligence Platform, designed to deliver real-time production data insights.
Trusted by thousands of security teams across the globe
Intelligence—human or artificial—relies on trustworthy, high-quality data. Simply collecting raw signals is insufficient
Transforms raw data into meaningful information.
Converts that information into actionable knowledge.
Making emerges when knowledge is applied effectively.
Each step is designed to ensure data is not only accurately captured but also contextualized and stored in a format that supports advanced analytics and decision-making processes.
Our solution introduces logical-mathematical models for acquiring and contextualizing data in production environments, without binding those data pipelines to any particular manufacturing system (e.g., MES, ERP). By maintaining an independent layer for data acquisition, companies gain the ability to be independent.
Collect and store context-rich data once, then reuse it with different manufacturing or analytics tools.
Collect and store context-rich data once, then reuse it with different manufacturing or analytics tools.
Collect and store context-rich data once, then reuse it with different manufacturing or analytics tools.
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Modern production lines are highly dynamic, demanding an architecture that remains both flexible and scalable.
Our solution employs a modular architecture that integrates multiple layers for data pipelines, orchestration, processing, and storage, effectively bridging Operational Technology (OT) and Information Technology (IT) environments.
This infrastructure leverages open-source technologies—such as MQTT, Kafka, Redis, and PostgreSQL—ensuring robust performance, high data throughput, and the agility needed to adapt to ever-evolving production processes.
Components can be added, replaced, or updated with minimal dependence on specialized engineering expertise.
Begin with a straightforward pipeline setup, then incorporate additional intelligence or automation layers as your operational needs expand.
Tools like MQTT and Kafka handle real-time data streaming at scale, while Redis and PostgreSQL offer versatile, reliable data storage options.
Considering to try
AI Square, don’t get ready.
A core principle of the AI Square is maintaining your full autonomy between data, information and intelligence layers. Rather than tethering the data pipeline to a single MES, ERP, or BI tool, our platform.
Stores data in system-agnostic formats, ensuring you can pivot to new tools or technologies without overhauling your entire infrastructure.
Simplifies long-term data governance, as valuable datasets remain accessible and consistently structured.
Logical-Mathematical Data Models
Enable consistent, standardized data capture and contextualization.
Facilitate seamless reuse across multiple operational tools.
Cross-Industry Applicability
Compatible with various manufacturing, logistics, and energy sectors—anywhere data-driven insights are crucial.
Modular, Scalable Architecture
Deploy incrementally, expanding capabilities in step with your organization’s growth.
Minimize technical overhead by reducing reliance on specialized expertise.
Agnostic Knowledge Sharing
Create universal data libraries that can feed advanced AI solutions.
Foster an environment where both human and artificial intelligence benefit from high-quality information.
By focusing on decoupled data collection and modular scalability,
our platform is built to empower companies of all sizes to efficiently
capture, contextualize, and leverage production data.
Whether you are looking to implement basic reporting or evolve into sophisticated data-driven strategies, this flexible approach significantly reduces barriers to sustainable, forward-thinking digitalization.
