idatase GmbH is a high-tech innovation company committed to creating NetLume, a unified platform for the development of cognitive real-time software systems in IoT Ecosystems. Current IoT initiatives are prone to fail because human, data and business expertise is not incorporated into the process for developing and accepting IoT systems. Cisco confirmed 2017 the problem in a survey: 2/3 of IoT initiatives fail and 60% stall at PoC stage. NetLume bridges the gaps across domains and enables rapid prototyping of AI systems to increase PoC success rate and reduce initiation costs by more than 75%.

Opentrends provides the most advanced custom software solutions to place companies in the Digital Transformation path, allowing them to achieve innovation advantage and contribute to their growth acceleration.

More than 18 years delivering innovative projects of high technological complexity in a wide range of industries, while guaranteeing quality and alignment with our client’s objectives. In fact, over a hundred global companies across various industries have full Trust in our unique ability to design, build, implement, and integrate complex software innovations into their organizations.

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Presenso provides an AI Driven Industrial Intelligence solution.

The Presenso solution uses advanced Artificial Intelligence to provide real-time asset failure predictions based on monitoring sensors’ signal data in the cloud.

With its proprietary adaptive algorithms, Presenso can analyze sensor behavior, automatically learn how machines behave and use this learning to predict machine failures before they occur.

Unfortunately still today, 74% of IoT initiatives fail, from which 60% stall at the PoC state (Cisco Survey, 2017). The NetLume innovation platform solves the key problem of the “human factor” for successful IoT initiatives by integrating domain experts and business into the IoT domain. Semantic Digital Twins fuse human readability with machine interpretability. In combination with the NetLume ECA design process for rapid prototyping the platform allows the development of operative MVPs already at the PoC stage. The key difference of the NetLume to other IoT platforms is the focus on the problem and analytics domain instead of data management and computational services. NetLume is therefore able to augment IoT platforms of giants, line GE, Siemens or Google, to enable rapid ECA prototyping of intelligent systems based on the asset and data management or even analytic processing structures of other underlying IoT platforms. The so far unique focus of NetLume is to systematically enter a new realm we call “Internet of Analytics” (IoA) in which AI systems solve use-case specific problems from analytic models, methods and Machine Learning algorithms.

Opentrends' IoT platform SaaS Thingtia simplifies the way businesses collect, analyze, monitor and broadcast information gathered by sensors and Actuators.

Thingtia Cloud avoids vertical solutions and makes data sharing easier while reducing specific technology, product and supplier dependency. A solid proven solution for city infrastructure with full application in other sectors: Agriculture, Farming, Energy, Logistics, Automotive, Smart Home, and Consumer electronics.

Learn more here.

Case studies where Sentilo and Thingtia are deployed:

Dubai Municipality

Kobe Municipal

Barcelona City Council

Terrassa City council

Catalan Water Agency

Presenso is a pioneer in the application of Artificial Intelligence for predictive asset management.

Advanced Deep Learning and Machine Learning algorithms analyze assets sensor behavior and automatically detect abnormalities and patterns within them.

Presenso is an Unsupervised solution that requires no pre-defined rules for alerts or human expert input. Facility technicians are alerted in real time to potential breakdown, thereby giving them advance notice to remediate the problem.
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The Presenso Cloud continuously acquires the Big Data generated by multiple sensors that are already installed in industrial manufacturing lines and machines.
The real-time streamed-in data is run through an ensemble of unique “Machine Learning” and “Deep Learning” algorithms designed to predict and alert on any upcoming failure.

Energy & Utilities, Renewables, OEM’s and Smart City projects i.e. Smart Buildings and Smart Mobility.

Hercules Capital, Sony, Honda, Volkswagen Group, Mitsubishi Electric, Würth Group, Barcelona City Council, and other under Non-disclosure Agreement.

Siemens, ABB