Holistic: The energytech agency of the new economy

HOLISTIC, a company founded in 2016, aims to provide integrated services in the fields of project support and management, digital services and energy management services. The company designs and implements integrated solutions, provides specialized management services as well as designs, develops and monitors the progress of the implementation of innovative IT systems. It has a very dynamic and extrovert course in recent years, taking part in important European research and development programs and actions.

“Holistic consists of experienced professional engineers, internationalists, economists, analysts, researchers and sociologists. Its approach is based on commitment and effectiveness. Transparency, reliability and professionalism are central points in its philosophy, as they are key aspects of building and maintaining strong and long-term relationships with customers. We strive to provide state-of-the-art services that have real and measurable value as well as a positive impact on all stakeholders.

Our knowledge covers various sectors in the field of energy (intelligent energy management) and information technology (artificial intelligence, volume data management, data analysis), as well as in their common intersection, energy information systems. In addition, the company specializes in marketing, information dissemination, and communication strategies, among others.” , told us Georgia Polytanou, Head of Public Relations and Marketing at Holistic.

Holistic’s team members have participated as project managers, experts and/or researchers in many European (Horizon 2020, FP7, Intelligent Energy Europe, etc.) and national projects in the above fields.

In fact, Holistic has been registered in the National Register of startups managed by Elevate Greece. Elevate Greece is an initiative of the greek government aiming to make Greece a global innovation center with a leading role in Southeastern Europe.

“Our systems have the flexibility to collect and process heterogeneous data such as climate data, specific characteristics of a building, energy profile, weather conditions, energy prices and many other factors.Through the use of machine learning algorithms, predictive models are produced (energy production, energy consumption), and in combination with the actual data, appropriate action plans are formulated for intelligent energy management at the building or city level. These data-driven systems can support energy managers and end-users of buildings / installations in energy management, with the ultimate goal of reducing costs and CO2 emissions, taking into account the specific conditions related to each organization”, added Georgia Polytanou.

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