About HauHet plc.

HauHet plc. Created in 2023 by Dimitrios N. Giannopoulos, we are a team with passion for what we do with great professionalism, we belong to the field of Web Applications & Energy Transition AI.

Our team includes some of the most experienced engineers in Python – Ruby – PHP, including core contributors, release leads, and AI creators. Our team also has experienced Mechanical Engineers, Electrical Engineers and Physicists.

We work in distributed squads across time zones, cultures, and contexts, united by a shared commitment to open source and high-quality delivery.

We cooperate with over 5 companies in Europe (Greece, Poland, Germany, Estonia, France).

Become energy cost-efficient

Energy management strategy

What’s your energy cost saving potential?

Research shows that energy consumption represents one of the three main expenses for many (production) companies. Nevertheless, company leaders lack time to dive deeply in energy management and so, large cost saving potential often stays under the radar. Backed by objective forecasting models, HauHet plc. uncovers how you can reduce energy costs with a guaranteed financial impact in the long term.

Start with an Energy Health Check

During our Energy Health Check, we zoom in on your current situation by mapping the potential cost savings for your main cost drivers: processes, contract framework and energy sources.

Day-to-day energy management

If the Energy Health Check shows adequate potential to save on energy costs, we develop and proactively monitor a cost-efficient energy management strategy.

AI is rapidly transforming the energy transition by optimizing renewable energy production, enhancing grid management, and facilitating the integration of clean power sources into modern energy systems.

Energy Transition AI refers to artificial intelligence technologies and applications that accelerate the shift from fossil fuels to cleaner, renewable energy systems. AI supports this transition by analyzing large datasets, predicting consumption patterns, and optimizing how power is produced, distributed, and consumed. The goal is to create a more efficient, resilient, and sustainable energy infrastructure.

Key Applications

• Smart Grids: AI helps manage smart grids by predicting demand, detecting issues, and optimizing the flow of electricity in real time, which improves reliability and minimizes outages.

• Renewable Energy Forecasting: Through predictive models, AI increases the accuracy of solar and wind power forecasts, facilitating better integration of renewables.

• Energy Storage & Load Shifting: AI enables energy storage systems to be more efficient and supports strategies like load shifting, where energy use is matched to periods of abundant renewable supply.

• Demand-Side Management: By analyzing usage data, AI helps shift electricity demand to off-peak periods, reducing costs and strain on the grid.

• Predictive Maintenance: AI algorithms detect early signs of equipment failure, enabling proactive repairs and minimizing downtime for critical infrastructure.

• Carbon Reduction: AI-driven efficiency measures are estimated to help reduce global greenhouse gas emissions by 5-10% by 2030.

AI for all humanity.

Imagine a future built by all and for all

What if AI was built with people’s needs at its core? Imagine a future where communities from Lagos to Lima shape technology to solve local challenges. Public interest AI ensures fairness, opportunity, and security, creating a world where innovation serves everyone.