Leveraging Today's Technology,

for Tomorrow's Opportunities.






Waste Energy was formed to disrupt the waste-to-energy industry using cutting edge technology; AI and Waste Conversion Technology to build a greener and  cleaner future.  WE invite investors, partners, and stakeholders to join us in our mission to do our part in creating a cleaner world with a sustainable future.






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Our Expertise


Waste Energy Corp is focused on converting plastic and tire waste into clean energy assets, tackling the global plastic crisis while delivering a renewable fuel solution made in the USA. Our proprietary waste conversion technology, enhanced by AI and advanced catalytic processes, transforms non-recyclable plastics into high-quality fuel. By diverting waste from landfills and oceans, we reduce environmental harm, cut reliance on fossil fuels, and advance the circular economy. Waste Energy Corp is committed to leading the charge toward a cleaner, greener future where sustainability and profitability go hand in hand





Waste Conversion Technology


Waste Energy Corp. leverages cutting edge waste conversion technology to convert environmentally harmful waste streams such as plastic waste and end of life tires into valuable clean fuel. This process removes waste that would otherwise be burned or thrown into a landfill or even worse the ocean. Our process also creates a US based energy source thereby reducing reliance on bad actors or countries that hate America. Our refined diesel fuel meets industry standards for cleaner energy, making it suitable for industrial equipment, power generation, and transportation applications.


A 3d model of a factory with a blue engine.

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Artificial Intelligence.


AI enhances waste-to-energy conversion technology by optimizing processes, improving efficiency, and enhancing resource recovery. Through advanced data analytics, AI enables real-time monitoring and control, maximizing energy output and minimizing waste. AI-driven predictive maintenance ensures system reliability, while machine learning algorithms optimize resource allocation for sustainable operations.