Waste-to-AI
Turning waste into AI capacity — directly on-site, fully off-grid.
TEXELs unique patented technology converts flare gas and methane emissions into reliable electricity — enabling AI compute exactly where energy already exists.
- No gas treatment
- No grid dependency
- No water usage
- No noise pollution
- No turbines or engines
Commercial systems operating in Europe — 24/7, fully off-grid.
150 Years of Wasted Energy
For more than a century, flare gas and methane emissions have been burned — not because the energy wasn’t there, but because it was too small, too remote, too inconsistent, or too costly to utilize with conventional technologies.
That changes with TEXEL.
In the United States alone, flaring occurs at more than ~10,000 sites, representing approximately ~12 GW of wasted energy — an average of ~1.2 MW per site.
Globally, flaring wastes energy equivalent to the output of roughly 140 nuclear reactors.
TEXEL converts this wasted heat into distributed AI capacity — directly on-site, completely off-grid.
TEXEL — The Backup System for the Power Grid
Turning landfill gas into 24/7 off-grid AI power.
Unlike conventional datacenters that depend on the electrical grid, TEXEL systems operate fully off-grid, powered by the energy already stored in the landfill.
Methane gas captured from closed landfills can provide decades of continuous energy supply.
Because the system runs behind the meter, grid outages become irrelevant.
In simple terms
The TEXEL system is the backup.
AI INFRASTRUCTURE DEMAND IS DRIVEN
BY COMPANIES SUCH AS:
NVIDIA – Microsoft – OpenAI – Google
– Amazon – Meta – Oracle – xAI…
AI INFRASTRUCTURE
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ENERGY TRANSITION
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WASTE ENERGY RECOVERY
The next generation of AI infrastructure will not be constrained by the grid
Instead of expanding centralized, grid-dependent data centers, AI capacity will move to where energy already exists — distributed, off-grid, and scalable.
TEXEL enables this shift.
TEXEL enables distributed AI infrastructure across thousands of energy sites:
• Flare gas
• Landfill methane
• Industrial waste heat
• Agricultural gas
Built for small-scale energy sources (1–10 MW), where traditional solutions fail.
Distributed by design.
Resilient by architecture.
Independent from the grid.
Built on World-Class Energy Technology
TEXEL’s platform is built on patented Stirling technology, strategic acquisitions, and collaborations with leading industrial and research institutions.
Through these acquisitions and exclusive licenses, TEXEL controls technology and assets with an accumulated development value exceeding USD 2 billion, creating a unique foundation for scalable off-grid AI energy infrastructure.
Industrial-Scale Production Capacity
TEXEL is scaling toward gigawatt-level production, building on its existing industrial base in Sweden, with an annual capacity of approximately 10,000 modular units — equivalent to roughly 200 MW of deployable power capacity.
The company is now establishing U.S.-based production to support gigawatt-scale deployment of grid-independent energy systems for AI data centers and industrial applications, followed by expansion into Europe.
To meet accelerating electricity demand — particularly from AI data centers and other high-density infrastructure — scalable industrial production is essential.
TEXEL’s systems are manufactured using established large-scale industrial production processes. The current production platform supports approximately 200 MW of annual system capacity, enabling modular deployment of grid-independent energy infrastructure.
The manufacturing model is designed for standardized, repeatable assembly, allowing TEXEL systems to be deployed efficiently across multiple sites and expanded into multi-megawatt clusters.
The next phase focuses on establishing production capacity in the United States to support domestic AI infrastructure deployment and industrial growth.
This industrial approach positions TEXEL not only as a technology provider, but as a scalable energy infrastructure manufacturer capable of supporting large-scale AI data center expansion
