Intelligent Energy. Engineered.

Flowchart illustrating a process from literature data and model training to results with four stages: Literature Data, Model Training, Optimization Engine, and Results.

Arcana Bio-Coal

RevaTerra delivers AI-powered renewable carbon fuels that replace coal in power and industrial energy systems. Our proprietary platform optimizes biomass chemistry, feedstock sourcing, and process control to create a high-energy, carbon-neutral fuel. While the format uses bio-coal, the true product is our AI-powered system that transforms waste streams into value streams and enables scalable decarbonization.

At the heart of RevaTerra is our AI-Chemistry Platform, a system that designs patentable chemical “boosters” to upgrade biomass into RevaTerra’s Arcana Bio-Coal, a coal-like fuel that performs without costly processing.

AI-Optimized Performance: Machine learning models trained on hundreds of validated tests and peer-reviewed studies ensure predictable, superior results.

Regional Customization: Tailored to local feedstocks, moisture levels, and utility specifications, our bio-coal cuts transportation costs and increases efficiency.

Compatibility at Scale: Enables 30–50% coal co-firing with minimal plant upgrades, positioning utilities for rapid decarbonization.

This is not just renewable energy. It’s data-driven fuel design that makes the transition from coal practical, immediate, and scalable.

For centuries, arcana has meant the hidden knowledge of transformation - the secrets of alchemy, the forces that turn the ordinary into the extraordinary.

RevaTerra’s Arcana Bio-Coal embodies that same idea. At its core, it takes what is overlooked - forestry and agricultural waste and, through AI-designed chemistry, activates its hidden power. What was once discarded becomes a high-performance fuel, transforming existing coal infrastructure into carbon-neutral energy.

“By integrating machine learning with advanced thermochemical processes, we’ve created a system that adapts to variable feedstocks in real time, turning an unpredictable input into a predictable energy output.”
— Joseph Napier, Ph.D., CTO & Co-Founder, RevaTerra
Chemical boosters.
A lumber yard with stacks of cut logs in the foreground and industrial equipment, including conveyors and buildings, in the background.
Industrial lumber mill with conveyor belts and stacks of logs, surrounded by green trees and mountains in the background.
Stacks of cut tree logs with exposed roots and a large metal building in the background.
A landscape of a recently cleared or disturbed hillside with scattered logs and debris, under a cloudy sky.