Falcon — AI Co-Pilot for
High-Yield Energy Conversion.
Built an AI-powered decision co-pilot that ingests complex waste, process, and yield data to help operators optimise feedstock mix, improve plant efficiency, and maximise energy output.
Optimizing Complexity.
Turning mixed waste into high-quality fuel is a massive optimization problem involving stochastic inputs and strict regulatory limits. Small variations can impact compliance and economics.
Feedstock varies wildly by region, source, and season, making consistency a constant battle.
Fuel must hit exact targets for BTU, moisture, ash, and chlorine to replace coal.
Crucial know-how was trapped in spreadsheets, lab reports, and expert intuition.
Manually stitching data and calculating “what-ifs” took too long to be agile.
Hybrid AI Architecture.
We designed Falcon to answer two core questions: “What fuel will we get?” and “What should we change?” using a modular, intelligent pipeline.
Cleans and structures waste composition, source data, and plant configurations.
Specialised numerical models estimate how process stages affect fuel properties.
Reasoning layer searches operating bounds to propose changes for target specs.
Engineering-friendly UI for “what-if” scenarios and real-time visualization.
Key Capabilities.
Falcon acts as a digital co-pilot, making trade-offs visible and helping teams converge on optimal configurations faster.
Tech Stack.
A modular design allowing Ecogensus to swap in more advanced models as new data becomes available.
Business Impact.
Replaces scattered spreadsheets with a unified, robust analysis platform.
Explores multiple scenarios in minutes instead of manually rebuilding models.
Captures and reuses process knowledge so it doesn’t live only in experts’ heads.
Want Similar Results?
We start every engagement with a 30-minute strategic conversation to assess your readiness and identify the highest-impact opportunities.
