AI for the Energy Transition
The industrial sector isn’t prepared for the energy transition. It’s stuck balancing carbon avoidance today with innovation for a carbon-free tomorrow.
Striking this balance takes time. Too much time.
Geminus enables industrial companies to improve operational efficiency and bring new technologies online at never-before-seen speed or scale.
The Failure of Traditional AI
Climate change is forcing the biggest engineering transition since the industrial revolution. We have less than 30 years to dramatically reduce industrial carbon emissions. AI has been touted as the premier solution but takes months or years to develop. It’s data-intensive, inefficient, and yields inaccurate results.
We don’t have time to waste on sub-optimal solutions.
Geminus is built on math, science, and impatience. Our solution delivers valuable predictive insights in weeks, rather than years. And we do it with a fraction of the data.
Challenging the AI Status Quo
AI is only as good as the data it’s trained on. But good data takes time to collect and clean, and sometimes isn’t available at all. Instead of relying on deterministic neural nets (which require massive amounts of data), Geminus turns to the latest breakthroughs in computational science. Our probabilistic approach fuses multiple information sources to create more capable models using less data and time. Enabling the optimization and decarbonization of existing infrastructure, while scaling tomorrow’s net-zero solutions.
What normally takes months or years with traditional AI, Geminus can tackle in just hours.
Fusing physics and data delivers fully explainable AI
Models in hours, rather than months
Accurate predictions with less than 1% of the data
Confidence bounds with every decision
Self-service model creation and deployment
Models that adapt as systems change