JOULIOS
Energy decision engine.
Energy development, simplified.
Optimize optimal parameters for any situation.
Transform your renewable energy project process.
Increase your overall IRR by 1-3%.
What We Do
Energy projects fail early and expensively.
42%
of projects withdraw before construction
22-48
months process
80%
failure rate
$160B
opportunity cost
$16B
annual loss
Interface Walkthrough
Rely on Intelligence, not guesswork.
One Unified Learning Intelligence for Optimizing Sustainability in Energy
1. Unified Model
+ Encapsulates grid systems, interconnection constraints, infrastructure, land use, policy, and local economic factors within a single integrated framework. + Feedback loop for continuous iteration and improvement on the model, making it faster and smarter with every interaction
2. SIM Engine
+ Implements a simulator modelica based physics engine - a Machine Learning model that makes AI base decisions on an internal world system. + Inhibits artificial guesswork by presenting the LLM with a list of required inputs generated programmatically, ultimately forcing AI to account for reality
3. Multi-Agentic Based
+ Run numerous simulations simultaneously, gathering, processing and displaying different forms of data with multiple iterations, providing merged personalized and accurate results in a singular, cohesive format. + Create custom analytical tools and workflows on top of the core model without rebuilding software.
4. Local & Decentralized
+ Run every simulation locally, ensuring that sensitive information and data remains confidential. + All simulations and data remain under the control of the user or organization, with no outsourcing.
