We deploy sophisticated computational fluid dynamics, thermal modeling, and Bayesian optimization to replace guesswork with mathematical certainty in renewable energy asset placement. Our platform solves the high-dimensional optimization challenge that maximizes Annual Energy Production while minimizing financial risk.
Three critical challenges that smart optimization can solve, unlocking millions in hidden value
Renewable energy developers rely on simplified models and heuristics for site layout, leaving up to 10% of a project's potential lifetime energy production unrealizedβa hidden opportunity worth millions.
Without precise quantification of physical risks (inter-turbine wake effects, terrain-induced turbulence, thermal dynamics) during pre-construction, financial models carry higher uncertainty, impacting project bankability and increasing capital costs.
Optimal placement of energy assets represents a high-dimensional, non-convex optimization challenge that traditional methods cannot efficiently solve. This complexity gap forces developers to accept "good enough" solutions instead of achieving mathematical optimality.
Three aligned missions driving mathematical certainty in energy asset optimization
To deploy a sophisticated synthesis of computational fluid dynamics, thermal modeling, and Bayesian Optimization to replace guesswork with mathematical certainty in the renewable energy development lifecycle.
To empower renewable energy developers and investors with a decisive analytical advantage, enabling them to maximize Annual Energy Production (AEP), minimize financial risk, and ensure the bankability of every project from the earliest stage.
To accelerate the world's transition to sustainable energy by fundamentally improving the efficiency and profitability of its foundational assets, one optimized project at a time.
Energy Production Lost
to Sub-Optimization
Risk Prediction
Accuracy
Potential Savings
Per Project
Asset Lifecycle
Optimization
Advancing the state-of-the-art in computational optimization for renewable energy systems
Investigating neural networks and Gaussian Processes to create fast, accurate surrogate models that predict computationally expensive CFD simulations, drastically reducing optimization time.
Expanding beyond energy yield maximization to solve multi-objective problems, simultaneously optimizing AEP, Levelized Cost of Energy (LCOE), grid connection costs, and component longevity.
Implementing advanced Bayesian methods for full probabilistic understanding of site energy production, providing developers clear financial risk pictures (P50, P90, etc.).
Exploring methods to incorporate post-construction SCADA and satellite data to continuously validate and refine pre-construction models, creating self-improving feedback loops.
Advanced physics modeling for optimal renewable energy asset placement and performance prediction
Our proprietary CFD models simulate complex wind patterns, wake effects, and terrain interactions to solve the high-dimensional optimization problem of turbine placement, maximizing energy yield while minimizing wake losses.
Mathematical certainty in renewable energy development from site assessment to financial modeling
Bayesian optimization algorithms solve the high-dimensional placement problem, maximizing Annual Energy Production while accounting for wake effects, terrain interactions, and physical constraints. Eliminates the 10% energy loss from sub-optimal layouts.
Advanced modeling of inter-turbine wake effects, terrain-induced turbulence, and panel overheating risks. Provides quantitative risk metrics for financial models, reducing uncertainty and improving project bankability.
ML-based surrogate models replace computationally expensive CFD simulations, enabling real-time optimization of complex wind farm layouts. Makes mathematical optimization practical for development timelines.
Stop accepting simplified heuristics. Our platform solves the full optimization problem that maximizes your project's lifetime value while ensuring bankability from day one.
Transform your renewable energy projects from "good enough" to mathematically optimal. Every day of delay is millions in unrealized potential β your competitors are already gaining the optimization advantage.
Ready to start your project? We'd love to hear from you
4539 N 22ND ST, STE N
Phoenix, AZ 85016