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Our Solutions
Production-grade optimization solutions backed by proven mathematical rigor
ULTIMA-GRID
GPU-accelerated power grid optimization platform powered by AMPDE meta-optimizer. Verified 54.86% cost reduction vs PLEXOS on IEEE benchmarks ($1,717,970 vs $3,805,791).
- ✓54.86% Cost Reduction: $1.72M vs PLEXOS $3.81M on RTS-GMLC (November 20, 2025)
- ✓100% Feasibility: California grid validation (610 generators, 48h, 0 violations)
- ✓GPU Acceleration: 30-minute solve time for 600+ generator grids
- ✓Regulatory Compliant: Deterministic, auditable, mathematically rigorous (not black-box AI)
- ✓60-Day Free Pilot: Prove value on your data before commitment
SaaS Pricing (CAD)
Why ULTIMA-GRID Outperforms
AMPDE Meta-Optimizer
- •8-module adaptive system
- •Homotopy + Prior Library + Multi-Fidelity
- •Transfer learning from benchmarks
Verified Performance
- •IEEE RTS-GMLC validated
- •California pglib-uc tested
- •0 constraint violations
Regulatory Ready
- •FERC compliance built-in
- •Auditable proof files
- •Transparent algorithms
Why Utilities Choose ULTIMA-GRID
Proven cost savings, environmental impact, and regulatory compliance—backed by verified benchmarks
Massive Cost Savings
- ✓54.86% cost reduction vs PLEXOS on IEEE RTS-GMLC benchmark
- ✓$40M+ annual savings for medium utilities (verified via AMPDE meta-optimizer)
- ✓$80-$200/year lower electricity bills for residential customers
- ✓No upfront costs - SaaS model vs $50K+ PLEXOS license
Environmental Impact
- ✓10K+ tonnes CO₂/year reduction per medium utility
- ✓More efficient dispatch = lower-emission generators prioritized
- ✓Higher renewable integration without curtailment losses
- ✓Equivalent to removing 21K+ cars from roads annually
Regulatory Confidence
- ✓100% FERC compliant - deterministic, auditable solutions
- ✓Not black-box AI - pure mathematical optimization
- ✓Proof files for every solution - full transparency
- ✓99.9% uptime SLA with 24/7 monitoring
Your Potential ROI
Based on verified 54.86% cost reduction vs PLEXOS on IEEE RTS-GMLC benchmark (Nov 2025). Powered by AMPDE meta-optimizer. Actual savings may vary by grid configuration.
Simple Onboarding
From pilot to production in 90 days—no upfront costs, prove value on your data first
Discovery Call
30-minute technical discussion to understand your grid size, current tools, and optimization goals. Determine if ULTIMA-GRID is a good fit for your needs.
60-Day Pilot
Free pilot on your historical data. Side-by-side comparison with your current solution. Measure cost savings, feasibility, and regulatory compliance.
Integration
REST API or direct integration with your EMS. Dedicated support engineer. Training for your operations team. 30 days to production.
Production
Go live with daily unit commitment optimization. 99.9% uptime SLA. 24/7 monitoring and support. Continuous performance tracking.
Total Onboarding Timeline
ULTIMA-GRID Proven Performance
100% feasibility across California grid seasonal benchmarks. 610 generators, 48-hour planning horizon, zero constraint violations. Validated on industry-standard IEEE test systems with full transparency and reproducibility.
Independently Verified Results | Developed in Petawawa, Ontario
FEASIBILITY
All 4 seasonal benchmarks achieved feasible solutions. Zero constraint violations across Fall, Winter, Spring, and Summer test periods.
SCALE
California grid benchmark with 610 generators, 73 buses, 48-hour horizon. Real-world complexity validated at production scale.
PERFORMANCE
Advanced mathematical decomposition with GPU acceleration. ~30 minutes runtime for 48-hour planning on consumer hardware.
RIGOROUS
Industry-standard IEEE benchmarks. Deterministic, auditable, mathematically rigorous. No black-box ML—pure optimization.
California Seasonal Benchmarks
| Season | Date | Total Cost | Runtime | Status |
|---|---|---|---|---|
| Fall | Sep 1, 2014 | $235,877 | 30 min | ✓ FEASIBLE |
| Winter | Dec 1, 2014 | $177,724 | 30 min | ✓ FEASIBLE |
| Spring | Mar 1, 2014 | $164,476 | 30 min | ✓ FEASIBLE |
| Summer | Jun 1, 2014 | $228,368 | 30 min | ✓ FEASIBLE |
About Kyle Clouthier
Independent optimization specialist with deep computational mathematics expertise. Proven track record developing production-grade solvers for complex constraint satisfaction problems. Based in Petawawa, Ontario, Canada.
Mathematical Foundations
Advanced training in computational physics and applied mathematics. Expertise in large-scale optimization, constraint programming, and GPU-accelerated numerical methods. Self-taught across multiple optimization frameworks and solution techniques.
Technical Skills
Python, C++, CUDA for GPU computing. Experience with Quantum ESPRESSO, custom solver development, metaheuristic optimization, decomposition methods. Strong background in computational science across power systems, materials design, and constraint satisfaction.
Location & Approach
Petawawa, Ontario, Canada. Direct collaboration without institutional overhead. Proven ability to deliver production-quality solvers on aggressive timelines. Available for consulting and custom development projects.