High-performance tools for problems where standard solutions fail. Validated results you can trust.
Purpose-built tools for specific problem domains
High-dimensional multimodal optimization. Excels on 100+ dimension problems with many local optima where gradient-based methods and standard evolutionary algorithms fail.
Best for: Parameter tuning, hyperparameter optimization, complex design spaces
ValidatedDeterministic optimization for expensive black-box functions. 100% reproducible results with zero hyperparameters. Reduces function evaluations by up to 78% on multimodal problems.
Best for: CFD, FEA, simulations, regulatory compliance
ValidatedConstrained multi-objective optimization. Generates Pareto-optimal solutions while respecting complex constraints. Achieves 99.99% accuracy on standard constrained benchmarks.
Best for: Portfolio optimization, engineering trade-offs, resource allocation
Model calibration maintenance layer. Prevents drift and maintains accuracy WITHOUT retraining. Works with any model, any sensor. Eliminates costly retraining cycles.
Best for: Fraud detection, medical devices, IoT sensors, production ML
Multi-core AI reasoning engine with specialized modules for finance, logic, and perception. Cost-optimized single-call architecture.
Best for: Customer service, document analysis, complex reasoning
Self-Dynamic Regulator with thermodynamic adaptation. Replaces PID with zero manual tuning. Validated 3.9x improvement over traditional controllers.
Best for: HVAC, process control, battery management, industrial automation
Patent PendingEliminates jerkiness and oscillation in robotic motion through gradual command injection. Software-only solution requiring no hardware modifications.
Best for: Industrial robots, precision assembly, autonomous systems
Path optimization and collision avoidance using ThalosForge optimization engines. Real-time trajectory generation.
Best for: Warehouse robots, surgical systems, drone swarms
Independent validation on standard test functions. Lower scores are better.
| Problem | Dimensions | ThalosForge | SciPy DE | SciPy DA | Result |
|---|---|---|---|---|---|
| Rastrigin | 1000D | −4.45 ± 0.30 | +155.09 ± 1.27 | +168.04 ± 1.38 | ThalosForge |
| Rastrigin | 10D | 0.0 | 1.5 - 54 | — | ThalosForge |
| Ackley | 10D | 4.44e-16 | 0.002 - 14 | — | ThalosForge |
| Griewank | 10D | 0.0 | 0.005 - 0.16 | — | ThalosForge |
| G06 Constrained | 2D | −6961.82 | Optimal: −6961.81 | 99.99% | |
Test environment: Intel Xeon E5-2680 v4, Ubuntu 22.04, Python 3.10. Statistical significance: p < 0.0001 (Wilcoxon).
Full methodology and reproducible code available upon request.
Where ThalosForge delivers measurable value
CFD, FEA, and physics simulations costing $50-500 per evaluation. DSS reduces evaluations by 78%.
Hyperparameter tuning with 100+ dimensions. QuantumJolt finds optima where grid search fails.
Fraud, risk, and diagnostic models losing accuracy over time. Saturna maintains calibration without retraining.
Assembly, surgical, and handling robots requiring smooth motion. Command Dosage eliminates oscillation.
Enterprise-grade software with flexible licensing
For individual engineers and POC projects
For teams and production deployments
Starting at $50,000/year
Request a trial, schedule a demo, or discuss your specific optimization challenges with our team.