Demo Lab
Explore the working optimization prototype through benchmarks, visual comparisons, and test environments built around real construction scheduling logic.
Development Pipeline
Faster Runtime
Reduce compute time and improve iteration efficiency.
10,000 Tasks
Expand performance toward much larger programmes and enterprise-scale planning tests.
More Visual Outputs
Add richer baseline-versus-optimized comparisons and benchmark reporting.
Interactive Testing
Prepare the foundation for a public-facing optimizer test page.
Risk Expansion
Extend demo outputs from time optimization toward risk-driven decision optimization.
Demo 001 · 1,000 Task Schedule Optimization
Baseline Schedule
Original project plan before optimization. This is the reference used to compare duration, sequencing, and downstream improvements.
Optimized Schedule
GA-improved version of the same schedule, preserving planning logic while searching for a better outcome.
Benchmark Focus
Runtime
Development is currently focused on reducing execution time and improving algorithm efficiency.
Scalability
The current working benchmark is 1,000 tasks. The next milestone is scaling the engine to 10,000 tasks.
Logic Integrity
Optimization is designed to preserve real schedule logic rather than produce invalid or unrealistic outputs.
Faster Runtime
Reduce compute time and improve iteration efficiency.
10,000 Tasks
Expand performance toward much larger programmes and enterprise-scale planning tests.
More Visual Outputs
Add richer baseline-versus-optimized comparisons and benchmark reporting.
Interactive Testing
Prepare the foundation for a public-facing optimizer test page.
Risk Expansion
Extend demo outputs from time optimization toward risk-driven decision optimization.
Why this matters
The Demo Lab proves that the platform is not just a concept. It demonstrates a working mathematical engine applied to real construction scheduling problems, with measurable outputs, visible comparisons, and clear scaling goals.