01Objective & constraint
Crescent Ridge Energy Center · 2×1 M501JAC power island · $480M EPC · pre-execution optimization
Objective
02Impact / ROI
Schedule acceleration
Run the optimizer to populate
Cost impact
Run the optimizer to populate
Time to build a POC
4–8 wks
See one → Do one
Proven at scale
$1B iron ore mine expansion - 17% schedule savings, $100M+ cost savings identified
30+ clients · 15 asset classes
03Before / after Gantt
Run the optimizer to populate
What-if simulator
Fine-tune the AI-optimized schedule for Crescent Ridge. Starting point: the optimizer’s result, not the original baseline.
01Manual controls
~$0.25M per day · diminishing returns past 10 days
Reassign crew
Select different tasks to apply a reassignment
Add resources
~1.5 days per resource · gains cap at 6 resources
02Live output
Projected duration
612 days
at AI-optimal
Projected cost
$299M
at AI-optimal
AI-optimal 612d
AI-optimal: 612 days / $299M - from the optimizer run.
Scenario map
240,000+ configurations evaluated. Each point is a viable resource-loading and sequencing option; the frontier is the efficient trade-off between schedule and cost.
Configurations evaluated
240,000+
Compute time
6 min
Viable frontier scenarios
4
How it decides
The engine explores the tree of execution decisions - contractor sequence, then stage completion, then activity completion - and returns the path that best satisfies your objective.
Returned path: HRSG ∥ BOP resequence → GSU expedite + pull → second-shift close-out612d / $299M· click a grey leaf to preview the road not taken