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nPlan

nPlan

Machine-learning risk analysis trained on a million construction schedules. Surfaces delay risk early.

What it does

nPlan benchmarks a project schedule against a corpus of completed projects (publicly cited as over a million) and outputs a probabilistic delay forecast for each activity, plus a quantitative confidence range for the project completion date. Output is most useful at gateway approvals and quarterly reviews — sponsors get an empirical second opinion to set against the contractor's submitted programme.

Ingest is from P6 / MSP. The team usually engages on a per-project or per-portfolio basis with a paid pilot before broader rollout.

For nPlan’s company background and other listings, see the vendor profile.

Lifecycle fit

Where nPlan actively supports work across the project lifecycle.

  • 01General
  • 02Feasibility
  • 03Definition
  • 04Delivery
  • 05Operations
  • 06Post-Delivery

Capabilities

Industries

  • Construction
  • Infrastructure
  • Energy

Pricing

Licensed by Project

The directory describes how vendors charge. We don’t publish actual prices — those vary by project size, region, and procurement vehicle.

Editor's note

The category-defining application of ML to scheduling risk; widely cited but still early in adoption.