Construction analytics · nPlan
nPlan
Machine-learning schedule risk forecasting that predicts delay probability and completion dates from historical project data.
nPlan is a schedule-risk forecasting platform rather than a site-monitoring or project-reporting tool: it trains machine-learning models, including graph neural networks, on a dataset of more than 750,000 historical construction schedules to predict how individual activities and whole projects are likely to actually perform, independent of the optimistic assumptions built into a traditional CPM schedule. It outputs activity-level delay probabilities, probabilistic completion-date forecasts with confidence intervals, and portfolio-wide risk prioritization, and can generate or edit draft schedules from scope documentation using generative AI. It reads schedule files from tools such as Oracle Primavera, Microsoft Project, and Powerproject rather than replacing them. It suits planners and project controls teams on large, complex projects who want an evidence-based check on schedule realism, distinct from reality-capture tools that track what has physically been built.
At a glance
| Vendor | nPlan |
|---|---|
| Pricing model | Quote only |
| Free tier | No |
| Deployment | Cloud |
| Open source | No |
| Best for | Project controls and planning teams on large or complex projects who need data-driven schedule risk forecasts. |
Pricing
Custom pricing; no published rate card, contact sales or request a demo.
Pricing has not been verified yet — see the vendor's site.
Features
- Activity-level delay probability forecasting
- Probabilistic project completion forecasts with confidence intervals
- Portfolio-wide risk prioritization
- Schedule integrity issue detection
- Generative AI schedule creation from scope documents
- Trained on 750,000+ historical project schedules
- Reads schedules from Oracle Primavera, Microsoft Project, and Powerproject
Integrations
Profile last reviewed September 21, 2026