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nPlan
AI schedule forecasting and risk prediction
AI-driven project forecasting platform trained on 750,000+ historical schedules using deep learning and graph neural networks to predict risks, delays, and optimize project delivery.
$36.5M raised
Data Transparency
Exactly what this tool uses and how
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Input
What it needs
Required: Project schedules (Primavera P6, MS Project)
Optional: Historical project data, Plain text project descriptions
Formats: P6 XML, MS Project, Schedule files, Text input for Schedule Studio
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Output
What you get
Format: Risk forecasts and schedule analytics
Fields: Activity-level duration forecasts, Risk probability scores, Problematic schedule segments, Delay predictions, Performance trends, Auto-generated schedules (Schedule Studio)
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Algorithm
How it works
Model: Deep learning + Graph Neural Networks (GNNs)
Accuracy: Forecasts every activity with unattainable human accuracy
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Privacy
How your data is protected
Retention: Project data used for training (with permission)
Training: Largest construction schedule database globally
Compliance: Enterprise security, Data protection standards
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API
Integration
Endpoint:
Platform integrations availableMethod: Not publicly documented
Use Cases
- • Predict schedule delays before they occur
- • Identify high-risk activities
- • Auto-generate project schedules from text
- • Portfolio risk management
- • Large infrastructure project forecasting (£11B+ projects)
Pricing
Free
Demo available
Pro
Contact for pricing
Enterprise
Custom pricing for large portfolios