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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
Website → ← All Tools

Data Transparency

Exactly what this tool uses and how

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
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)
Algorithm
How it works
Model:Deep learning + Graph Neural Networks (GNNs)
Accuracy:Forecasts every activity with unattainable human accuracy
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
API
Integration
Endpoint:Platform integrations available
Method: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