

nPlan is a cloud-based project controls platform for the construction industry. It uses a dataset of over 750,000 historical schedules to provide probabilistic forecasting and risk identification for individual projects and portfolios.
Forecasts project end dates and milestones using machine learning and historical project data.
Supports creating and editing detailed, logic-linked schedules from scope documentation using generative AI.
Helps identify risky activities and potential risks that may not be visible on the deterministic critical path.
Supports generating project controls reports by analyzing uploaded documents such as XER, XML, and PDF files.
Identifies integrity issues and provides data on the composition of a schedule.
Supports quantifying deliverability and systemic risks across multiple projects.
Use of historical data to evaluate competing bid schedules and select contractors.
Creating reports from schedule files, risk registers, and meeting minutes.
Demonstrating project deliverability to support the business case for new construction.
Tracking strategic risk themes across a group of projects to identify where leadership interventions may be needed.
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website, though trials are mentioned for Insights Pro and AutoReport.
nPlan uses a dataset of over 750,000 historical project schedules to train its AI and generate forecasts.
Yes, the AutoReport tool is designed to generate project controls reports from file formats including XER, XML, and PDF.
It is designed for Portfolio Directors, PMO Managers, Planners, and Risk Managers in sectors such as infrastructure, energy, and commercial building construction.
Source category: Construction
Source subcategory: Project Management
nPlan uses AI trained on historical construction data to support schedule generation and predict project end dates. Different product licenses are required for specific capabilities, such as portfolio quantification or predictive reporting.