The future of project forecasting and risk management is here.

While traditional QSRA exclusively relies on the subjective opinion of project teams, nPlan empowers you and your team to make data-driven decisions with robust, accurate, and unbiased insights through the use of machine learning and historic data.

Our clients operate in different sectors, throughout the value chain of construction projects. These sectors include infrastructure, oil & gas, and more.

We receive historical data from our clients. Since 2017, we have trained our algorithms on a dataset that contains over 750,000 past schedules- making it the largest library of schedules in the world.

Yes, nPlan can identify commonly missed risks by highlighting activities in your project that are far from the deterministic critical path but still have an influence on the outcome. These are often referred to as surprise, low probability, high-impact risk events.