nPlan

nPlan, founded in 2017, applies artificial intelligence and big data to the forecasting of large-scale construction projects. Its platform works with existing schedules from tools such as Oracle Primavera P6 and Microsoft Project to model project outcomes, surface risks early, and support project controls. The stated problem is sizeable: six out of every seven large construction projects are delivered late, and schedules overrun by an average of 43%.

The company's foundation is a dataset of more than 750,000 historical project programs, representing over $2 trillion of construction spend and described as one of the world's largest collections of project plans. nPlan combines this with machine learning, large language models and predictive forecasting techniques to inform execution decisions and reduce the risk of severe delays and cost overruns. Projects worth $500 billion are under active management on the platform.

The technology is applied across construction, infrastructure, rail and transportation, oil and gas, and technology sectors. Clients include Google, ExxonMobil, Shell, HS2, Network Rail and Laing O'Rourke. Technical work spans artificial intelligence, machine learning, LLMs, big data analytics, predictive forecasting and project scheduling analytics.