nPlan: Predictive Programming and Risk Mitigation in Construction through Machine Learning
Corporate Identity and Applied Data Science
Foundational Data and Strategic Leadership
nPlan Ltd. is a British deep technology company founded in 2016 by Dev Amratia and Alan Mosca. Based in London, the company has specialized in the niche of predictive scheduling, using artificial intelligence to address the systemic problem of delays in the construction industry. Its approach moves away from subjective estimates, relying on empirical analysis of massive historical data.
Under the direction of Dev Amratia as CEO, nPlan has managed to position itself as a benchmark in uncertainty management for large infrastructure programs. The company maintains a private structure and operates from its technology center on Hanbury Street, London, where a multidisciplinary team of data scientists and civil engineers develop algorithms that learn from the actual execution of past projects to inform the future of the industry.
The Largest Programming Dataset in the World
nPlan's competitive advantage lies in its Machine Learning (ML) engine, which has been trained with the most extensive database of construction schedules on the market. By the end of 2024, the system has processed more than 750,000 individual work programs, representing trillions of dollars in asset value. This scale of data allows AI to identify behavioral patterns and correlations that are invisible to traditional planning methods.
Unlike Monte Carlo simulations, which rely on manually assigned probability distributions by humans, nPlan uses deep learning to calculate the delay probability of each activity in a network diagram. The software analyzes how similar tasks have performed in similar contexts, providing a 'confidence level' based on historical reality, allowing for much more accurate risk quantification for the master schedule.