nPlan

nPlan is a London-based technology company, founded in 2017, that provides a machine learning-based platform for risk analysis and schedule forecasting in large-scale construction and infrastructure projects. The company was established by Dev Amratia and Alan Mosca, who met through the Entrepreneur First accelerator program. Amratia, the CEO, previously worked for nine years as a Project Manager at Shell and served as a Senior Advisor to the UK Government on AI. CTO Alan Mosca has a background in computer science and quantitative finance, combined with a PhD in theoretical machine learning. The firm's core offering is a software-as-a-service (SaaS) platform that analyzes project schedules to identify potential delays and cost overruns before they happen. It operates by ingesting existing project plans from standard tools like Oracle Primavera and comparing them against its proprietary dataset of over 750,000 historical project schedules, which represents more than $2 trillion in construction spending. This data-driven approach allows nPlan to generate unbiased, probabilistic forecasts of project outcomes, highlighting specific activities and milestones with the highest probability of delay. The platform is designed as an analytics layer to supplement, rather than replace, existing project management systems. nPlan serves clients such as large contractors, infrastructure owners, and project owners in the construction, energy, and public sectors. By providing data-backed insights, the company enables project teams to make more informed decisions, proactively mitigate risks, and improve the predictability of project delivery. Key products include 'Insights Pro' for individual project assurance, 'Portfolio' for managing risk across multiple projects, and 'Schedule Studio' which uses Generative AI to create and iterate complex schedules. Since its inception, nPlan has raised a total of $36.5 million in funding from investors including GV (formerly Google Ventures), Chevron Technology Ventures, and Pentech Ventures. Keywords: construction technology, project risk management, schedule forecasting, artificial intelligence, machine learning, predictive analytics, project controls, infrastructure projects, capital projects, schedule risk analysis, SaaS, deep learning, delay prevention, cost overrun, construction AI, project assurance, risk mitigation, data-driven decisions, schedule analytics, portfolio management, generative AI