nPlan
nPlan helps general contractors predict project outcomes and mitigate risk across individual projects and portfolios. Their AI Deep Learning-powered forecasting engine is trained on over 750,000 past construction schedules.
Project delays and overspends are common in construction. 6 out of every 7 large-scale construction projects are delivered late, and according to the Project Management Institute, for every $1 billion spent on projects, $127 millions are wasted.
nPlan seeks to address these key problems affecting the construction industry, and the many issues they cause for owner-operators and general contractors alike. nPlan’s underlying belief is that AI and ‘big data’ can be used to model and forecast large-scale construction projects much more accurately than traditional methods allow. Their models are trained on the largest collection of past programmes in the world, and are now used by the largest owner-operators and contractors in the world to forecast and de-risk their projects.
Founders
Dev Amratia
CEO
An Aerospace Engineer by trade, Dev started his career in Project Engineering and Management at Shell. Before founding nPlan, he served as a Senior Advisor for the UK Government in the field of AI. As a result of his work, ~£1 billion of public money was committed to progressing AI in the UK. He also sits on the Expert Panel for the Department for Transport’s Acceleration Unit.
Alan Mosca
CTO
Alan conducted his doctoral research on Deep Learning Theory at the University of London, whilst working full time as a technologist in quantitative finance at Wadhwani Asset Management and Jane Street Capital. He has extensive experience in algorithm design and software engineering, and holds a degree in Computer Engineering and a Master’s in Computer Science.
Milestones
Founded at Entrepreneur First
Seed ($3.5 million) led by Local Globe
Series A ($17 million) led by Google Ventures