nPlan

nPlan is a London-based software company that applies machine learning to construction and capital project schedules. Its models are trained on a dataset the company describes as the largest collection of completed project schedules in the world — more than 750,000 past programmes, representing over $2.5 trillion of capital spend according to its October 2025 Series B announcement (the company website cites over $2 trillion). The system ingests customers' existing schedules and produces probabilistic forecasts of uncertainty at the level of individual activities rather than only rolled-up totals, flags risky activities, compares them against uploaded risk registers, and surfaces systemic risks across portfolios.

The platform is organised around four use cases — Plan, Assure, De-risk and Deliver — and delivered through several products: nPlan Insights (including Insights Pro, Core, Contract Risk, Risk Professional and Project Management Professional variants), nPlan Portfolio for programme- and portfolio-level deliverability and risk quantification, Schedule Studio for generative-AI creation of logic-linked schedules from scope documents, a Schedule Integrity Checker, and Decision Intelligence. Barry, introduced as a conversational risk assistant, lets users query nPlan data and consolidate risk registers, and nPlan Portfolio insights can be piped into Power BI dashboards. The company also runs an "nPlan Academy" of certification courses for users.

nPlan positions its approach as an alternative to traditional Quantitative Schedule Risk Analysis (QSRA), arguing that optimism, availability and salience biases plus schedule complexity cause chronic overruns — it cites figures that six of seven large projects finish late, that the average project takes 43% longer than planned, and that one in ten delayed projects finishes more than a year late.

Founding story

Co-founders Dev Amratia and Alan Mosca met through Entrepreneur First and founded nPlan in 2017 on the hypothesis that AI and large-scale data could model and forecast construction projects more accurately than traditional methods. Amratia previously spent nine years at Shell as a project manager on flagship capital projects and co-authored the 2017 UK Government AI Review with Prof. Dame Wendy Hall and Jerome Pesenti; Mosca spent seven years as a technologist in quantitative finance and holds a BEng in computer engineering and an MSc in computer science while completing a PhD in deep learning. To test the hypothesis the founders began assembling a dataset of past project schedules.

Business model

B2B enterprise software sold to project owners/owner-operators and general contractors, with a product suite spanning individual project forecasting, portfolio management, schedule generation and schedule integrity checking. Customer engagements are described as time-bound "engagements" that also include access to nPlan Academy training and certification for the duration of the engagement. At the Series A stage the company also stated an intention to launch an insurance category covering losses from project overruns.

The sources do not state pricing. Revenue appears to derive from customer engagements for its software products; The Company Check lists annual revenue, net profit and EBITDA as not available.

Traction

As of the October 2025 Series B, nPlan reported AI in use on more than $500 billion of live projects and cumulative customer savings of well over $1.2 billion. Named users include HS2, Network Rail, the Transpennine Route Upgrade (which has contractualised nPlan for assuring possessions), Anglian Water (across a portfolio of more than 1,400 projects), Chevron, Shell, MTR in Hong Kong and NEOM in Saudi Arabia; testimonials also come from BAM, Kier and Suffolk. At the time of the 2021 Series A the company reported operating in eight countries with nearly 30 customers and having analysed nearly $1 trillion of construction projects, with Network Rail's Great Western Main Line project cited as saving up to £30 million. Headcount was listed as 57 as of 31 December 2023.

Latest developments

The $16m Series B announced on 17 October 2025 will fund expansion of the London headquarters, international growth in North America, the Middle East and Asia-Pacific, and further R&D in predictive and generative AI. Recent product and content activity referenced on the company website includes Decision Intelligence demonstrated on a $15 billion data centre project, a "Khaleesi" orchestration engine and "Barry Live" shown at the company's Summer AI Day, updates making Barry a more sophisticated AI agent, Power BI integration for portfolio forecasts, and fireside/AI Day sessions featuring National Grid and Sizewell C project leaders and BCG.