📍 London, United Kingdom·Est. 2017
nPlan logo
Private Company

nPlan

A London AI company whose deep-learning models forecast risk in construction schedules — trained on one of the world's largest datasets of past project programs to predict delays before they happen on major infrastructure works.

Listen to this lesson

Free preview · first 0:30
0:00 / 0:30

Audio & video lessons are paid features

Plus unlocks audio streaming. Pro adds downloadable audio, video, certificates, and more.

Plus adds:
  • Audio streaming
  • Downloadable PDFs
  • All AI Playbooks
  • Personalized content
Pro also adds:
  • Certificates of completion
  • Audio MP3 downloads
  • Video lessonssoon
  • & More…soon

Watch this lesson

AI Pro Playbook video — coming soon

Learn About nPlan's AI Products

Create a free account to access in-depth lessons on each tool and model.

Start Learning Free

📋About nPlan

Updated June 24, 2026

nPlan is a British artificial-intelligence company headquartered in London, United Kingdom, founded in 2017, that forecasts risk in construction project schedules. Large infrastructure projects — rail upgrades, transit lines, energy and utility works — routinely run late and over budget, in part because their schedules are built on optimistic assumptions. nPlan trains deep-learning models, including graph neural networks, on one of the world's largest datasets of past project schedules — more than seven hundred thousand as-planned and as-built programs — to predict how long activities will actually take, flag the riskiest parts of a schedule, and quantify the likelihood of delay before work begins. On a multi-billion-pound rail upgrade in northern England, the company has reported identifying risk insights worth many millions of pounds in potential delay exposure. For civil and infrastructure engineers, nPlan is one of the clearest AI-native tools on the planning and risk side of major projects.

🛠️Products & Tools (1)

nPlanEnterpriseAEC AI

nPlan trains deep-learning models on more than seven hundred thousand past project schedules to forecast how long activities will really take, flag the riskiest parts of a program, and quantify delay risk before construction begins on major infrastructure.