AI FOR PROJECT CONTROLS AND DELIVERY

Forecast. Assure.
De-risk. Deliver.

Trained on a dataset of 600,000+ historical schedules representing over $1.8Tn of capital spend, Laburnum AI enables teams to tackle risks before they become issues, improve the efficiency of their project controls function, make smarter execution decisions, and protect projects from severe delays and cost overruns.

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Laburnum AI works with your existing schedules.

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Our dataset

The Laburnum difference — a vast archive of past project data

The foundation of everything we've built is our dataset of more than 600,000 past project schedules — one of the largest collections of historical programmes in the world, representing every capital project sector.

Why does it matter?

Because of something called 'Mean Absolute Error' or MAE. As more schedules become available for AI-led forecasting and risk management, MAE falls dramatically, meaning more accurate forecasts.

With experience building projects for:

🛣️Highways

🚆Rail

🏛️Public buildings

🏢Commercial Buildings

🌉Heavy infrastructure

⚡Oil & Gas

💧Utilities

🖥️Data Centers

One platform, four key use cases

What project owners and contractors use our AI to do

Forecast

Create and edit brand new schedules from scope documentation in minutes using our Generative AI; automatically identify schedule integrity issues; compare and interrogate schedules.

Assure

Quantify the uncertainty of every single activity in your schedule (not just a rolled-up version) with a degree of accuracy unattainable by human operators. Assure activities, key milestones, projects and portfolios.

De-risk

Our AI identifies risky activities so you can tackle them before they become issues. Upload your risk register to find out what you've already got covered — and what you still need to address.

Deliver

View intelligent summaries of project or portfolio risks, opportunities and progress; track strategic risk 'themes' and manage action-taking — all from our project and portfolio control rooms.

Our AI has $450bn of projects under active management Our AI has $450bn of projects under active management Our AI has $450bn of projects under active management Our AI has $450bn of projects under active management Our AI has $450bn of projects under active management Our AI has $450bn of projects under active management

Increase your Knowledge

Join the Laburnum Academy

We've created a series of courses to enable current and future Laburnum users to familiarise themselves with our software and the fundamentals of our unique technology. Master the new world of AI project controls in a few short hours, and gain new career-enhancing certifications in the process!

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🚀

Gain recognised certifications to boost your career.

🎓

Go 'from zero to hero' in approximately 2 hours.

📖

Enjoy full access for the duration of your employer's engagement.

Events

Featured events

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Laburnum AI Summit 2026: The Future of Capital Project Delivery

Location: MaRS Discovery District, Toronto, Canada

Date: September 18, 2026

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"Applying Laburnum's AI capability at a portfolio oversight level allows us to quickly target our leadership interventions to the right areas across a large portfolio of projects, to mitigate risks to outcomes being delivered when they are needed."

David Chen Portfolio Director
Vertex Group

"Construction as an industry hasn't had a comprehensive, systematic knowledge transfer mechanism. We look at Laburnum as a productivity enabler to extract the knowledge and expertise embedded in the data that we've already captured across historical project schedules."

Sarah Okonkwo Co-Founder and MD
Arcadia Technologies

"We handed our schedule over and at that point they were able to give us the step-change we were looking for — they gave us intelligence and insights about probability of success, threats and opportunities, volatility, the spread of probability."

James Thornton Project Director
Meridian Infrastructure

"Laburnum is a critical part of our strategy to ensure predictable delivery and provide effective oversight across our entire investment programme. By leveraging AI and historical data, we can make smarter, data-driven decisions."

Rachel Dupont Head of Delivery Portfolio Management
Catalyst Water

"Being able to get more frequent analysis done on a larger volume of schedules — removing the human bias in favour of learning from actual data and historical performance — is a game-changer for us."

Marcus Webb Head of Strategic Project Controls
Pacific Rail Authority

As seen in

Reuters Financial Times Engineering News Record Bloomberg The Globe and Mail New Civil Engineer Construction News TechCrunch Reuters Financial Times Engineering News Record Bloomberg The Globe and Mail New Civil Engineer Construction News TechCrunch

Forecast. Assure.
De-risk. Deliver.