Buildright is developing an AI intelligence layer for construction projects to help contractors and project teams solve invisible risk — by turning the data already generated on every project into actionable insights before problems become costs. The problem hiding in plain sight Construction is broken. 85% of large projects finish over budget. Rework accounts for 9% of total project cost. Delays cost $280bn annually in North America alone. The signals that predict these outcomes already exist — in meeting notes, deviation logs, change orders, and task lists. But no one sees them in time to act. Risk only becomes visible after it has already cost you. This affects every contractor, project manager, site foreman, and HSE officer on every project — in an industry that represents trillions in global economic activity. From raw data to the right decision Buildright connects the data already generated on construction projects and surfaces the right insight to the right person — at every level of the organisation. Project directors get cross-project risk visibility to see which projects need attention before they escalate. PMs, HSE managers, and quality leads get role-specific dashboards with the decisions they need to make, surfaced daily. Site crews get targeted microlearning triggered automatically when a risk pattern is detected — before the next shift starts. But we go beyond insights. Buildright also automates the everyday tasks that consume project teams — generating alerts when something needs attention, and producing artifacts like meeting packs, reports, and change-order traces automatically. The result is not just better visibility, but a meaningfully more efficient project team. We're live in production with AF Gruppen and Betonmast, two of Norway's largest contractors. 100,000+ deviations, tasks, and meeting notes analysed — with a confirmed 10x ROI from our pilots. The urge to solve a global problem Lars Gaustad spent years at the top of the construction industry — and watched the same story play out over and over. Projects bleeding money. Deadlines slipping. And when it was over, everyone moved on. No real post-mortem. No learning. Just the next project, making the same mistakes. The industry wasn't short of ambition. It wasn't short of software. It was drowning in data it couldn't use. As CEO of Saint-Gobain Construction Products in Norway, Lars saw that the real problem wasn't digitalization — it was that decades of hard-won project knowledge was locked away, invisible, unreachable to the people who needed it most. Every project started from scratch. Every mistake was someone else's first time. That's not a technology problem. It's a fundamental failure to learn. And it's costing the industry hundreds of billions every year. That's why we build the construction industry's intelligence layer.