Nodes and Links uses AI to minimise human error in a number of large-scale engineering projects. Through detailed analysis the startups' Aegis platform provides project and risk managers with real-time data that helps ensure trillion dollar projects have as little waste as possible. The startup has raised £7.9 million in a Series A funding round, bringing their total capital raised to £9.3 million.
According to a survey by Oxford University, a mere 8% of infrastructure projects are delivered on time and on budget. 8 percent. Obviously, with big projects come opportunities for big mistakes, ones that often carry a big price tag.
In addition to trying to beef up that 8%, Nodes and Links is serving a larger purpose: ensuring long(er) term environmental, social, and financial sustainability. By trimming the fat, Nodes and Links helping engineers effectively meet McKinsey’s estimate of $4.5 trillion that will need to be investing into infrastructure every year through 2030 to keep up with GDP growth and meet the UN’s sustainable development goals.
“By expanding our workforce to include machines, better decisions will be made and better projects delivered. We firmly believe that the work we’re doing is going to have the same impact as automation did in manufacturing and this new investment will help us accelerate its adoption for the common good,” commented CEO Greg Lawton.