Fully Understand Your Job Site
Field Foundation Models™ reveal detailed insights into your building project.
Construction
Navigating these complex conditions requires an incredibly robust autonomy stack that can learn while it works. Field AI’s unique brain technology can handle the fully dynamic nature of your most challenging environments, while capturing critical data that can alert your project teams to deviations from the building plan. The resulting insight can help you reduce risk and uncertainty on even the most complex of projects.
Automate Site Inspection
Field AI-enabled robots finally unlock the ability to automate the labor-intensive process of collecting and reporting on data throughout your construction site, providing reliable and cost-effective ways to help general contractors stay on top of progress and avoid critical and costly mistakes, even when they’re not on site. With simple mission setup, dynamic replanning, and flexible real-time communications with remote teams, we’ll deliver a safer, more versatile solution for your facility that can often pay for itself with the first issue it identifies.
Track Progress to Ensure Quality
With Field Foundation Models (FFMs) at its core, the Field AI brain enables the spatial intelligence your robots need to navigate safely, quickly, and efficiently throughout the most dynamic and unpredictable environments. You can now generate accurate and highly detailed 360-degree 3D scans of your entire site, track progress daily, and compare BIM models to what’s actually being built. Best of all, this data feeds seamlessly into your existing workflows to ensure your project stays on track.
Standardize Data Collection & Analysis
During a quickly evolving construction project, how you process data is strongly linked to how you capture it. By automating your data capture with a Field AI-enabled robot, you can quickly run deviation analyses while proactively flagging risk, empowering your teams to fundamentally change how accurately and efficiently projects are delivered. This process helps protect project margins by catching issues early on, paving the way for a more financially sustainable process that can scale across hundreds of job sites.
