At Mach9, we envision a future where global infrastructure development is accelerated through the seamless fusion of AI, machine learning, and computer vision technologies, enabling unprecedented speed and accuracy in geospatial data production.
Our mission is to transform how urban and infrastructure assets are mapped and understood by automating the extraction and modeling of complex 3D lidar and imagery data, empowering engineering and construction industries to deliver faster, more efficient projects.
Rooted in cutting-edge research from Carnegie Mellon University and fortified by real-world expertise from leaders in robotics and autonomous systems, Mach9 is dedicated to building the next generation of geospatial intelligence tools that redefine infrastructure management and innovation.
Our Review
When we first looked into Mach9, we were struck by how they're tackling a seriously unsexy but crucial problem: making sense of massive amounts of infrastructure data. Their story is particularly interesting because it shows how AI can transform traditional industries in unexpected ways.
From Hardware to Game-Changing Software
What caught our attention is Mach9's pivot from hardware to software — a smart move that's paying off. Instead of just building better sensors, they're now using AI to automatically process lidar and imagery data, turning what used to be weeks of manual work into a matter of hours. It's like having a tireless digital surveyor that never needs a coffee break.
Why Infrastructure Giants Are Paying Attention
Their Digital Surveyor platform is particularly impressive, automatically identifying over 20 different types of infrastructure features. We're talking about everything from utility poles to traffic signals — stuff that traditionally required teams of people with clipboards and serious patience. The fact that major players like Michael Baker International and POWER Engineers are already on board speaks volumes.
The Brain Trust Behind It
What gives Mach9 extra credibility is their founding team's background. Coming from Carnegie Mellon's Robotics Institute, with experience at places like DARPA and NASA, they're not just tech entrepreneurs — they're deep tech experts who understand the complex challenges of perception and computer vision.
Looking Ahead
With their recent $12M seed round, led by Quiet Capital and backed by industry veterans like Cruise's founder, Mach9 is positioned to scale significantly. While they're still a relatively small team (~15 people), we're impressed by how much they've accomplished. They're not just digitizing infrastructure — they're fundamentally changing how we map and understand our built environment.
If they can deliver on their promise of making infrastructure mapping dramatically faster and more accurate, Mach9 could become an essential tool for anyone involved in urban development and infrastructure management. It's the kind of behind-the-scenes technology that most people will never see but will benefit from every day.
Features
Automated processing of large-scale lidar and imagery data
Creation of 2D and 3D engineering models
AI-based identification and extraction of over 20 urban and infrastructure features
Faster and cheaper geospatial production compared to manual methods
Advanced AI, machine learning, and computer vision integration
Jobs
FAQs
Ploy was founded in 2024.
Mach9 builds software that transforms reality capture datasets into high-precision 3D maps, accelerating how teams model and understand the world. Its flagship product, Digital Surveyor, automatically extracts features like utility poles, signs, curbs, striping and more from LiDAR and imagery datasets to create engineering-ready CAD and GIS deliverables. Surveying, engineering, and GIS teams work with Mach9 to reduce the time and cost of 3D mapping and deliver projects faster than ever before. Founded in 2021 and based in San Francisco, Mach9 is backed by Quiet Capital, Y Combinator, Soma Capital, Tiger Global, and Overmatch Ventures and trusted by leading engineering, construction and infrastructure organizations.
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