Looq AI delivers spatial AI for infrastructure teams — including land surveyors, civil engineers, transmission and distribution engineers, utility asset managers, and infrastructure owners — through AI-powered field data capture and processing software.
The Looq Platform combines handheld photogrammetry, AI-enabled processing, and collaborative web-based analysis tools to create survey-grade 3D point clouds and geospatial datasets from the ground — without LiDAR, drones, or complex field setups.
Using intelligent spatial data capture and infrastructure AI workflows, organizations can improve asset inspection, engineering design, digital twin creation, GIS integration, and infrastructure management with greater speed, accuracy, and efficiency.
At 2 a.m., while sitting on the floor of my garage and constructing our first prototype, my long-time colleague and research partner, Shreyas, and I founded Looq AI.
We had a simple goal: to build computer vision and AI technology that would digitize our built world.We knew that by intersecting camera and software design, we could create what would become one of the most foundational technological innovations needed to overcome global-scale infrastructure challenges.
Specifically, we care about making asset data accessible to people—data that would bring transparency to projects, efficiency across organizations, and safety to our society.
Today, we are proud to have united a team of uniquely talented technological innovators, and most importantly, visionaries who are set out to change the world. Learn more about my journey.
Dominique Meyer, Co-Founder and CEO
Geophysical reasoning is the ability of a system to perceive, interpret, and draw conclusions from the physical world using spatial data, computer vision, and AI – the way a trained expert would, at unlimited scale and speed. Looq AI believes geophysical reasoning represents the next evolution of infrastructure intelligence, enabling organizations to move beyond static documentation toward contextual understanding, predictive insight, and more informed infrastructure decision-making.
The Looq AI vision is to help users enhance infrastructure over time with AI-driven context and insight.Specifically, Looq AI is building a scalable infrastructure intelligence platform that helps utilities, engineering firms, and infrastructure owners move from reactive workflows toward proactive, data-informed decision-making. Moreover, by using AI-enhanced spatial data, organizations can enable intelligence of critical assets at scale.
The Looq AI vision is to make data accessible across teams and not locked in silos. Currently, infrastructure data is often fragmented across disconnected systems, teams, and vendors. As a result, utilities, engineers, surveyors, and infrastructure owners struggle to get a complete picture. Therefore, organizations need centralized, searchable spatial datasets that improve collaboration, visibility, and decision-making across projects and asset lifecycles.
The Looq AI vision is to empower users to improve or rebuild infrastructure. Many critical infrastructure systems lack complete or current documentation. Looq AI enables teams to rapidly capture survey-grade field data using handheld photogrammetry and AI-enabled processing workflows. As a result, organizations can improve existing infrastructure and plan future upgrades with greater confidence.
The Looq AI vision is to render undocumented infrastructure a thing of the past. Currently, undocumented or outdated infrastructure creates operational risk, engineering delays, and costly field uncertainty. Therefore, Looq AI helps organizations create accurate digital records, 3D models, and geospatial datasets. As a result, organizations can better support engineering, inspection, maintenance, and long-term infrastructure planning.
The Looq AI vision is to help users understand asset conditions and predict risk and resilience. Specifically, by combining spatial AI and AI-driven processing and analysis, Looq AI enables organizations to better assess asset conditions and identify risk factors. Furthermore, organizations can improve resilience planning and prioritize maintenance or replacement activities with greater confidence.
