Looq AI
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About
Looq AI is a spatial intelligence platform designed for the built world, specifically targeting infrastructure, utility, and civil engineering sectors. Established in 2021, the company provides a comprehensive workflow for digitizing physical assets and environments. Its primary goal is to transform real-world conditions into accurate, actionable digital models, helping organizations move from reactive maintenance to proactive planning. By combining specialized hardware with advanced computer vision and artificial intelligence, the platform enables the creation of a living history of infrastructure, facilitating better decision-making for long-term management and risk assessment. The platform operates through a seamless four-step process: capture, process, analyze, and collaborate. Users utilize handheld photogrammetry hardware equipped with GNSS and PPK (Post-Processed Kinematic) technology to capture high-resolution imagery and spatial data from the ground level. Once data is collected, Looq’s AI-enabled software processes the inputs to generate survey-grade 3D point clouds and 2D data. This eliminates much of the manual labor traditionally associated with topographic surveys and asset inspections. The resulting models are hosted on a central platform where teams can inspect asset conditions, extract insights, and deliver data in industry-standard formats. This tool is specifically tailored for professionals in survey/civil engineering, transmission and distribution (T&D) engineering, and utility management. Unlike traditional LiDAR-heavy workflows that may require expensive vehicle-mounted systems or specialized aerial drones, Looq AI focuses on high-precision ground-based capture. This makes it particularly effective for capturing detailed information in environments where GPS signals might be obstructed or where fine-grained asset inspection is required. It bridges the gap between raw field data and engineering-ready models, serving as a unified system for both data collection and spatial intelligence. What sets Looq AI apart is its integration of AI-driven automation within a survey-grade accuracy framework. While many photogrammetry tools exist, Looq provides a purpose-built hardware and software ecosystem specifically for infrastructure. The platform emphasizes making data accessible across organizational silos, ensuring that spatial intelligence is searchable and actionable rather than locked in static files. With recent innovations like the qPole for grid modeling and an expanding global partner ecosystem, the tool is positioning itself as a foundational technology for managing global-scale infrastructure challenges.
Pros & Cons
Delivers high-precision, survey-grade results from ground-based handheld captures.
Combines specialized hardware with AI software for an end-to-end infrastructure mapping workflow.
Supports PPK and GNSS for accurate spatial positioning in complex environments.
Enables seamless collaboration through a centralized cloud platform for viewing and inspecting data.
Requires purchase or lease of proprietary handheld hardware to utilize the platform.
Pricing information is not transparently listed and requires direct contact for a demo.
Specialized focus makes it less suitable for general-purpose 3D modeling outside of infrastructure.
Use Cases
Land surveyors can perform rapid topographic captures using handheld devices, reducing time spent on-site compared to traditional tripod-based methods.
Utility engineers can create digital twins of electrical grids and poles to identify maintenance needs and improve system reliability through proactive planning.
Civil engineering teams can generate engineering-ready 3D models and 2D drawings from raw field data to streamline infrastructure design and development.
Asset managers can use the platform to maintain a searchable, living history of built assets, breaking down data silos across their organization.
Platform
Task
Features
• survey-grade accuracy reporting
• infrastructure intelligence dashboard
• asset condition inspection tools
• cloud-based collaboration platform
• 2d data extraction and modeling
• integrated gnss and ppk technology
• ai-enabled 3d point cloud generation
• handheld photogrammetry capture
FAQs
What type of hardware is required for Looq AI?
Looq AI utilizes a proprietary handheld photogrammetry system equipped with integrated GNSS and PPK sensors to capture high-precision data from the ground level.
Can Looq AI generate survey-grade data?
Yes, the AI-enabled processing is specifically designed to produce survey-grade 3D point clouds and 2D data suitable for civil and T&D engineering projects.
Which industries benefit most from this platform?
The tool is optimized for survey and civil engineering, utilities, and transmission and distribution engineering firms managing critical built infrastructure.
How does the platform facilitate team collaboration?
Looq provides a centralized cloud platform where users can view, inspect, and share spatial data, breaking down silos between field teams and office-based engineers.
Is there a way to see a demo of the software?
Potential users can request a personalized demo through the Looq AI website by providing their contact information and specific industry details.
Job Opportunities
Business Development Manager
Generate survey-grade 3D point clouds and 2D spatial data using handheld photogrammetry and AI-enabled processing for civil engineering and utility projects.
Benefits:
Health
Vision
Dental
401(k)
Unlimited vacation policy
Experience Requirements:
5+ years of consistent wins in technical enterprise B2B sales
Strong familiarity with the survey, civil and construction industries
Background in geospatial tech, reality capture, or digital mapping
Experience with coordinate systems and accuracy discussions
Experience with CRM tracking (such as Hubspot)
Other Requirements:
Familiarity with survey processes
Willingness to travel for demos and partnership discussions
Ability to translate complex tech into real business value
Responsibilities:
Crushing personal quota
Building relationships with civil engineering and survey companies
Closing complex technical deals from prospect to handoff
Network at conferences and events to build quality leads
Improve sales processes and deal-flow efficiency
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Customer Success & Product Specialist
Generate survey-grade 3D point clouds and 2D spatial data using handheld photogrammetry and AI-enabled processing for civil engineering and utility projects.
Benefits:
Health
Vision
Dental
401(k)
Unlimited vacation policy
Education Requirements:
Degree in Geomatics or a related field
Experience Requirements:
Hands-on surveying experience (field or office)
Other Requirements:
Strong problem-solving skills
Clear and effective communicator
Customer-focused mindset
Technical documentation experience is a plus
Responsibilities:
First point of contact for customer support and troubleshooting
Manage support tickets and resolve technical issues
Connect with users to gather feedback and shape the platform
Maintain user guides and knowledge base
Organize and analyze data for software testing and training
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Deep Learning Engineer 3D Vision & Infrastructure AI
Generate survey-grade 3D point clouds and 2D spatial data using handheld photogrammetry and AI-enabled processing for civil engineering and utility projects.
Benefits:
Health
Vision
Dental
401(k)
Unlimited vacation policy
Education Requirements:
MS or PhD preferred in Computer Science, Engineering, or related field
Experience Requirements:
3+ years of experience shipping models into production
Experience with deep learning frameworks: PyTorch, TensorFlow, or JAX
Experience with computer vision libraries (OpenCV, etc.)
Familiarity with 3D data formats like point clouds and meshes
Experience with experiment tracking (Weights & Biases, MLFlow)
Other Requirements:
Strong math and spatial reasoning
Skilled in model optimization (quantization, TensorRT)
Strong Python skills
Familiarity with SLAM or multi-view geometry is a plus
Responsibilities:
Design and implement deep learning models for 2D/3D detection
Perform semantic segmentation of imagery and point clouds
Optimize models for real-time inference and edge deployment
Build pipelines for data preprocessing and training automation
Collaborate with cross-functional teams to integrate models
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