Precision Geomatics • Reality Capture • Digital Twinning
We integrate advanced spatial data into the modern AEC workflow to drive smarter project delivery.
The Story
Ortho Maps Group was founded in 2022 to solve a critical challenge in capital project delivery: the need for a common visual language that unites project stakeholders, consultants, and management teams.
Drawing on extensive experience in development management, we provide precision AEC reality capture and geomatics solutions designed to integrate seamlessly with modern industry workflows. We transform complex site data into clear, intuitive, and high-fidelity digital assets—providing a shared perspective for everyone involved.
The result is smarter project delivery. By empowering your team to see further and execute with greater clarity, we help mitigate risk and enable data-driven decisions at every stage—from initial planning through to final turnover.
As a specialized geomatics firm, our team is equipped with the advanced technology and expertise required to capture projects of any scale and complexity, ensuring a safe, professional, and reliable service experience.
The Service
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An Orthophoto is more than an aerial photograph—it is a survey-grade, foundational layer of AEC reality capture. By geodetically correcting high-resolution sensor data, Ortho Maps Group creates a single, seamless, and uniform-scale view of your entire project.
Our orthorectification process eliminates perspective distortion to produce a meticulously accurate representation of the real world. Because every point is geographically true, these maps provide the authoritative spatial data required to drive critical design, engineering, and planning decisions across the project lifecycle.
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Ortho Maps Group transforms high-fidelity reality capture and complex geospatial data into actionable spatial intelligence. Utilizing advanced GIS methodologies, we develop custom cartographic deliverables that distill multi-layered project information into a clear, authoritative, and professional format.
Engineered for a broad spectrum of applications—from environmental assessments and community planning to large-scale infrastructure development—our maps serve as critical decision-support tools. By establishing a common visual language, we empower project teams and stakeholders to refine strategy, mitigate risk, and drive smarter project delivery through synchronized collaboration.
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Ortho Maps Group delivers high-fidelity Digital Surface Models (DSM) and Digital Terrain Models (DTM) that provide a definitive understanding of project topography. By integrating advanced aerial sensors with ground-based geomatics, we produce survey-grade models featuring precise contour lines and grading data essential for rigorous site planning.
This level of geospatial precision facilitates critical engineering workflows, including slope stability analysis, cut-and-fill volumetric calculations, and hydraulic drainage design. By providing authoritative terrain intelligence, we enable optimized resource allocation and minimize budgetary risk, ensuring more predictable and successful project outcomes from the ground up.
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Our digital twins are high-precision, measurable virtual replicas that serve as the definitive "digital thread" for real-world assets. Far exceeding simple visualization, these models are dimensionally accurate, empowering AEC teams to perform engineering-grade measurements—calculating distances, heights, and volumes—directly from a centralized digital environment.
Seamlessly integrated with industry-standard BIM and VDC workflows, our digital twins support complex feasibility analyses and enhance architectural renders with real-world site context. They facilitate high-resolution remote site reviews, enabling synchronized, data-driven collaboration among global stakeholders and ensuring project continuity regardless of location.
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Ortho Maps Group utilizes advanced terrestrial SLAM (Simultaneous Localization and Mapping) and high-resolution 360° imaging to facilitate comprehensive Site Digitization. This service bridges the gap between exterior aerial data and interior as-built conditions, providing an immersive, navigable digital record of the project environment at every stage of construction.
Seamlessly integrated into BIM and VDC environments, our terrestrial datasets enable high-frequency site documentation, remote walkthroughs, and precise verification of structural, mechanical, and electrical installations. This continuous digital record ensures total transparency across the project lifecycle—reducing coordination errors, accelerating pay-application verification, and ensuring that the "as-built" reality is perfectly synchronized with the "as-designed" intent.
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Ortho Maps Group provides a safe, precise, and non-destructive methodology for assessing high-value assets, including building envelopes, utility corridors, and industrial infrastructure. Utilizing high-resolution photogrammetric sensors, we capture granular data that allows project teams to identify structural anomalies and mitigate site risks before they impact the schedule.
We deliver these findings through structured, actionable reporting tailored for construction progress monitoring, QA/QC verification, and condition assessments. This critical spatial intelligence empowers project management teams to make timely, informed decisions that protect physical assets, optimize maintenance cycles, and ensure that complex capital projects remain on schedule and within technical specifications.
A digital twin of a future project site
An orthophoto of a future project site
A digital surface of an active project site
An orthophoto of a project site and haul route
A ground control point being surveyed
A 2D cross-section for quality checking a civil earth works operation
An orthophoto of an active borrow pit site and haul route
A photo capture of an active borrow pit site
One of our drones taking off to capture an orthophoto and digital twin
An orthophoto of a borrow pit site
An orthophoto of an active project site
A photo of an active project site
A measurable point cloud of a proposed borrow pit location
An orthophoto of a proposed borrow pit location
A digital surface model heatmap of a proposed borrow pit location