5063 North Service Road, Suite 100-574, Burlington, ON, L7L 5H6, Canada
Industries

Industry-specific support for complex, asset-intensive environments.

MoteReality works across industries where physical accuracy, documentation quality, equipment readiness and dependable digital information have real operational value.

Designed for oil & gas, power, utilities and heavy industry.Adaptable to buildings, real estate and infrastructure.Supports technology procurement, digital transformation and operational modernization.
Diverse engineering team reviewing a digital twin dashboard in a corporate meeting room

Oil & Gas

Plant digitization support, asset verification, scanner selection, engineering model quality and legacy record modernization.

Power Plants

Improved asset visibility, equipment specification and digital information for maintenance planning, upgrades and technical coordination.

Real Estate

Building information capture, drone/photogrammetry planning and structured digital records for owners, developers and managers.

Construction

Reality capture support, progress verification, digital handover readiness and equipment recommendations and better handover documentation.

Utilities

Infrastructure documentation, mapped asset information and stronger data foundations.

Manufacturing

Facility digitization, workstation planning, model updates and digital asset clarity for operating industrial environments.

Infrastructure

Asset information support for roads, bridges, public infrastructure and critical facilities.

Facility Management

Accessible digital records and fit-for-purpose technology that improve maintenance coordination and operational visibility.

Industrial specialist inspecting plant equipment with digital overlay
What Clients Need

Different sectors. One common objective: trusted digital asset clarity.

Across industries, clients typically want to reduce uncertainty, improve information quality, select the right technology and strengthen their ability to plan, operate and modernize with confidence.

Understand what truly exists in the field.
Reduce fragmentation across models, scans, documents and equipment ecosystems.
Procure fit-for-purpose technology for capture, processing and storage.
Create a stronger foundation for digital twin and lifecycle initiatives.