OUR MISSION
Master Frame Technologies, Inc. develops foundational spatial-computing infrastructure intended to establish a consistent, persistent, and reliable spatial reference across devices, sensors, displays, orientations, and computing environments.
We translate foundational research and proprietary intellectual property into practical technology intended to help technology organizations build more capable, consistent, and spatially aware systems. We are committed to rigorous engineering, transparent business practices, responsible stewardship of intellectual property and data, and long-term relationships built on trust, integrity, and mutual value.
Our objective is not simply to develop another application, but to establish an enabling technological layer upon which a broad range of spatial-computing systems and applications can be built.
OUR VISION
Our vision is to establish a common spatial-computing architecture that enables machines, software, and intelligent systems to maintain meaningful spatial context as information moves across devices, viewpoints, environments, and applications.
We envision a computing environment in which spatial information can be consistently represented, preserved, and reliably reused—providing a durable basis for the next generation of spatial computing, extended reality, robotics, computer vision, autonomous systems, and intelligent machines.
CANONICAL COORDINATE INFRASTRUCTURE FOR SPATIAL COMPUTING
A persistent spatial-reference layer for imaging, display, sensing, and spatial-computing systems.
Master Frame Technologies is developing canonical coordinate infrastructure designed to establish persistent spatial relationships during data ingestion—before downstream rendering, viewport derivation, and related processing begin.
The objective is to provide a consistent, deterministic spatial-reference foundation for systems operating across changing display formats, orientations, devices, capture sources, rendering environments, and computational contexts.
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THE PROBLEM
Spatial relationships are often repeatedly translated.
Modern imaging, machine-perception, rendering, and spatial-computing systems frequently transform, reinterpret, or reconcile spatial information across different coordinate systems, orientations, viewports, aspect ratios, devices, and processing stages.
These transitions can require repeated transformation, normalization, buffer management, and application-specific handling. As systems become more complex, that work can increase implementation burden, memory traffic, processing overhead, latency, and opportunities for inconsistent spatial results.
THE MASTER FRAME APPROACH
Canonicalize once. Derive downstream.
Master Frame is developing a persistent computational substrate in which defined spatial and imaging relationships are established early in the data path.
Rather than requiring each display, viewport, orientation, or device context to independently redefine or reconstruct spatial relationships, downstream operations are designed to derive from a shared Master Frame reference.
CAPTURE / SENSOR / SOURCE
↓
WRITE-PATH CANONICALIZATION
↓
PERSISTENT MASTER FRAME REFERENCE
↓
DERIVED VIEWS / RENDERING / AI / XR / DEVICE CONTEXTS
ARCHITECTURAL PRINCIPLES
Write-Path Canonicalization
Defined coordinate relationships are established during initial data ingestion, rather than repeatedly reconstructed downstream.
Persistent Spatial Reference
Spatial relationships are designed to remain available independently of changing orientation, aspect ratio, viewport, rendering, or device context.
Deterministic Viewport Derivation
Views and spatial operations are designed to derive from a persistent reference rather than requiring repeated coordinate redefinition.
System-Level Applicability
The architecture is intended for evaluation across high-performance imaging, display, machine perception, XR, robotics, automotive vision, and other spatial-computing systems.
CURRENT STATUS
Patent Applications Pending
Core concepts are being documented and evaluated through technical models, simulations, and ongoing implementation work.
Master Frame Technologies is selectively engaging qualified organizations regarding technical evaluation, design-partner discussions, platform licensing, and strategic partnerships. The Company is also engaging qualified seed investors with relevant deep-technology, infrastructure, or spatial-computing experience.
STRATEGIC ENGAGEMENT
We welcome inquiries from:
Semiconductor, systems, and platform organizations
Imaging, display, machine-perception, and spatial-computing teams
Qualified technical collaborators and design partners
Strategic partners, technology partners, and licensing counterparties
Seed investors with deep-technology, infrastructure, or spatial-computing focus
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MASTER FRAME TECHNOLOGIES, INC.
Patent applications pending. Proprietary technical information is shared selectively and, where appropriate, under confidentiality arrangements.
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