Case Studies: How Teams Deploy MOD.

Different architectures. Heterogeneous hardware. The same core challenge: complex spatial workflows trapped in manual steps, fragmented toolchains, and offline bottlenecks. MOD converts hand-handled files into deterministic, automated pipelines that execute locally, across edge devices, or over distributed compute clusters.

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Photogrammetry & Edge Capture

Hess Corp

Challenge: Capture crews working outside network range, stalling downstream processing until data was physically transported back to base.
Execution: Deployed lightweight MOD runtime nodes directly to edge hardware, maintaining pipeline execution and local queuing with no network dependency.
Result: Six months of continuous zero-downtime field operations, with data syncing automatically the moment connectivity is restored.

Digital Twins & Sensor Fusion

Arkansas State University

Challenge: Continuous equipment telemetry arriving faster than anyone could review it, with faults surfacing only after the damage was done.
Execution: Automated ingestion and fusion of multiple sensor feeds into a single real-time stream, with defect thresholds evaluated as data arrives rather than in retrospect.
Result: Predictive defect alerts running in 6 weeks. CDAO PMx aligned.

Automated Spatial Pipelines

Sony

Challenge: Large-scale 3D mesh rendering and file batching against a fixed delivery date, spread across 7 servers and 5 people on a 3-week cycle.
Execution: Automated the mesh rendering and batching steps into a single pipeline, compiled to execute on available GPU hardware instead of a coordinated server pool.
Result: Same output in under 24 hours on 1 machine and 1 GPU. The delivery date held.

Automated Spatial Pipelines

Medical imaging team

Challenge: Volumetric CT and MRI datasets locked in flat 2D DICOM slices, requiring manual multi-step 3D reconstruction routines.
Execution: Automated volumetric spatial extraction and mesh generation, outputting engine-ready 3D models straight into native viewing applications.
Result: Pipeline operational in 4 weeks, enabling instant multi-angle 3D inspection with no manual rendering delay.

Asset Provenance & Audit

Wacom and ETC

Challenge: Multi-party collaborative and generative workflows with no execution audit trail, making IP attribution impossible to prove.
Execution: Wrapped asset transformations in SHA-256 cryptographic telemetry that records every modification in real time.
Result: Immutable provenance from raw draft to final delivery, on a trail that cannot be modified after the fact.

Distributed Compute & Scheduling

Paramount

Challenge: Capital expenditure moving forward for new server racks while existing compute clusters sat underutilized across the organization.
Execution: Distributed rendering and transformation workloads across idle local nodes and the engineering workstation estate nobody had counted.
Result: Cancelled the new hardware procurement entirely, reclaiming thousands of idle compute hours for active production work.

Distributed Compute & Scheduling

NBC

Challenge: Large-scale asset segment processing requiring 30 outsourced specialists over 6 months to output a single deliverable.
Execution: Automated the repetitive asset preparation and compilation steps into one self-executing local pipeline.
Result: Scaled to 7 finished segments in under 30 days, on the existing in-house team and the same budget.

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