Spatial Data Pipeline Automation

Automate Heavy Spatial And Sensor Work. On Your Own Hardware.

Point clouds, photogrammetry, and sensor feeds, processed on the machines you already own. Nothing leaves your network.

Two weeks. You keep the workflow either way.

  • 100% local, air-gapped ready
  • Runs on any GPU or CPU mix
  • SHA-256 file hashing

Same Work. A Fraction Of The Time And Hardware.

Edge Capture

Hess Corp

High-density field scans and photogrammetry captured off-grid.

Before

  • Crews outside signal range
  • Manual drive transfers
  • Work stalled in the field

After

  • Continuous offline capture
  • Queues itself on reentry
  • 6 months, zero field data loss

Dense photogrammetry starts processing the second signal returns.

Spatial Acceleration

Sony

Large-scale 3D mesh rendering and file batching under a hard deadline.

Before

  • 7 servers
  • 5 people
  • 3-week processing cycle

After

  • 1 machine
  • 1 GPU
  • Under 24 hours

They cleared the rendering bottleneck and kept their deadline.

Digital Twins & IoT

Arkansas State University

Continuous equipment sensor data running with nothing to triage it.

Before

  • Faults found after the damage
  • More sensor data than anyone could check
  • Manual inspection lag

After

  • Sensor feeds merged in real time
  • Predictive defect alerts in 6 weeks
  • CDAO PMx aligned

They stopped looking for damage after the fact and started preventing it.

Real-Time Playback & Sensor Fusion

iDrive VR / Stealth Products

Fusing U.S. Army Abrams MBT drive controllers with interactive 3D spatial tracking.

Before

  • Heavy manual setup for 3D tracking
  • Unverified spatial geometry
  • High clinical overhead

After

  • Real-time 3D geometry validation
  • STE-grade tracking in 200+ clinics
  • Zero setup overhead

They turned military-grade drive telemetry into a spatial app that scales.

Swipe for more

See More Ways Teams Use MOD

Audit-Ready Records For Every File And Every Step

Right now, proving how a dataset was produced means reconstructing it from memory, file timestamps, and whoever happened to run it.

MOD records every file, every step, and every person who touched it, as the work runs. The record cannot be altered after the fact, and it hands to an auditor as-is.

Deployment Without Infrastructure Friction

Your Hardware. Your Building. Your Data Never Leaves.

Any compute you own

GPU, CPU, NPU, LPU, and whatever mix of vendors you ended up with. MOD uses what is in the building rather than asking you to standardize first.

Or no GPUs at all

Plain machines work too, including the workstations nobody counts as part of the estate.

No internet needed

It installs inside your own network and keeps working with no outside connection at all.

We never train on your data. Not at any price.

Who Believes In MOD

Sony Pictures ImageworksNBCUniversalParamountKPMGIntelNVIDIAAMDHP

The Two-Week Production Pilot. $5,000.

We deploy one production-ready workflow on your hardware, alongside your engineering team in the room watching us do it, so they can build the next one without us.

  • Risk-free: if it isn't running in two weeks, you get your money back.
  • Ownership: you keep the completed workflow either way.
  • Credit: part of what you paid applies toward an annual license.

Licenses run $15,000 to $100,000+ a year depending on how many GPUs you run and how many people build workflows.