Technical Architecture And Pipeline Execution.
How MOD compiles workloads, isolates execution, and maintains cryptographic audit trails across heterogeneous hardware.
Three Steps.
Define the pipeline.
Describe the job in plain language, or hand over the specs: take in raw point clouds, check the geometry against your tolerances, convert the formats, and send the result where it needs to go. No glue code, and nothing new to stand up first.
MOD builds the workflow.
MOD works out the stages and connects the tools you already run. Where you rely on a specialized tool, script, or SDK, it calls that directly rather than replacing it. Where a piece is missing, it builds that piece, shows you the finished pipeline, and waits for an engineer to approve it.
It runs, and it writes it down.
Once approved, the work is handed out across whatever hardware is free, from your GPU nodes down to the engineering workstations sitting idle. You get finished, engine-ready output and a record of every transformation that nobody can edit after the fact.
ingest raw scanvalidate geometryoptimize mesh / point cloudflag anomaliesdeliver to target engine
What That Looks Like.
The Details Your Engineer Will Ask For
Heterogeneous hardware compilation
Native compilation across NVIDIA, AMD and Intel GPUs, CPUs, NPUs, LPUs, and the mixed vendor fleet six years of purchasing decisions left you with. MOD treats a mismatched estate as a single distributed compute pool rather than three that have to be scheduled separately.
Isolated runtime containerization
Every step executes in its own container. A failure does not cascade through the rest of the run, and a step requiring a different library version does not force a dependency decision on everything else in the pipeline.
Cryptographic provenance and RBAC
SHA-256 hashing on every file, so tampering with a raw scan, point cloud or model surfaces immediately. Role-based access control governs execution, and every action is written to an append-only audit trail that cannot be edited after the fact.
Disconnected and air-gapped deployment
Installs natively inside a private network or onto field hardware. No outbound internet connection and no API phone-home is required for any part of the system to operate.
Human-in-the-loop approval
MOD assembles the proposed pipeline and presents it for engineering authorization before execution. The approved pipeline then runs deterministically: the same workflow, the same way, every time. It does not make autonomous decisions about your data.
Execution performance
Runs 2.6x faster than Apache Airflow on identical payloads by eliminating orchestrator overhead. This is last on the list on purpose. Against the hardware question above, throughput is a footnote.
What MOD needs to run depends on how you deploy it and which features you turn on. We size it against your actual hardware during the pilot, before you commit to anything.
Deterministic Proof For Enterprise Audits
Every file is hashed with SHA-256, so any change to it shows immediately. Access runs on roles (RBAC), so the record also holds who was allowed to touch what, and when. It's a real audit trail, not a log file someone can quietly edit afterward.
raw_asset.laz (SHA-256)RBAC validationcontainerized processingverified_output.usd (SHA-256)append-only ledger
You Probably Don't Need More Servers
Look At What You Own Before You Buy More.
One customer had already picked the vendor and sized the order. We looked at what they owned first. The machines were sitting idle most of the week, because the work simply wasn't being handed out well, so half of them waited while the other half queued. We fixed how the work got distributed. They bought nothing.
If a purchase order for more machines is sitting on your desk, let us look at what you already own first. It takes two weeks, and more often than not it saves the order entirely.