
Secure GPU workflows, wherever your data lives — 2.6x faster, fully on-prem.
Confirmed by founderMod Tech Labs builds an on-premise compute orchestration platform for energy, defense, and heavy industry. The MOD Engine runs demanding 3D spatial and AI workloads 100% locally — no cloud, no egress fees, no compliance risk — by intelligently harvesting idle GPU and CPU capacity across heterogeneous NVIDIA, AMD, and Intel hardware organizations already own. Purpose-built for air-gapped CMMC, ITAR, and EPA environments, it replaces brittle YAML pipelines with a no-code workflow builder that executes spatial workloads 2.6x faster than Apache Airflow, with a built-in cryptographic audit ledger for automated chain-of-custody compliance.
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Alex Porter
founder
Processing high-density 3D spatial data, digital twins, and AI workloads forces enterprises and defense operators into a costly trade-off. Cloud-centric architectures trigger unsustainable data egress fees, severe network latency, and critical compliance vulnerabilities. Failing entirely in air-gapped or remote field environments. At the same time, legacy on-premise orchestration requires constant custom glue code, complex YAML engineering, and manual compliance tracking, leaving data teams bogged down in administrative friction. Meanwhile, millions of dollars in existing, floor-level GPU and CPU hardware sit underutilized across workstation fleets because traditional systems cannot easily harvest heterogeneous compute resources.
The MOD Engine orchestrates complex 3D spatial and AI pipelines 100% on-premise with zero cloud dependency, using a no-code/low-code interface that eliminates YAML and custom scripting. It intelligently dispatches workloads across idle NVIDIA, AMD, and Intel GPU/CPU resources already on the floor — unlocking stranded capacity that allows customers to cancel hardware CapEx orders entirely. Execution is 2.6x faster than Apache Airflow, and an integrated SHA-256 cryptographic audit ledger delivers real-time, tamper-evident chain of custody, automating CMMC, ITAR, and EPA compliance reporting. The platform operates fully air-gapped, including in remote and field environments with intermittent or zero connectivity.
Mod Tech Labs has spent six years hardening its platform on real production work, not demos. Revenue model: software-enabled services transitioning to licensed software, with enterprise/DoD site licensing at a flat-rate ROM of $250K–$350K. Named production deployments span Sony, NBCUniversal, and Paramount (high-throughput spatial/image processing under real deadlines — where the platform was hardened), Hess Corporation (6-month disconnected field deployment, zero data loss), Arkansas State University (6-week edge IoT deployment for predictive maintenance, aligned to DoD CDAO PMx standards), and Stealth Products (200+ clinics, real-time VR training using U.S. Army Abrams MBT-grade drive controls). Founder-led and technically deep: Alex Porter (CEO) brings commercial strategy and standing relationships across the NVIDIA, Intel, and AMD ecosystems, plus direct delivery relationships with Sony and Paramount — a Forbes NEXT 1000 Honoree and Intel Top Innovator. Timothy Porter (CTO) architected MOD's orchestration and trust layer with a decade of high-performance pipeline work at Sony Pictures Imageworks and Gameloft, and is the former Vice-Chair of the CTA's XR Standards board. The two-person founding team is backed by advisors including Travis Oliphant (creator of NumPy/SciPy, founder of Anaconda) and Taylor Dolezal (CNCF, cloud-native orchestration for edge/constrained-bandwidth environments) — all under signed agreements. Against alternatives like Rescale and Altair (cloud-brokered HPC — requires data leaving the facility) or Kubernetes-based edge orchestration (heavy custom YAML/glue code, no built-in provenance), MOD is the only option offering 100% air-gapped local execution, heterogeneous GPU/CPU/NPU/LPU harvesting on hardware already owned, and a SHA-256 cryptographic audit ledger built into the scheduler itself — not bolted on.

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