Private AI Research Cluster
A multi-GPU, on-premises AI cluster for training, fine-tuning, and running large models entirely in-house. Client data and models never leave hardware we control — no cloud dependency, no third-party exposure.
The distance between a vision of autonomous systems in orbit and the reality of building them is measured in ground infrastructure. Over the past several years we have built ours: private AI compute, a fully offline intelligence stack, and a digital-to-physical pipeline that takes an object from scan to reprinted part. Everything below is operational today.
6
Operational Capability Lines
0
Network Connections in the Edge Stack
100%
Infrastructure Owned Outright
A multi-GPU, on-premises AI cluster for training, fine-tuning, and running large models entirely in-house. Client data and models never leave hardware we control — no cloud dependency, no third-party exposure.
A complete speech-to-speech AI stack — speech recognition, reasoning over a local knowledge base, and voice synthesis — running on embedded edge hardware with zero network connection. Built for air-gapped, disconnected, and bandwidth-denied environments.
High-resolution 3D scanning, a portable field-scanning rig, and in-house additive manufacturing close the loop from physical object to digital model to printed part — the foundation of our manufacturing roadmap.
Multi-step AI agents that research, write, monitor, and act across real toolchains — the automation layer we use internally and deploy for clients.
An AI-driven research capability that sweeps, reads, and synthesizes technical literature and market data into decision-ready reports — running on our own infrastructure.
An active R&D program in deep reinforcement learning and robotics — training control policies on our cluster and moving them onto physical hardware. Early stage, moving fast.
Every capability above shares one design decision: it runs on hardware we own. For government-adjacent work, that means data sovereignty and a clean compliance story. For the missions we're building toward, it means the same discipline a spacecraft demands — systems that work without a connection, without a cloud, and without excuses.
We design and deploy the same private, offline-capable AI systems we run ourselves.
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