Engineering workspace with multiple displays showing AI workloads

Capabilities

What We Run Today

Not slideware. This is infrastructure we own, operate, and put to work — on our premises, under our control.

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.

  • On-premises
  • Air-gap capable
  • Scan to print
  • Owner-operated

6

Operational Capability Lines

0

Network Connections in the Edge Stack

100%

Infrastructure Owned Outright


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.

Fully Offline Edge AI

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.

3D Scan-to-Print Pipeline

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.

Agentic AI Systems

Multi-step AI agents that research, write, monitor, and act across real toolchains — the automation layer we use internally and deploy for clients.

Deep Research Pipeline

An AI-driven research capability that sweeps, reads, and synthesizes technical literature and market data into decision-ready reports — running on our own infrastructure.

Robotics & Reinforcement Learning

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.

Why On-Premises Matters

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.

Put this capability to work →

Need AI That Stays on Your Premises?

We design and deploy the same private, offline-capable AI systems we run ourselves.

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