The AI Cowboys

Services

Seven services. One perimeter.

Neuromorphic and physical AI lead, because that is what the lab is for. Everything below runs where your data already lives: on-premises, air-gapped, or in your own cloud. Delivered by a Service-Disabled Veteran-Owned Small Business in San Antonio.

01

Neuromorphic & physical AI

Perception that runs on watts, on the platform, in real time.

Brain-inspired processors put memory and compute together and run on events rather than a clock, so they draw power only when something happens. In our San Antonio lab, a hybrid Jetson-plus-Akida deployment held the same accuracy at 9W that the Jetson alone needed 120W to reach. That difference is what makes always-on perception deployable on a drone, a sensor or a satellite.

A walking robot drawn as an engineering figure, its sensor perception field mapped in front of it

In detail

02

Cybersecurity & AI trust

Prove a human is behind the session, continuously.

Agentic AI can operate any interface a person can, which breaks every control that assumed a human was on the other end. MagenTrust re-establishes identity throughout a session from entropy-based behavioral biometrics: how a person types, moves and hesitates. It cannot be phished and needs no second device. Human Exclusion Zones define where automation may act alone and where a verified person is mandatory, enforced by the system rather than by policy.

A keystroke-timing trace inside its confidence envelope, with one anomalous burst outside it

In detail

  • MagenTrust

    Continuous human verification via entropy-based behavioral biometrics.

  • Human Exclusion Zones

    System-enforced boundaries on where automation may act without a verified human.

03

Quantum computing

Quantum-ready architectures, and an honest transition plan.

Topology-on-Demand fabrics, co-packaged optics, and the work of moving a real algorithm from a classical implementation to a quantum one. Our CEO quite literally wrote the textbook, and the same team runs the NVIDIA DLI and IBM SkillsBuild training that gets engineering teams to the point where they can evaluate the claim for themselves.

Two wave sources interfering, the constructive fringes emphasized

In detail

04

Applied AI systems

Models tuned to your mission, deployed where your data already lives.

Small Language Models and agentic systems trained on your own corpus, plus the software engineering around them. Recognized by LlamaIndex and NVIDIA for our work on SLMs and agentic AI. Deterministic and explainable by design: the failure modes that keep conventional AI out of regulated production are the ones we engineer against. On-premises, air-gapped, or in your own cloud.

Model blocks inside nested enclave boundaries, signal paths stopping at the perimeter

In detail

05

Mission data

The data that makes any of the above trustworthy.

Synthetic datasets that clear compliance review, human-validated real-world data with sub-2% error rates, and a Topology-on-Demand fabric that reconfigures between simulation and large-scale training. HIPAA, GDPR and 21 CFR Part 11 where the mission is clinical.

A data lattice with a validated cluster ringed inside the raw set

In detail

06

Physical AI in practice

Digital Twins

A digital copy of a real physical object, place, or process, updated in real time by data from its own sensors.

The physical building, its structure, its systems, its sensor layer, and the live twin above them. Sensor readings flow upward; the model is never a snapshot.

07

Workshops

Hands-on training from an NVIDIA DLI & IBM SkillsBuild partner. We train federal, enterprise and research teams, and run free community workshops.

Sectors served

  • Healthcare and Medical Insurance
  • Federal and Public Sector
  • Food and Agriculture
  • Real Estate
  • Oil and Gas
  • Commercial Banking
  • Automobile Manufacturing
  • Retail
  • Information Technology
  • Manufacturing
  • Finance and Insurance

Field notes

AI and data intelligence,
from San Antonio.

Monthly notes on applied AI, synthetic and real-world data, and neuromorphic and physical AI, written for the people actually deploying them. No pitches.

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