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The CyberAGI Thesis · For Defense Investors

Artificial general intelligence.
For America’s cyber defense.

The next leap in AI lives in data that cannot move, just as the models everyone rents are turning risky to depend on. Nothing is more guarded than defense telemetry. Excalibur learns where it lives, on hardware you own.

Defense
General Atomics runs it in production
$500K
services book run 100% on Excalibur
3 sectors
defense · government · MSP
Zero
bytes leave the building
OUR CUSTOMERS
General Atomics
Ultramain
City of Los Lunas
Loial

“I was initially skeptical about AI’s impact on the cybersecurity industry, until I started working with Excalibur.”

Cody Jackson · Principal Engineer, Loial Inc NVIDIA Inception
01 · PROOF

Deployed where trust is hardest to earn.

In production at General Atomics, Ultramain, and the City of Los Lunas. Loial replaced its vendor stack and runs a $500K services business entirely on Excalibur. Weekly field learning goes straight back into the product.

02 · THE WALL

Open data is spent. What matters next cannot move.

The richest training signal left is live defense telemetry, the record of real attacks and real defenses. No contractor will ever send that to a cloud model. And the cloud models themselves are turning risky to build on, rate-limited, deprecated, and repriced at will. The playbook everyone else runs cannot reach the data, and cannot be trusted to hold.

03 · THE INVERSION

We move the intelligence to the data.

Local hardware, local models. The intelligence lives and learns inside the customer’s walls, and nothing ever leaves. The property that locks everyone else out is the property that lets us learn. The wall becomes the doorway.

04 · THE MOAT

American-made, end to end.

We build the whole stack: hardware, model, software, and fleet. Each layer is harder to copy than the last, and the model gets more theirs every year. To follow us, an incumbent would have to become a hardware and fleet company. They won’t.

Hardware Model Software Fleet
05 · WHY NOW

The security industry runs your defense on frontier models it rents. That bet is breaking.

The economics inverted and the trust eroded at the same moment the data that matters moved out of the cloud’s reach. The market is being forced toward AI that organizations own and run themselves. We are already deployed on the other side of that shift.

The case for sovereign AI, right now
Three forces converging
Tokenomics inverted
Metered AI costs track usage, not outcomes. At scale you can spend more than you ever get back.
Frontier trust eroded
Rate limits, deprecations, and price hikes land without notice. No one runs critical defense on rented infrastructure.
The sovereign turn
Data gravity, policy, and these economics all point one way: AI that lives inside the organization.
06 · WHY US

I spent a decade inside enterprise security, waiting for a vendor to fix it. None did. So I built it.

For more than ten years I ran security inside large enterprises, and I lived the same problem every day. The tools never matched the pain. I pushed vendor after vendor to build what my teams actually needed, and they handed back roadmaps and sales decks. So I stopped asking and built the product I had needed the whole time.

Our first customers felt the difference right away. That pulled in a team of people who had lived the same problem, and we are building the company we wish had existed.

Shubham Khichi · Founder & CEO
A decade defending enterprises at
Fidelity Investments
SolarWinds
Expedia Group
07 · THE HORIZON

A sovereign intelligence inside every organization that defends America.

Excalibur keeps learning on data no adversary can reach and no rival vendor can touch. American cybersecurity gets stronger with every deployment.

CyberAGI· Sovereign AI for cybersecurity.
Designed in America