Our mission
AI is increasingly given tools — shell access, file systems, network calls, databases. One bad instruction, whether malicious or accidental, can delete data, exfiltrate secrets, or compromise infrastructure.
The industry’s answer has been to throw more AI at the problem: LLM judges that cost dollars per thousand calls, hallucinate under pressure, and can be socially engineered. When the cost of a wrong call is catastrophic, “probably safe” isn’t a verdict — accountability is.
We believe there’s a better way.
Deterministic policy makes the same decision every time, with a trace a human can audit — and as a measurable side effect, it’s efficient: every unnecessary model invocation burns electricity, and a single GPT-4 inference consumes roughly the energy of a Google search.
And this is not only an AI story. Shell scripts, CI pipelines, and automation have been executing dangerous instructions since long before LLMs existed. AI didn’t invent the problem — it multiplied the blast radius. We build tools that help AI, and not only AI.
What we believe
Security boundaries should be deterministic. When the cost of being wrong is catastrophic, 99.9% accuracy isn’t good enough. The same input must produce the same output, every time. No probability. No hallucination. No distribution shift.
Efficiency is a virtue. If a decision can be made in 15 microseconds on a single core, it shouldn’t cost a dollar and burn a datacenter watt. The environmental cost of “just ask the model” is real and growing. We build tools that replace expensive model calls with efficient, deterministic inference.
You should own your policy. Your security rules shouldn’t live in someone else’s cloud. Our tools run on your hardware, with your policy file, under your control. No telemetry. No phone-home. No subscription requirement for the core functionality.
Transparency over marketing. Source ships to licensees under a commercial license — you can read every line of the mapper, the Rete network, the policy compiler. There’s no secret sauce — just careful engineering.
The company
EL AI Intelligence, LLC is a Maryland limited liability company. We’re a one-person company. We don’t have venture funding, we don’t have growth targets, and we don’t have plans to sell. We build tools we believe in and license them honestly.
We build the ELLM stack — a family of products powered by a shared deterministic reasoning kernel:
- Guardrail — a deterministic agent firewall that classifies tool calls in 15µs (p50). In beta.
- Engram — an encrypted, local-first memory vault with biology-inspired decay. In beta, free and installable today.
- Amparo — an open agent that acts under policy. In beta — Guardrail is its policy engine, Engram its memory.
- ELLM — the reasoning engine underneath Guardrail and Engram. Not a product — the technology the products above are built on.
All three share the same architecture: content-addressed frames, deterministic forward-chaining, and full audit trails. We believe the layer of certainty underneath AI should be inspectable, verifiable, and yours.
We’re often pegged as an AI tools company. More precisely: we build deterministic tools that help AI — and not only AI. The same safety and memory tooling serves humans, scripts, and pipelines.
The network
Everything we run, in one place:
| Property | What it is |
|---|---|
| elai-intelligence.com | This site — the company and the story |
| console.ellmstack.dev | Guardrail operator console — sign in, plans, keys |
| elai-intelligence.com/demo | Guardrail demo — a recorded walkthrough, no signup |
| engram.ellmstack.dev | The Engram vault — memory for AI agents |
| amparo.ellmstack.dev | Amparo — the agent that acts under policy |
| github.com/El-AI-Intelligence | Guardrail and Engram source |
One company, one engine, one set of measured numbers — wherever you land.
Contact
For commercial licensing, enterprise deployments, or just to talk about deterministic systems: Elai-intelligence@pm.me.