AI agents that live inside your institution, not in someone else's cloud.

Domain agents for organizations that can't let their information leave.

Let's talk about your case

How it works

Your local models do the work. Frontier intelligence perfects the method. You keep what's learned.

Phase 1 · Calibration

Frontier intelligence Outside your institution
Start Prepares the task instructions.
Execution Does not take part in the work rounds.
Close Independently verifies the result and proposes process improvements.
You decide what it sees Task instructions No exchange Result · improvement proposal
Your infrastructure Inside your institution
Start Receives the task instructions.
Execution The local model does the work. An orchestrator directs the attempts, with explicit limits on attempts and time.
Close A person on your team reviews each proposed improvement. It only goes in if they approve it.

Execution and knowledge (rules, history and repository) live in your infrastructure.

  1. It runs in-house

    The local model does the work inside your infrastructure, with limits on attempts and time.

  2. The method gets better

    Frontier intelligence (the most advanced AI models, like the ones behind ChatGPT or Claude) steps in only at the start and at the close: it doesn't do the work, it reviews how it was done and proposes process improvements.

  3. You approve what's learned

    Each improvement becomes a rule backed by evidence, and it only goes in if a person on your team approves it.

Phase 2 · Operation

Frontier intelligence Outside your institution
Periodically Acts as an auditor: evaluates your team's feedback on the results.
You decide what it sees Feedback on the results
Your infrastructure Inside your institution
Day to day The calibrated local model operates on its own.

Lab test In the lab: 3 iterations, 17 of 17 tests passed, zero use of the frontier model during execution.

Why it matters

We don't install software that becomes obsolete. We build an asset that gets smarter every day it operates.

Traditional software

  1. Installed
  2. Ages
  3. Replaced

ISOTRX agent

  1. Installed
  2. Learns
  3. Gains value

The knowledge stays with you

What your agent learns survives staff turnover and model changes.

Every rule has an author and a reason

Who approved each rule, and why, is on record. Traceability ready for audit.

Who it's for

Designed for Mexico's reality: your regulation, your language, your processes.

For organizations that can't let their sensitive information leave.

Because of regulation

Finance, healthcare and government.

Because of confidentiality and ISO standards

Manufacturers that safeguard their customers' manuals and intellectual property.

Our first product

PromptShield

Your organization already uses AI, but without guidance, without rules and without any audit of how it's used. PromptShield governs that use: it doesn't filter words, it watches the context in which each person works with AI, with institutional rules and an auditable record.

Built for banking and manufacturing.

See how PromptShield works →

Request a demo

PromptShield is the first. The same model adapts to your industry's processes.

Infrastructure

From the infrastructure to the agent in operation.

We sell AI infrastructure from Dell and Lenovo, from a compact unit to a full cluster.

  1. Compact AI unit

    Our standard, based on NVIDIA GB10.

  2. Higher-capacity systems

    For large workloads.

  3. Full cluster

    When the operation requires it.

The method that runs on top

PLAYBOOK

It's what makes everything above work: your domain's process, distilled into rules approved by your team. It builds up with every day of operation and lets you change models without losing what you've built.

Contact

Let's talk about your case

Lesli González · lesli@isotrx.com

Monterrey, Nuevo León, Mexico

We respond in Spanish and English.

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