MILO public record
A consolidated, independently verifiable record of the work behind the Modular Intelligent Learning Orchestrator. Wherever a public source exists, the item links to it directly; the few items that are confidential by nature say so.
Each section links to its source.
Author identity
Jorge Enrique Flores Montano. ORCID iD 0009-0003-1859-8418. Founder, JM Automated Solutions, Carlsbad, California. M.S. Industrial Engineering, New Mexico State University, December 2018, with a concurrent Graduate Certificate in Public Utilities Regulation Economics from NMSU's Center for Public Utilities.
Federal engagement — U.S. Department of Energy
The author submitted a public Request-for-Information response to the U.S. Department of Energy's Genesis Mission, established by Executive Order "Launching the Genesis Mission," signed November 2025 and published in the Federal Register on 2025-11-28. The submission is a unilateral RFI response; it does not constitute endorsement, partnership, contract, or selection by DOE.
DOE submission identifiers on file: MILO-ES-2026-002 and MILO-ES-2026-003-DOE.
Intellectual property — U.S. Patent and Trademark Office
Two federal IP filings are pending:
- USPTO Trademark — Serial No. 99706004, mark
~MILO™. Intent-to-use application, examination pending. Status verifiable via the USPTO Trademark Status & Document Retrieval (TSDR) system. - USPTO Provisional Patent — Application 63/993,825, patent-pending status. (Provisional applications are confidential during pendency; verification is available privately on request.)
Architectural reference — concept DOI
The architectural reference for Modular Intelligent Learning Orchestrator, archived on the CERN-backed Zenodo open-archive with a permanent DOI:
10.5281/zenodo.20117025 — MILO - Modular Intelligent Learning Orchestrator: A Public Architectural Reference.
Published articles — five companion architectural papers
Five companion architectural papers on adaptive AI for high-consequence industrial-control environments, each with a permanent DOI on Zenodo, all published 2026-05-11. Each article is independently archived; the architectural reference (above) ties the series together.
Open-source reference implementation
A public reference implementation under CC BY 4.0 license, with topic tags aligning the work to recognized federal and international standards frameworks (NIST AI RMF 1.0, EU AI Act, ISA-IEC 62443, DOE Genesis Mission, NIST SP 800-82r3, OT cybersecurity, human-in-the-loop AI).
Peer-review engagement — IEEE Transactions on Industrial Informatics
Manuscript TII-26-4335, submission of Article 2 (Latency-Aware Authentication in Industrial Control Environments), is currently in editorial review at IEEE Transactions on Industrial Informatics — a Q1 international peer-reviewed journal in the industrial-informatics field. The journal's editorial portal confirms the submission. Submission is not acceptance; the active editorial review is itself independently verifiable.
Live production deployment — GetAdvice
GetAdvice is a voice-first AI advisor built on MILO, live at getadviceapp.com.
Industrial deployment record — seven years across four sectors
Approximately seven years of documented industrial automation deployments across food, beverage, pharmaceutical, and medical-device manufacturing. References from regulated manufacturing environments are available privately on request; we do not publish customer names or deployment details.
Verification index — open these to confirm everything above
Every public claim on this page can be verified by following the links below.
- Concept DOI: https://doi.org/10.5281/zenodo.20117025
- Article DOIs: 10.5281/zenodo.20117647, 10.5281/zenodo.20117651, 10.5281/zenodo.20117662, 10.5281/zenodo.20117703, 10.5281/zenodo.20117716
- Open-source code: https://github.com/jmontano1/milo-architecture
- ORCID: https://orcid.org/0009-0003-1859-8418
- USPTO TSDR Trademark 99706004: tsdr.uspto.gov
- DOE Genesis Mission EO: Federal Register 2025-11-28
- Live GetAdvice production: getadviceapp.com
This page is a public record, not a legal document. It is intended to make the author's substantive work independently verifiable by any external reviewer. Confidential materials (signed expert letters, the USPTO provisional patent file wrapper, DOE submission contents, and the IEEE manuscript file) are shared privately on request.