MILO public record
A consolidated, independently verifiable record of the work behind the Modular Intelligent Learning Orchestrator. Every item below resolves to a public source you can open directly.
This page exists so that an external reviewer — including a U.S. Citizenship and Immigration Services adjudicator evaluating an EB-2 National Interest Waiver petition — can verify the substantive evidence for Modular Intelligent Learning Orchestrator without relying on narrative description. Each section is sourced.
Petitioner 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 petitioner 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. The substantive technical engagement with a federal program of national importance — independent of any acceptance decision — is offered under the substantial-merit-and-national-importance prong of Matter of Dhanasar, 26 I&N Dec. 884 (AAO 2016).
Intellectual property — U.S. Patent and Trademark Office
Two pending federal IP filings document the petitioner as originator of patentable adaptive-AI subject matter:
- 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 through counsel-mediated channels.)
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 the time-of-filing evidence.
Live production deployment — GetAdvice
GetAdvice is a voice-first AI tutor product built on the MILO Orchestrator. The production deployment is live on the public domain. Detailed runtime, provider, and health-route evidence stays out of the public record page and remains available through private operational channels if counsel needs it.
Industrial deployment record — seven years across four sectors
Approximately seven years of documented industrial automation deployments across food, beverage, pharmaceutical, and medical-device manufacturing. Counsel-held evidence includes customer-side operational corroboration from regulated manufacturing environments. The public page avoids private customer names, exact letter metadata, detailed deployment metrics, and affidavit status.
Verification index — open these to confirm everything above
Every claim on this page can be independently verified by following the links below. None of the evidence depends on accepting the petitioner's narrative.
- 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 petitioner's substantive work independently verifiable by any external reviewer. Counsel-mediated channels remain the authoritative path for documents that are confidential (signed expert letters, USPTO provisional patent file wrapper, DOE submission contents, IEEE manuscript file).