Company
Public record
Filings, DOIs, and sources you can open. Confidential items stay private and 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 petitioner transmitted two submissions related to MILO to the U.S. Department of Energy's Genesis Mission intake channel, established by Executive Order "Launching the Genesis Mission," signed November 2025 and published in the Federal Register on 2025-11-28 (90 Fed. Reg. 55035). The public record reflects transmission only. It does not constitute endorsement, partnership, contract, selection, or funding by DOE. Subject-matter alignment with Genesis Mission priority areas is asserted by the petitioner and is not presented as DOE acknowledgement or adoption.
DOE submission identifiers on file (same pair used in the petitioner's federal immigration record): MILO-ES-2026-002 (March 2026) and MILO-ES-2026-003-DOE (May 2026).
Intellectual property U.S. Patent and Trademark Office
Two federal IP filings are pending:
- USPTO Trademark Serial No. 99706004, mark
~MILO™. Intenttouse application, examination pending. Status verifiable via the USPTO Trademark Status & Document Retrieval (TSDR) system. - USPTO Provisional Patent Application 63/993,825, patentpending 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 CERNbacked Zenodo openarchive 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 highconsequence industrialcontrol environments, each with a permanent DOI on Zenodo, all published 20260511. Each article is independently archived; the architectural reference (above) ties the series together.
Open-source reference implementation
A public architectural reference under CC BY 4.0 (text/docs), 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). Runnable stdlib demos illustrate audit-first command flow and supervisory override. Independent verification: VERIFY.md and CLAIMS.md in the repository.
Peer-review channel engagement IEEE Transactions on Industrial Informatics
Manuscript TII-26-4335 (Article 2, Latency-Aware Authentication in Industrial Control Environments) was transmitted to IEEE Transactions on Industrial Informatics, a Q1 peer-reviewed industrial-informatics journal. Consistent with the petitioner's federal immigration record: this is a submission record only. No acceptance, peer-review assignment, or publication is claimed.
Live production deployment GetAdvice
GetAdvice is a voicefirst 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 medicaldevice 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
- Opensource 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 20251128
- 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.