Abstract
This document, produced with the assistance of ChatGPT o3 and ChatGPT 5 Thinking, is released under the Apache 2.0 licence. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes: art. L 611-11 CPI (French Intellectual Property Code), art. 54(2) CBE (European Patent Convention), and 35 U.S.C. §102(a) (United States Patent Act). It discloses 140 enabling innovations covering devices, methods, causal experimentation OS, ROI ledgers, digital twins, connectors, calibration-as-a-service, compliance automation, ESG/supply-chain coupling, and biomedical/medtech transpositions. Every proposal is described in an enabling manner, classified with IPC and CPC codes, and accompanied by timestamp proof (RFC 3161 / FreeTSA). This corpus provides defensive prior art to mitigate patent thickets and sustain open interoperability in PES. Original Zenodo url: https://zenodo.org/records/17182748
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Pillet, Xavier, "Unified Framework to Boost ROI in Product Engineering Services (PES)", Technical Disclosure Commons, (October 01, 2025)
https://www.tdcommons.org/dpubs_series/8660