IA_AUT_ECO is a French Deep Tech initiative built on 45 years of technical expertise and 20+ years of Unix/Linux systems engineering. We provide a sovereign, full-stack infrastructure—from the hardened operating system to federated analytics—designed to empower people with disabilities through high-security robotics and ethical AI.

Winterhold is the secure foundation of our ecosystem. As a specialized fork of FreeBSD, it provides the kernel-level isolation and deterministic execution required for life-safety autonomous agents.

• Security: Native integration of Capsicum and Jails for agent sandboxing.
• Resilience: Real-time priority management via the Hearthfire kernel module.
• Integrity: Zero-Trust architecture enforced at the driver level.

IA_AUT_ECO is committed to the highest standards of open-source supply chain management. We align our operations with the OpenChain Specification (ISO/IEC 5230:2020) to guarantee legal transparency and security.

• Infrastructure (Ivarsread): Licensed under Apache License 2.0 for institutional interoperability.
• OS Core (Winterhold): Hardened FreeBSD fork following the original permissive BSD license structure with proprietary security enhancements for the commercial layer.
• AI Assets: All deep learning models follow an OpenChain-compatible traceability matrix (Licenses: MIT, Apache 2.0).

• SBOM (Software Bill of Materials): We maintain a comprehensive inventory of all third-party components and neural weight origins.
• DCO (Developer Certificate of Origin): All contributions must be signed-off (git commit -s) to certify code provenance.
• Vulnerability Management: Strict adherence to our SECURITY.md protocol for coordinated disclosure.

Candidate for LF AI & Data (Linux Foundation), Ivarsread is a federated analytics server providing institutional-scale insights while maintaining 100% data residency on-premise.

The proprietary user interface layer, providing a secure and accessible bridge between the end-user and Winterhold-powered agents.

• DAWNSTAR: Autonomous mobility (OSM-native).
• ESBERN: High-precision robotic manipulation.
• VESTA: Behavioral anomaly detection for patient safety.

• Edge-Only AI: No sensitive data ever leaves the local Winterhold environment.
• Federated Learning: Model improvements are aggregated anonymously via Ivarsread.
• AI Act Readiness: The Ysgrammor protocol ensures full causal traceability for every autonomous decision.

IA_AUT_ECO operates under a technical meritocracy. We invite collaboration from experts in:

• Hardened Unix kernels (FreeBSD/HardenedBSD).
• Federated Learning and Edge AI optimization.
• ISO/IEC 5230 compliance and Open Source legal engineering.

The AEGIS (Auditable Engineering Governance for Intelligent Systems) framework is not designed as a mere software library, but as the operational implementation of an engineering doctrine dedicated to critical and sovereign systems. Its architecture is built upon three documentary and normative pillars:

The development of this framework strictly follows the six methodological blocks defined in the AEGIS White Paper v1.0. This approach ensures full traceability between regulatory requirements—specifically the EU AI Act—and technical implementation.

Reference: AEGIS: A Compliant, Sovereign and Auditable AI Engineering Method by Design (February 2026).

Focus: Algorithmic determinism, system isolation, and continuous auditability.

In response to global demographic transitions and the increasing strain on healthcare infrastructures, AEGIS prioritizes total system autonomy. The choice of the FreeBSD kernel and Edge-AI (local) execution addresses the requirement for service continuity without dependence on extraterritorial cloud infrastructures.

Reference: From the Japanese Sentinel to European Resilience: Strategic Architecture of Sovereign AI and Inclusive Robotics (February 2026).

Focus: Safety (operational reliability), resilient distributed systems, and protection of health data.

Sovereign_AI_Transhumanism.pdf From_Japanese_Sentinel_to_European_Resilience.pdf AEGIS_WhitePaper.pdf

The integrity of the framework is governed by the OpenChain (ISO/IEC 5230) standard. Every component, from low-level C++ layers to Java/Go interfaces, is subject to a software supply chain compliance audit (Software Bill of Materials - SBOM).

Reference: Sovereign Artificial Intelligence in Service of Autonomy and Inclusion (February 2026).

Focus: Supply chain transparency, alignment with the AI Act (Articles 9 to 17), and systemic risk management.

Founder: Polyglot Programmer (C/C++, Python, SQL) | Unix Expert since 1977. Location: Meaux, France. Contact: contact@iaauteco.ovh