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Browse filesIA_AUT_ECO présentation
README.md
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Edit this `README.md` markdown file to author your organization card.
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--- IA_AUT_ECO: The Augmented Autonomy Architecture (Open Source Deep Tech)
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IA_AUT_ECO is a Deep Tech startup based near Paris, France, dedicated to redefining the use of Artificial Intelligence and Robotics. Our mission is to build robust, open-source solutions for the daily lives and autonomy of disabled and invalid persons.
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We are building systems that guarantee digital sovereignty, social inclusion, and uncompromising security.
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Our Commitment: Open Source for All
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We are firm believers that the most critical assistance technologies (AI, Robotics) must be auditable and enduring. Our architecture is designed on an ethical Open Core model: the technical foundations will eventually be made public to guarantee full trust and accountability.
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The Core is Under Development: Our open-source systems are currently in the initial design and hardening phase. We plan to open up the foundational repositories for community auditing and contributions at a later date.
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Uncompromising Security: A Sovereign Digital Shield
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Trust is our currency. Our cybersecurity solutions are integrated by design, exceeding regulatory requirements.
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The Winterhold Foundational Architecture
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The Winterhold ecosystem is our comprehensive offering, built upon several critical components, all currently under active development:
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Hearthfire : The Hardened Security OS. A core operating system (forked from FreeBSD) for local deployment and robotics, emphasizing Security by Design, Zéro Trust (ZTA), and PQC Readiness.
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MASAQ : The AI Orchestrator. Manages the secure and auditable execution of Deep Learning models. Focuses on SLM optimization and Knowledge Graph management.
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Ysgrammor : The Ethical Audit System. Provides complete observability (OpenTelemetry) for all system actions and AI decisions, delivering Proof of Intent and ensuring NIS2 compliance.
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Skald : The Cognitive Agent. User-facing AI for simplification and cognitive augmentation (GNN, Semantic Synthesis).
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DAWNSTAR : The Safe Mobility Agent. A ROS 2 module for the robotic wheelchair base, ensuring NIS2/ISO/SBOM compliant control and navigation.
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ESBERN : The Augmented Robotic Agent (Companion). The robotic assistant that handles fine manipulation and interaction, working in synergy with DAWNSTAR on the NVIDIA Jetson platform.
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DRAGONBORN : is the demonstration application for the SKALD Cognitive Agent, designed to showcase the transformative power of Deep Learning in providing real-time sensory and cognitive assistance.
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Deployed across mobile platforms using TensorFlow Lite (TFLite), DRAGONBORN transcends simple object recognition. It translates the complexity of the visual world into simple, actionable semantic instructions and synthesized audio.
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This application is our "proof of concept" to the world: a powerful, accessible, and ethical use of AI that requires minimal technical overhead.
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Guaranteed Compliance and Auditability
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Our projects integrate European and international standards from the very beginning: the AI Act, NIS2 Directive, and SBOM (Software Bill of Materials) are central to our engineering.
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The Deep Tech Vision: AI and Robotics for Daily Life
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Our approach goes beyond simple interfaces:
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Cognitive Augmentation: Skald utilizes Deep Tech to transform complex information into personalized semantic synthesis, making critical information instantly accessible.
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Robotic Autonomy: The DAWNSTAR and ESBERN system creates a cohesive, sovereign platform, guaranteeing the physical and digital security of users relying on advanced robotic assistance.
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Status and Next Steps
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This repository is currently utilized for internal engineering and initial development of the Winterhold architecture.
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We will release the core code (including Hearthfire, MASAQ, Ysgrammor, DAWNSTAR, and ESBERN) as they reach an auditable maturity level.
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Stay Updated: Follow this repository for official announcements regarding the opening of our projects to community audit.
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Edit this `README.md` markdown file to author your organization card.
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