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@OndCo

Ond

AI&Web3 Trust Layer Copyright © 2023-2025 Omnind Inc. All rights reserved.

🌐 Omnind Inc. — Uncertainty-Aware Intelligence Platform 🚀

Building the intelligence layer for cross-domain, uncertainty-resilient AI systems.
Visit us 👉 osuite.ai

OSuite by Ond & Co® | An NDIM Group Product by Omnind Inc.

Omnind Inc. — Stock Ticker: NDIM | Domain: nd.im

Ond & Co® is the technical brand and subsidiary of Omnind Inc., developing the Trust Layer for AI & Web3.
All Ond products are part of the NDIM Group ecosystem.


Star History Chart License: MIT Build Status Website Contributions Welcome


🧭 Overview

Omnind is an AI research and engineering company focusing on uncertainty-aware hierarchical learning and cross-domain generalization.
We develop algorithms and infrastructure that make AI adaptable, explainable, and trustworthy — even when data shifts or uncertainty grows.

Our technologies are being applied to:

  • ⚙️ Industrial digital intelligence
  • ♻️ ESG analytics & environmental modeling
  • 🔗 Web3 trust & verification layers

To use our repo, kingly follow the reference below:

We name the projects in this format: Ond-Category-Industries-Feature-TechStack.

*NOTE: For ESG Projects, Industries and TechStack will not be included cause of prioritites.

Category includes:

  • IE=Industrial Examples,
  • IS=Industrial Solutions,
  • IP=Industrial Projects

Industries: like manufaturing(Mfg), gerneral industries(Ind), etc.


🏗️ System Architecture

                ┌────────────────────────────┐
                │        Source Domain        │
                │  (Labeled, High-Quality)    │
                └──────────────┬──────────────┘
                               │
                      Feature Consistency
                               │
                ┌──────────────▼──────────────┐
                │    Hierarchical Alignment    │
                │ (Node ↔ Edge ↔ Region Levels)│
                └──────────────┬──────────────┘
                               │
                     MAML Meta Adaptation
                               │
                ┌──────────────▼──────────────┐
                │       Target Domain         │
                │   (Unlabeled, Dynamic)      │
                └────────────────────────────┘

⚡ Key Features

  • 🧩 Cross-domain Robustness: Models trained in one environment adapt seamlessly to others.
  • 🧮 Multi-Level Representation: Node, edge, and region hierarchies enhance structural understanding.
  • 🧠 Uncertainty Quantification: Predicts confidence for every decision — critical for real-world AI.
  • 🪶 Meta Adaptation: Enables rapid re-tuning under domain shifts.
  • 🔗 Trust & Transparency: Integrates blockchain-based verification for data and model lineage.

🧱 Applications

  • Smart City Analytics: Adaptive prediction and mobility insights.
  • Industrial IoT & ESG: Robust modeling for heterogeneous data.
  • AI Governance & Trust: Blockchain-anchored model verification.
  • Digital Twin Systems: Data-driven simulations under uncertainty.

🤝 Collaboration

We actively collaborate with research institutions, smart city partners, and industry ecosystems. If you’re exploring AI reliability, digital trust, or adaptive prediction systems, we’d love to connect.

📧 Contact: [email protected] 🌐 Website: https://osuite.ai 💼 LinkedIn: Omnind Inc. 🐙 GitHub: @OndCo


🧑‍💻 Contributing

We welcome contributions from both researchers and developers! Please read our CONTRIBUTING.md and follow our CODE_OF_CONDUCT.md.

Steps:

  1. Fork the repo
  2. Create your branch (git checkout -b feature/awesome-feature)
  3. Commit changes (git commit -m "Add feature")
  4. Push (git push origin feature/awesome-feature)
  5. Submit a Pull Request 🚀

🧾 Citation

If you reference this work in research or products, please cite:

@article{omnind2025uacross,
  title={UACross: Uncertainty-Aware Hierarchical Feature Alignment for Cross-Domain Prediction},
  author={Omnind Research Team},
  year={2025},
  journal={AAAI}
}

📄 License

Licensed under the MIT License. © 2025 Omnind Inc. — All rights reserved.


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