Rebuild org card: positioning, featured dataset, citation, well-known links

README.md

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-title: README
-emoji: 🏃
-colorFrom: green
-colorTo: yellow
+title: Llewellyn Systems Inc
+emoji: ⚜️
+colorFrom: yellow
+colorTo: red
 sdk: static
 pinned: false
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+<h1 align="center">⚜️ Llewellyn Systems Inc</h1>
+
+<p align="center">
+  <strong>The Operating System for Decision &amp; Enterprise.</strong><br/>
+  Open datasets, open agent primitives, and open infrastructure for the agentic enterprise.
+</p>
+
+<p align="center">
+  <a href="https://www.llewellynsystems.com">llewellynsystems.com</a>
+  &nbsp;·&nbsp;
+  <a href="https://www.llewellynsystems.com/.well-known/mcp.json">MCP discovery</a>
+  &nbsp;·&nbsp;
+  <a href="https://www.llewellynsystems.com/.well-known/agents.json">agents.json</a>
+  &nbsp;·&nbsp;
+  <a href="https://www.llewellynsystems.com/.well-known/a2a.json">A2A protocol</a>
+</p>
+
+---
+
+## What we publish here
+
+We use Hugging Face to ship **the open layer** of our stack — the artifacts an enterprise AI ecosystem can actually be built on.
+
+- **Datasets** — labeled enterprise operations data, agent-routing corpora, MCP intent traces.
+- **Models** — small, focused classifiers and routers for orchestration (rolling out).
+- **Spaces** — interactive demos of ODE agents, governance probes, and benchmarks (rolling out).
+
+If you train on our data, route through our schema, or extend our agent layer — credit us, ship the work, and tell us about it.
+
+---
+
+## ⭐ Featured: ODE Enterprise Use Case Dataset
+
+A first-of-its-kind labeled corpus of **15,000 enterprise use cases** spanning the full operational surface area of a modern company — procurement, finance, ITSM, supply chain, AI mesh, governance, robotics, and more.
+
+| | |
+|---|---|
+| **Rows** | 15,000 |
+| **Modules** | 31 (Procurement → AI Policy → Robotics → MDM) |
+| **Submodules** | 215 |
+| **Verticals** | 8 (Manufacturing, Healthcare, FinServ, Public Sector, Retail, SaaS, Logistics, Creator) |
+| **Channels** | 5 (Web, Mobile, API, Voice, CLI) |
+| **Personas** | 12 |
+| **License** | CC-BY-4.0 (attribution required) |
+
+**Built for:** training AI orchestrators, intent classification across multi-agent systems, MCP server routing, business process mining, and benchmarking how well LLMs actually understand enterprise operations.
+
+→ **[huggingface.co/datasets/LlewellynSystems/ode-enterprise-use-cases](https://huggingface.co/datasets/LlewellynSystems/ode-enterprise-use-cases)**
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset(
+    "LlewellynSystems/ode-enterprise-use-cases",
+    data_files="use_cases_universal.csv",
+)
+
+# Agent routing: map free-text intent → (module, submodule)
+for row in ds["train"].select(range(3)):
+    print(f"{row['title']}  →  {row['module']} / {row['submodule']}")
+```
+
+---
+
+## What we&apos;re building
+
+Llewellyn Systems builds **ODE** — an enterprise operating system designed for an agentic workforce, not a human-only one.
+
+- **19 production MCP servers** powering domain agents (finance, procurement, security, ops, AI policy, data lineage).
+- **55 AI agent skills** orchestrated under a 5-layer governance framework with constitutional AI guardrails.
+- **Open well-known endpoints** — every ODE deployment publishes `mcp.json`, `agents.json`, and `a2a.json` so other agents can discover and negotiate with it.
+
+The artifacts we publish here are the slices of that stack that work better in the open: schemas, datasets, routing models, and reference agents.
+
+---
+
+## Citation
+
+If our work shows up in your model, paper, product, or service — cite us.
+
+```bibtex
+@misc{llewellyn_systems_hf_2026,
+  title  = {Llewellyn Systems on Hugging Face: Open Datasets and Agent Primitives for the Enterprise},
+  author = {Llewellyn Systems Inc},
+  year   = {2026},
+  url    = {https://huggingface.co/LlewellynSystems}
+}
+```
+
+---
+
+## Get in touch
+
+- **Website** — [llewellynsystems.com](https://www.llewellynsystems.com)
+- **Engineering / partnerships** — `llewellyn@llewellynsystems.com`
+- **MCP &amp; A2A integrations** — start with the `.well-known/` endpoints linked above
+
+<p align="center"><em>Open primitives. Sovereign infrastructure. Built to be built upon.</em></p>