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README.md

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+# EVAM Lab 🪷
+
+**Ancient logic. Modern AI. Built to know what it doesn't know.**
+
+We implement Buddhist formal logic as ML infrastructure — rigorous epistemological frameworks developed over 1,500 years, now running on GPUs.
+
+---
+
+## Phase A: Apoha — Available Now
+
+> *"A concept is not defined by what it includes, but by what it excludes."*
+> — Dignāga, c. 480–540 CE
+
+**Apoha** is a few-shot classifier that defines concepts by their **exclusion sets** — examples of what they are NOT. Inputs that don't clearly belong anywhere receive `UNCERTAIN` instead of a forced label. OOD rejection is built into the architecture, not bolted on after.
+
+| Benchmark | Apoha OOD Rejection | Best Baseline | Improvement |
+|-----------|-------------------|---------------|-------------|
+| CLINC150 (30 intents) | 84.6% | 15.1% (InfoNCE) | **5.6×** |
+| Banking77 (50 intents) | 29.1% | 0.0% (InfoNCE) | **∞** |
+| HWU64 (40 intents) | 24.9% | 0.2% (InfoNCE) | **166×** |
+| Cybersecurity (15 TTPs) | 45.2% | 1.2% (InfoNCE) | **38×** |
+
+👉**[apoha-bge-small-en-v1.5](https://huggingface.co/EVAMLab/apoha-bge-small-en-v1.5)** — model weights + inference code
+
+👉 **[apoha-demo](https://huggingface.co/spaces/EVAMLab/apoha-demo)** — live interactive demo
+
+📄 **Preprint:** ArXiv *(coming soon)*
+
 ---
-title: README
-emoji: 🌍
-colorFrom: indigo
-colorTo: pink
-sdk: static
-pinned: false
+
+## Roadmap
+
+| Phase | Module | What it does |
+|-------|--------|-------------|
+| **A ✅** | Apoha | Rejects OOD *inputs* — classifier knows what it doesn't know |
+| **B 🔨** | Hetuchakra | Verifies LLM *outputs* — formal argument gate |
+| **C** | Pratibandha | Causal inference via do-calculus |
+| **D** | Pramāṇa | Belief revision and feedback loop |
+
+---
+
+## Who We Are
+
+**Dobdon Maksarov** — Buddhist monk and scholar. Geshe Lharampa (highest degree in Buddhist philosophy) after 23 years at Drepung Gomang Monastic University. MA Buddhist Studies, SOAS (2022). PhD researcher, SOAS University of London. Reads Dignāga and Dharmakīrti in Sanskrit and Tibetan.
+
+https://www.soas.ac.uk/about/dobdon-maksarov
+
+**Alexander Khundoev** — Software engineer, 25 years industry experience (Mathematics & CS degree). Built the complete Apoha implementation: loss functions, training pipeline, 6 benchmarks, 5 ablation studies.
+
+https://www.linkedin.com/in/alexanderkhundoev 
+
 ---
 
-Edit this `README.md` markdown file to author your organization card.
+## Contact
+
+dobdon.maksarov@gmail.com · alexander.khundoev@gmail.com
+
+© 2026 Dobdon Maksarov and Alexander Khundoev · [Proprietary License](https://huggingface.co/EVAMLab/apoha-bge-small-en-v1.5/blob/main/LICENSE)