Update org card to OxCode AI

README.md

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-title: Oxlo.ai
+title: OxCode AI
 emoji: ⚡
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-# Oxlo.ai - Flat Monthly Pricing for AI Inference
+# OxCode AI
 
-<p align="center">
-  <img src="https://oxlo.ai/images/logo-dark.svg" width="200" alt="Oxlo.ai Logo"/>
-</p>
+OxCode is an AI software engineer that runs as an extension in VS Code and in editors that use Open VSX. It plans a change, writes the code, runs tests and debugs failures, and asks before it runs commands. It's made in India, mainly for Indian developers, by a small team.
 
-## What is Oxlo.ai?
+## Benchmarks
+- SWE-bench Verified: 410 of 500 resolved (82.0%). One attempt per instance, no internet, graded by the official SWE-bench harness.
+- Terminal-Bench 2.1: 73 of 89 tasks solved (82.0%). One attempt per task, run by us. The official leaderboard averages several attempts, so this is not a leaderboard entry.
 
-Oxlo.ai is a **developer-first AI inference platform** with **request-based pricing**.
-Unlike token-based providers, we charge a flat fee per API call - a 100-token prompt
-costs the same as a 50,000-token prompt.
+Write-ups and files to regrade them: https://www.oxcode.ai/benchmarks
 
-## 💡 Why Oxlo.ai?
+## Try it
+- VS Code Marketplace: https://marketplace.visualstudio.com/items?itemName=oxloai.oxcode-ai
+- Open VSX: https://open-vsx.org/extension/oxloai/oxcode-ai
+- Free plan (15 runs a day). Paid plans are ₹99/month for the first 2 months.
 
-| Feature | Oxlo.ai | Token-Based Providers |
-|---------|---------|----------------------|
-| Pricing model | **Per request** (flat) | Per token (variable) |
-| Cost predictability | ✅ Fixed monthly bill | ❌ Scales with usage |
-| Long-context cost | Same as short context | 10-100x more expensive |
-| OpenAI SDK compatible | ✅ Drop-in replacement | Varies |
+## Links
+- Website: https://www.oxcode.ai
+- GitHub: https://github.com/Oxcode-ai
+- Evals: https://github.com/Oxcode-ai/oxcode-evals
+- X: https://x.com/OxCode_ai
 
-## 📦 Available Models (35+)
-
-### Text & Chat
-- Qwen 3 32B, Llama 3.3 70B, DeepSeek R1 671B, DeepSeek V3.2
-- Llama 4 Maverick 17B, GPT-OSS 120B, Mistral 7B, Gemma 3
-
-### Code
-- Qwen 3 Coder 30B, DeepSeek Coder 33B
-
-### Vision
-- Gemma 3 27B, Kimi K2.5, Kimi K2 Thinking
-
-### Image Generation
-- Oxlo Image Pro, SDXL Lightning, Stable Diffusion 1.5, Flux 1.5
-
-### Audio
-- Whisper Large v3, Whisper Turbo, Kokoro 82M TTS
-
-### Embeddings & Detection
-- BGE-Large, E5-Large, YOLOv9, YOLOv11
-
-## 🔗 Quick Start
-
-```python
-from openai import OpenAI
-
-client = OpenAI(
-    base_url="https://api.oxlo.ai/v1",
-    api_key="your-oxlo-api-key"
-)
-
-response = client.chat.completions.create(
-    model="qwen-3-32b",
-    messages=[{"role": "user", "content": "Hello!"}]
-)
-
-print(response.choices[0].message.content)
-```
-
-## 🔗 Links
-
-- [Website](https://www.oxlo.ai/) 
-- [Documentation](https://docs.oxlo.ai/docs/)
-- [Get Started](https://portal.oxlo.ai)
-- [GitHub](https://github.com/Cyborg-Network)
-- Contact: [hello@oxlo.ai](mailto:hello@oxlo.ai)
+## Feedback
+We'd like to hear where it fails: wrong fixes, tests it skipped, plans that missed the point. Open a discussion here or reach us on X at @OxCode_ai.