# ClawX

- **Event:** [Global Codex Hackathon: [San Francisco]](https://cerebralvalley.ai/e/openai-hackathon-sanfrancisco)
- **When:** Thu, Apr 16 at 10:00 AM – 8:00 PM (PDT)
- **Where:** 1515 3rd Street, San Francisco, CA
- **Team:** [Aravindhan Ramakrishnan](https://cerebralvalley.ai/u/Arvi), [Manav Modi](https://cerebralvalley.ai/u/manavmodi)
- **Demo video:** https://youtu.be/BNSsumVY5Oc
- **Gallery:** https://cerebralvalley.ai/e/openai-hackathon-sanfrancisco/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/openai-hackathon-sanfrancisco/hackathon/gallery/3

We are building an MVP for a client need: an edge-based, self-optimizing supply chain control system that continuously monitors operations, makes real-time decisions, and recommends or triggers actions. The system demonstrates a complete closed-loop pipeline:

Vision → Reasoning → Orchestration → Prediction → Action

Key capabilities:

- Detects disruptions in real time using vision AI 
- Understands system behavior over time using AI
- Simulates multiple corrective actions using a digital twin
- Recommends the optimal action with measurable impact
- Operates as a fully local, always-on decision loop
- Controls processes through robotic execution

## More from Global Codex Hackathon: [San Francisco]

- [Slalom - Jarvis](https://cerebralvalley.ai/e/openai-hackathon-sanfrancisco/hackathon/gallery/1)
- [GuardGPT](https://cerebralvalley.ai/e/openai-hackathon-sanfrancisco/hackathon/gallery/2)
- [Casper](https://cerebralvalley.ai/e/openai-hackathon-sanfrancisco/hackathon/gallery/4)
- [Section](https://cerebralvalley.ai/e/openai-hackathon-sanfrancisco/hackathon/gallery/5)
- [SpecForge](https://cerebralvalley.ai/e/openai-hackathon-sanfrancisco/hackathon/gallery/6)
- [PwC Retail](https://cerebralvalley.ai/e/openai-hackathon-sanfrancisco/hackathon/gallery/30)

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Markdown version of https://cerebralvalley.ai/e/openai-hackathon-sanfrancisco/hackathon/gallery/3. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt