# catalyst

- **Event:** [Global Codex Hackathon: [London]](https://cerebralvalley.ai/e/open-ai-hackathon-london)
- **When:** Wed, Apr 15 at 10:00 AM – 8:00 PM (GMT+1)
- **Where:** CodeNode, London, UK
- **Placement:** 2nd Place
- **Team:** [Sana Riaz](https://cerebralvalley.ai/u/sana-riaz), [Maxine Setiawan](https://cerebralvalley.ai/u/maxinems), [Vasco Eguren](https://cerebralvalley.ai/u/vase)
- **Gallery:** https://cerebralvalley.ai/e/open-ai-hackathon-london/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/open-ai-hackathon-london/hackathon/gallery/3

In Common is an AI-powered workforce intelligence prototype that helps large organizations staff teams faster, more fairly, and with better evidence. It sits on top of existing workday employee and role data, enriches static profiles through conversational AI, and uses a layered matching pipeline to connect people to opportunities.

Key features:

Conversational profile enrichment to capture hidden skills, motivations, working style, and team dynamics
Role-to-candidate and candidate-to-role matching
Hard filters plus semantic matching plus LLM-powered reasoning
Anonymized shortlists by default to reduce bias and fairer
Staffability scoring and training recommendations to improve deployability
Decision traces and audit logs for explainability and trust

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