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README.md
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---
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# Open Ticket AI
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**Open Ticket AI (OTAI)** builds on-premise AI models for automatic ticket tagging in helpdesk and IT support systems.
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Our focus is **privacy-first, cost-efficient, and production-ready AI** that runs on standard hardware without external APIs or cloud dependencies.
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---
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## What we build
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### 🏷️ Ticket Tagging AI
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AI models that automatically assign structured tags to incoming tickets:
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- Incident type
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- Category / topic
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- Priority & urgency
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- Root cause hints
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- Affected systems and assets
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Designed for **consistent, human-level tagging quality** across teams.
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---
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## Product Line
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### **OTAI Tags – Lite Free**
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- Free and open
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- CPU-optimized
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- ~100 tags
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- Ideal for evaluation and small to medium ticket volumes
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### **OTAI Tags – Lite Pro**
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- Higher accuracy
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- Production-ready
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- On-premise licensing
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- Optional maintenance & updates
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### **OTAI Tags – Full** *(coming soon)*
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- Larger tag sets
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- Advanced workflows
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- Enterprise integrations
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---
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## Key Principles
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- **On-premise first** (no data leaves your infrastructure)
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- **No API lock-in**
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- **Runs on standard CPUs**
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- **Designed for real helpdesk workflows**
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- **Works with existing ticket systems**
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---
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## Integrations
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Open Ticket AI is designed to integrate with common helpdesk systems, including:
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- Zammad
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- OTOBO
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- Znuny / OTRS forks
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- Custom ITSM systems via API or webhooks
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---
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## Links
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- Website: https://softoft.de
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- Hugging Face Models: https://huggingface.co/open-ticket-ai
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- Company: Softoft (Tobias Bück)
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---
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If you are looking for **on-prem AI for ticket tagging**, you are in the right place.
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