Open Ticket AI

Open Ticket AI (OTAI) builds on-premise AI models for automatic ticket tagging in helpdesk and IT support systems.

Our focus is privacy-first, cost-efficient, and production-ready AI that runs on standard hardware without external APIs or cloud dependencies.

What we build

🏷️ Ticket Tagging AI

AI models that automatically assign structured tags to incoming tickets:

• Incident type
• Category / topic
• Priority & urgency
• Root cause hints
• Affected systems and assets

Designed for consistent, human-level tagging quality across teams.

Product Line

OTAI Tags – Lite Free

• Free and open
• CPU-optimized
• ~100 tags
• Ideal for evaluation and small to medium ticket volumes

OTAI Tags – Lite Pro

• Higher accuracy
• Production-ready
• On-premise licensing
• Optional maintenance & updates

OTAI Tags – Full (coming soon)

• Larger tag sets
• Advanced workflows
• Enterprise integrations

Key Principles

• On-premise first (no data leaves your infrastructure)
• No API lock-in
• Runs on standard CPUs
• Designed for real helpdesk workflows
• Works with existing ticket systems

Integrations

Open Ticket AI is designed to integrate with common helpdesk systems, including:

• Zammad
• OTOBO
• Znuny / OTRS forks
• Custom ITSM systems via API or webhooks

Links

• Website: https://softoft.de
• Hugging Face Models: https://huggingface.co/open-ticket-ai
• Company: Softoft (Tobias Bück)

If you are looking for on-prem AI for ticket tagging, you are in the right place.