OTAI is private AI for your helpdesk — routing, priorities, summaries, and more. Tuned to your structure. Full On-Prem first. Everything runs on your infrastructure.

Lead with classification, summaries, and a rock-solid install. Title rewrite and field extraction are in the product. Reply drafts and chatbot are coming soon.
Classify routing target, priority, and other single-select fields from your helpdesk setup — so tickets land with the right team and priority without exporting ticket payloads.
Short, consistent ticket summaries for agents — written back into your ticket system so people see context without reading every reply.
Deploy with Docker next to your ticket system. Connectors for Zammad, OTOBO, Znuny and more read new tickets locally and write results back — no ticket export required.
Suggest clearer ticket titles from the conversation. Included in the product; we keep it out of the commercial headline until quality and docs match.
Pull structured values into ticket fields from the conversation. Included in the product; not a lead claim until quality and docs match.
Suggested agent replies grounded in your knowledge — coming soon, once they survive a real ticket-system demo without babysitting.
On-prem chatbot for internal or FAQ-style answers — coming soon, once quality is solid in a live ticket-system demo.
OTAI Studio runs on your infrastructure alongside the runtime and your ticket system. There is no separate hosted production dashboard.
Configure AI tasks, review status, and control deployment from the same private environment where your ticket data stays.
Studio, Runtime, and ticket data remain inside your environment.
Open Studio from OTOBO, Znuny, or Zammad without a separate public account.
Configure tasks, review results, and manage your local runtime.
Configuration, task management, and runtime visibility in the environment you control.
Operate Studio inside your network together with OTAI Runtime and your ticket system.
Configure the routing, priority, and other ticket fields your helpdesk actually uses.
Define teams, priorities, and categories exactly as they exist in your ticket system.
Activate, monitor, and update local AI tasks from one place.
Evaluate the complete product without buying a GPU, then move the proven setup to your infrastructure.
Tell us about your ticket system and use case. We prepare the right trial environment.
Receive a ready-to-use GPU environment with a ticket system and OTAI Studio before you buy a GPU.
When the trial fits, deploy Studio and Runtime on your own infrastructure for production.
We help with deployment, updates, security patches, and the hardware specification.
Start with a ready-to-use Free Cloud Trial. Move to Full On-Prem only after OTAI proves its value for your helpdesk.
Evaluate & test
On request · agent-based software
Support, updates, and patches are included with Full On-Prem — delivered directly by the OTAI team, no third parties. The coverage levels below show what the plan includes.
Included support for standard coverage
Baseline support included with Full On-Prem: software updates, security patches, and business-hours assistance from the OTAI team.
Expanded support coverage with faster SLA targets
Expanded support for Full On-Prem teams that need longer coverage hours and faster response targets, agreed as part of the selected pack.
Everything you need to keep your AI deployment running at peak performance.
Regular updates to OTAI Studio and inference engines. Stay current with the latest features and improvements.
Timely security patches for your on-premise deployment, included with Full On-Prem.
Clear response and resolution targets agreed as part of your selected Full On-Prem pack.
Direct access to the OTAI engineering team for diagnosing and resolving deployment issues.
Guidance on monitoring performance and refining how your helpdesk is described so classification stays accurate over time.
Clear escalation procedures when critical issues arise. Direct line to senior engineers.
All implementation, integration, automation, and custom development services are delivered by our certified partners.
View Partners & ServicesFull On-Prem runs entirely on your infrastructure. We specify the right GPU for your workload; use your own hardware or source a suitable system through our partner. Start with the Free Cloud Trial before you buy a GPU.
Deploy with Docker next to your ticket system. Connectors for Zammad, OTOBO, Znuny, and more.
A GPU with at least 24 GB VRAM is required. We match the exact hardware recommendation to your workload.
Use hardware you already own or source a suitable system through our partner at a fair price.
Use the Free Cloud Trial to evaluate OTAI before investing in production hardware.
See how Open Ticket AI handles routing, priorities, and summaries on-premise — and where the product is headed next.