Cloud SaaS · EU Region

OTAI Studio:
Your AI Control Plane in the Cloud.

Manage the full model lifecycle from a single dashboard. Define your taxonomy, train custom models from metadata, and deploy signed artifacts — all without exposing a single ticket.

What is OTAI Studio?

The Self-Service Cloud for Your AI Models.

OTAI Studio is the cloud web application where you manage everything outside your on-premise environment — subscriptions, licenses, training runs, and model delivery.

Traditional AI platforms require you to upload sensitive data to the cloud. Studio takes a fundamentally different approach: you only share queue names and descriptions. We generate thousands of synthetic training samples from that metadata alone.

Metadata-Only Training

No real tickets are uploaded — ever.

GDPR Compliant by Architecture

Zero PII leaves your on-premise environment.

Full Self-Service

Train, review, and deploy models on your own schedule.

OTAI Studio — Dashboard
Organization
Acme Corp Pro Plan
Recent Training Runs
support-queues-v3 Completed
priority-model-v2 Training...
Credits Remaining
42 / 100
Capabilities

Everything You Need to Manage Your AI.

From billing and credits to model training and deployment — Studio gives you full control over the AI model lifecycle.

Account & Billing

Manage your subscription tier, payment method, and invoices. Upgrade from Community to Pro or Enterprise at any time.

Training Credits

Buy additional credits in bulk (10, 50, or 100 credit packages). Credits never expire and accumulate across months.

Model Training

Define your queues, priorities, or other ticket attributes with descriptions. Start a training run and choose your quality mode.

Model Delivery

Once training is complete, review the accuracy score and deploy. The signed model artifact is pushed directly to your OTAI Runtime.

How It Works

From Metadata to Production in Four Steps.

No data labeling. No ticket uploads. Just describe your queues and let Studio handle the rest.

01

Define

Describe your queues and categories with metadata — no real tickets needed.

02

Train

Studio generates synthetic data and trains a custom model in Google Cloud (EU).

03

Review

Inspect accuracy scores and quality metrics before approving the model.

04

Deploy

The signed artifact is pushed to your on-premise OTAI Runtime automatically.

Architecture
Customer Admin OTAI Studio Training Service (EU) Model Artifact OTAI Runtime (On-Prem)

Studio sits between you and the training service in Google Cloud. Your ticket system and OTAI Runtime stay entirely on your own infrastructure.

Privacy by Design

What Studio Does NOT Do.

Transparency is a core value. Here is exactly what OTAI Studio will never touch.

No Ticket Access

Studio never reads or processes your ticket content. Training is based on taxonomy metadata only.

EU Cloud Only

All Studio infrastructure runs in EU-region data centers. Your metadata never leaves the EU.

Independent Runtime

Your on-premise OTAI Runtime runs independently. Studio only pushes new model versions.

No Connector Config

Connector setup lives in the OTAI Console on-prem. Studio handles only the model lifecycle.

See OTAI Studio
in Action.

Book a 15-minute intro call and we will walk you through the platform, the training workflow, and answer any questions.