Dataqueue
AI voice platform for building, deploying, and managing enterprise-grade voice agents.

About Dataqueue
DataQueue offers a unified, enterprise-grade platform for creating, deploying, and managing AI-powered voice agents. The platform is designed for businesses seeking to automate real-time conversations, customer support, and workflow tasks with natural, responsive, and multilingual voice AI—especially optimized for Arabic dialects and regional needs.
Key Features
No-code visual flow builder for designing conversational logic
Multi-model selection: switch between OpenAI, Google, Meta, and more for Speech-to-Text, LLM, and Text-to-Speech
Native support for 12+ Arabic dialects and multiple languages
Real-time call handling with integrated telephony stack (inbound/outbound, SIP, VOIP)
Instant local/global phone number provisioning for authentic caller experience
Built-in testing and QA tools for simulating conversations and validating logic
Full analytics suite: searchable transcripts, sentiment analysis, escalation detection
Customizable branding and white-label dashboards for B2B clients
Flexible deployment: cloud, private cloud, or on-premise
Role-based access and collaboration for teams
Use Cases
Automating customer support and appointment scheduling for healthcare providers
Handling financial service calls: balance inquiries, loan updates, fraud alerts
Lead management and branded voice agents for marketing agencies
SaaS companies adding multilingual or MENA-localized voice AI features
Developers and product teams launching voice agents without coding or server setup
Getting Started
Website: https://dataqueue.ai
Contact: https://www.dataqueue.ai/contact
Product Overview: https://dataqueue.ai/category/product/
Beginner’s Guide: https://dataqueue.ai/ai-agent-beginner-guide/
Use Cases: https://dataqueue.ai/use-cases-for-dataqueue/
DataQueue empowers businesses to launch sophisticated, culturally aligned voice AI agents in minutes, not weeks—without coding or vendor lock-in. The platform’s flexibility, real-time analytics, and deep Arabic language support make it a leading choice for organizations seeking scalable, human-like voice automation across industries.