Smarter Queues, Smart Staffing.

Zwoop's AI platform eliminates long lines and optimizes staffing—before problems arise.

Edge AI Technology
Real-time Analytics
Smart Staffing

Our Products

Cutting-edge AI solutions designed to transform queue management and staff optimization

TwinQ

TwinQ

Edge AI for Intelligent Queue Management

TwinQ is our flagship edge-AI solution that revolutionizes queue management. Using advanced computer vision, holistic feature tracking, and smart queuing theory combined with machine learning, TwinQ provides real-time insights and predictions. The onboard LLM analyzes tracked data to deliver intelligent staffing recommendations, ensuring optimal resource allocation and minimal wait times.

Advanced AI Processing

Edge computing with onboard LLM for real-time analysis and decision making

Holistic Feature Tracking

Tracks line movements using comprehensive visual features and patterns

Smart Staffing Recommendations

AI-driven insights for optimal staff allocation based on queue dynamics

Real-Time Predictions

Instant wait time estimates and queue flow predictions

Privacy-First Design

Edge processing ensures data privacy and security compliance

Cloud Integration

Seamless sync with cloud dashboards for comprehensive analytics

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More Innovations Coming Soon

We're constantly developing new AI-powered solutions to help businesses thrive

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About Zwoop

Pioneering the future of intelligent queue management and staff optimization

Our Mission

To revolutionize queue management and staff optimization through cutting-edge AI technology, making businesses more efficient and customer experiences more pleasant.

Our Vision

A world where AI seamlessly orchestrates business operations, eliminating inefficiencies and creating delightful experiences for both businesses and their customers.

Our Values

Innovation, efficiency, and customer-centricity drive everything we do. We believe in the power of AI to solve real-world problems and create meaningful impact.

Jacob Fein-Ashley, Founder of Zwoop

Jacob Fein-Ashley

Founder & CEO

Ph.D. StudentUSC

As a Ph.D. student at the University of Southern California, Jacob combines deep academic research with practical innovation. His work focuses on the intersection of artificial intelligence, computer vision, and queuing theory, leading to breakthrough solutions that address real-world challenges in business operations.

Driven by a passion for efficiency and optimization, Jacob founded Zwoop to bring cutting-edge AI technology to businesses of all sizes. His vision is to make intelligent queue management and staff optimization accessible, affordable, and impactful for organizations worldwide.

“AI shouldn't just be about automation—it should be about augmentation. Our goal is to empower businesses and their teams to work smarter, not harder.”

Research-Driven Innovation

Our solutions are grounded in rigorous academic research and real-world testing. By combining theoretical foundations with practical applications, we create AI systems that are not just smart, but also reliable, scalable, and genuinely useful for businesses.

Get in Touch

Ready to transform your queue management? Let's discuss how Zwoop can help your business thrive

Let's Build the Future Together

Whether you're interested in implementing TwinQ, exploring partnership opportunities, or just want to learn more about our technology, we'd love to hear from you.

Request a Demo

See TwinQ in action and discover how it can revolutionize your operations

Partnership Inquiries

Explore collaboration opportunities and grow together

Technical Support

Get help with implementation and optimization