Value proposition

End-to-end computer vision platform to build, deploy and operate AI vision applications.

We enable organizations worldwide to power computer vision.
Viso Suite is the end-to-end computer vision platform to build, deploy, and operate computer vision from one place. Our technology makes computer vision development 10x faster, flexible, and future-proof.

Best in Class No Code AI Vision:
Viso Suite is an industry-agnostic, hardware-agnostic, high-performing, and scalable no-code/low-code cloud platform, providing a visual programming interface to build robust visual AI applications dramatically faster.

All-in-One Suite of Software:
Viso Suite is packed with all the tools needed to build, distribute, and operate professional visual AI solutions. Viso Suite seamlessly integrates Image Annotation, Application Building, Device Management, Deployment Center, Dashboard Builder, Access Management, Zero-Trust Security, etc. Move from POC to production without the need to integrate hardware, cameras, different ML platforms, algorithms, computer vision software, or infrastructure.

Innovate much faster:
With fully integrated tools that are ready out-of-the-box, you can expect Viso Suite to revolutionize how AI Vision technology is developed. Accelerate time-to-market by 10x with automated development and deployment. Expect drastically shorter development cycles, also after product launch.

Unrivaled Scalability:
Viso Suite offers unique technology allowing teams to scale a portfolio of applications without limits. The fully managed IoT infrastructure supports deploying and managing thousands of edge devices or virtual devices. Use powerful tools for remote debugging and troubleshooting of edge devices. In addition, Viso Suite is highly extensible and lets you add custom code, docker containers, or integrate with your BI tools and databases.

Ease of use:
Viso Suite is suitable for both vision experts and new developers with basic software/hardware knowledge. The model-driven architecture enables collaboration between business and technical teams.

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