Viso Suite provides an end-to-end computer vision infrastructure that enables enterprises to collect, annotate, train, and deploy AI models for real-world applications. This platform addresses the challenges of managing complex data workflows and scaling AI solutions by offering a unified system that enhances operational efficiency and reduces time-to-value.
Funding
$9.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Enterprises face challenges in efficiently managing the end-to-end lifecycle of computer vision applications, including data collection, annotation, model training, deployment, and maintenance. Existing solutions often lack integration, require specialized expertise, and struggle to scale, leading to increased costs and slower time-to-value.
Solution
Viso Suite offers a comprehensive computer vision infrastructure that streamlines the entire AI lifecycle, enabling teams to build, deploy, and scale applications with greater speed and efficiency. The platform provides tools for data collection and automated annotation, along with modular environments for training custom AI models. Viso Suite's drag-and-drop pipeline builder simplifies application development, while its device management capabilities facilitate deployment to edge devices. The platform also includes features for real-time analytics, continuous delivery, and enterprise-grade security, ensuring applications are secure, maintainable, and scalable.
Target Audience
Viso Suite targets enterprise organizations across various industries, including manufacturing, construction, retail, transportation, and healthcare, that are looking to leverage computer vision to improve operational efficiency, enhance safety, and drive innovation.
Features
- End-to-end computer vision infrastructure for managing the entire AI lifecycle
- Automated data collection and annotation tools for high-quality training datasets
- Modular environments for training custom AI models and managing AI models of all frameworks
- Drag-and-drop pipeline builder for developing high-performance computer vision applications
- Built-in device management for deploying and managing applications at scale
- Real-time analytics with time-series databases and custom dashboards
- Enterprise-grade security features, including unified access management and vulnerability scanning
- Integration with existing systems through data connectors and open architecture
- Support for edge deployment, enabling low-latency processing and reduced bandwidth costs
- Pre-trained AI models to accelerate development