Computer Vision AI Platform

What is viso.ai?

Viso.ai is a technology company specializing in the development of advanced infrastructure for visual AI applications. Their flagship offering, the Viso Suite, is a no-code platform designed to empower users in creating, deploying, and managing computer vision applications without the need for coding expertise. 

The Viso Suite comes equipped with a wide range of features, including data collection, annotation, model training, development, deployment, and monitoring. Users have the flexibility to select from a library of pre-trained models or embark on the creation of custom models, utilizing various frameworks to suit their specific needs.

One notable feature of Viso Suite is its support for edge AI, a capability that facilitates local execution of machine learning tasks on connected devices, without relying on cloud resources. This can be particularly advantageous in scenarios where low latency or data privacy are critical considerations.

Viso.ai has earned the trust of prominent Fortune Global companies and has found applications across diverse domains such as transportation, agriculture, healthcare, smart cities, retail, and manufacturing. If you wish to explore Viso.ai and its product offerings in more detail, you can visit their website for additional information. Additionally, for further insights, you may also peruse some of the research papers authored by Viso.ai.

How does viso.ai work?

Viso.ai operates as a no-code platform designed to empower users in the creation, deployment, and management of computer vision applications without necessitating coding skills. To achieve this, Viso.ai leverages a variety of frameworks and libraries, including TensorFlow, Keras, and OpenCV, to construct and train AI models capable of performing diverse tasks such as object detection, face recognition, image segmentation, and more.

One noteworthy feature of Viso.ai is its support for edge AI, enabling the execution of machine learning tasks directly on connected devices, obviating the need for reliance on cloud resources. This proves advantageous in scenarios requiring low latency or data privacy.

Viso.ai provides a web-based interface known as Viso Suite, granting users access to an array of functionalities. These encompass data collection, annotation, model training, development, deployment, and monitoring. Users are afforded the flexibility to select from a library of pre-trained models or embark on the creation of custom models, drawing from various data sources and adjustable parameters.

Viso Suite further equips users with tools for testing, debugging, and optimizing AI model performance, facilitating a comprehensive development and refinement process.

The platform enjoys the trust of leading Fortune Global companies and finds applications across diverse domains, including transportation, agriculture, healthcare, smart cities, retail, and manufacturing.

For those seeking to delve deeper into how Viso.ai operates, the company offers informative blog posts and instructional video tutorials, providing valuable insights and guidance for users interested in harnessing its capabilities.

How much does viso.ai cost?

Viso.ai is a versatile no-code platform tailored for computer vision applications, offering a comprehensive 9-in-1 solution for building, deploying, and expanding custom applications. Rather than adhering to fixed pricing plans, Viso.ai adopts a personalized approach. Prospective users can initiate the pricing process by completing a form on their website, whereupon Viso.ai will furnish them with a customized quote aligned with their specific requirements and use cases.

To help users gauge the potential benefits of using Viso.ai, the company provides a handy calculator on their website. This tool allows individuals to estimate both time and cost savings when compared to the endeavor of developing a computer vision application from scratch. The calculator can be fine-tuned by adjusting parameters to ascertain the potential savings attainable through Viso.ai.

Alternatively, for a more in-depth exploration of Viso.ai's offerings, users can refer to their website for a detailed comparison of plans and features. Viso.ai offers three distinct plans: Standard, Production, and Enterprise. Each plan encompasses a range of features, including unlimited user seats, limitless camera streams, data collection, image annotation, ML model training, access to a model library, no-code application development, edge device management, automated deployment, real-time monitoring, diagnosis capabilities, and comprehensive security measures.

What are the benefits of viso.ai?

Viso.ai offers a range of notable benefits for users interested in computer vision applications:

• No-Code Platform: Viso.ai is a no-code computer vision platform, eliminating the need for coding skills. Users can build, deploy, and scale applications without writing a single line of code.
• Unified Lifecycle Solution: The platform provides an all-in-one solution for the entire life cycle of computer vision applications. This encompasses tasks such as data collection, annotation, model training, and deployment.
• Rich Model Library: Viso.ai boasts an extensive library of pre-trained AI models tailored for diverse tasks, including object detection, face recognition, pose estimation, and more.
• Edge AI Support: It supports edge AI technology, enabling high-performance and low-latency computer vision on a wide range of devices, irrespective of their computing power.
• Seamless Integration: Viso.ai facilitates easy integration with other systems and data sources, offering a secure and scalable infrastructure for applications.
• Simplified Development: The platform simplifies and expedites the development and delivery of computer vision applications. It achieves this by abstracting and automating complex processes.
• Continuous Model Improvement: Users can continuously enhance their AI models through streamlined data collection, annotation, and retraining processes.
• Automated Deployment: Viso.ai handles deployment pipelines and updates automatically, even for distributed devices with intermittent connectivity or limited bandwidth.
• Customization Options: Users have the flexibility to create custom applications using a no-code application editor or leverage ready-made applications from the platform's application library.

These features collectively make Viso.ai a versatile and user-friendly tool for various computer vision applications, offering both convenience and efficiency throughout the application development and deployment journey.

What are the limitations of viso.ai?

Viso.ai, while offering several advantages, also comes with certain limitations:

• Internet Dependency: Viso.ai necessitates an internet connection for accessing its platform and utilizing its features, including data collection, annotation, model training, and the application editor.
• Limited Hardware Compatibility: The platform may not be compatible with all types of cameras and hardware devices, potentially leading to compatibility issues with certain equipment.
• No Source Code Modification: Users are restricted from modifying the source code of the pre-trained AI models or ready-made applications available in the application library. Customization options are constrained.
• Absence of Graphical User Interface (GUI): Viso.ai lacks a graphical user interface (GUI) for the creation of custom AI models or applications. Instead, users are required to employ a no-code application editor for this purpose, which may require a learning curve.
• Performance and Accuracy Responsibility: The platform does not guarantee the accuracy or performance of AI models or applications created or utilized. Users are responsible for thorough testing and validation.
• Legal and Ethical Guidance: Viso.ai does not provide legal or ethical guidance specific to the use of computer vision in particular domains or contexts. Users must independently ensure compliance with relevant laws and regulations.

These limitations should be taken into consideration when assessing Viso.ai for specific use cases, as they may impact the suitability of the platform for certain applications and requirements.