If you're looking for a Viso Suite alternative, Dataloop is another good option. It offers data curation, model management, pipeline orchestration and human feedback to speed up AI application development. The platform can handle a range of unstructured data, including images, videos and text, and comes with automated preprocessing, automated deployment and security controls. It's geared for collaboration, speed and security, which is in line with Viso Suite's suite of tools.
Another good option is Clarifai, an AI workflow orchestration platform that helps you take AI prototypes to production. It supports modern AI technologies like Large Language Models and Generative AI, and offers tools like automated data labeling, content moderation and generative AI. Clarifai streamlines development and cuts costs by standardizing workflows and eliminating redundant infrastructure, so it's a good option for companies that want to operationalize AI solutions.
If you prefer a no-code approach, Ultralytics is a full-stack vision AI platform that lets you build powerful AI models without a lot of programming. It can deploy models to TensorFlow, ONNX and CoreML and has features like real-time object detection. Ultralytics is flexible, working for a range of industries and use cases, and its pricing tiers are designed to accommodate companies of different sizes and budgets.
Last, Roboflow is an all-in-one platform for training and deploying computer vision models, with automated annotation tools and powerful deployment options. It can integrate with popular frameworks like TensorFlow and PyTorch and deploy to edge and cloud computing environments. Roboflow's project management tools and secure role-based access controls make it a secure and efficient way to manage AI projects.