If you need a service to test and deploy AI models on phones, Ultralytics is another top contender. The service lets you train and create AI models with a minimum of programming work, and it can export models to TensorFlow, ONNX and CoreML, which can run on phones. Ultralytics also offers real-time object detection with YOLO and prebuilt templates, so you can quickly test and deploy AI models to phones.
Another good choice is Replicate, an API-based service for running and scaling machine learning models. Replicate can handle a range of tasks, and you can deploy your own models, too, so it's good for developers who want to add AI abilities without having to worry about the plumbing. Its pay-as-you-go pricing can be economical if you're a developer running lots of AI jobs.
If you're more interested in mobile app testing, GPT Driver is an interesting option that uses AI to automate testing. The service lets teams test apps on lots of devices with high accuracy and speed, generating automated regression tests and catching bugs early. GPT Driver's natural language testing setup and technology-agnostic support means it's accessible to people who aren't experts, so you can get more done faster with less testing overhead.
Last, UBOS is a low-code platform for creating custom AI applications and Generative AI. It can export models to any cloud with a single click and supports a range of AI models. UBOS is designed for both technical and nontechnical people, so it's good for building AI-powered apps, like chatbots and machine learning apps, with a minimal amount of setup.