If you need a platform that can track performance in real time and that offers relatively low-cost integration for AI projects without a huge team of programmers, Scade is worth a look. Scade is a no-code interface that lets you combine many different AI models for audio, images, text and video through a graphical interface. It offers real-time performance monitoring, a variety of prebuilt templates and support for more than 1,500 AI models. Scade's tiered pricing means you can pay for what you need, and it's designed to be easy to use for people who want to add AI abilities to their projects.
Another good option is Athina, an all-purpose platform for corporate GenAI teams. Athina offers real-time monitoring, cost tracking and customizable alerts, and is a good choice for AI teams that want to experiment, measure and optimize their applications. It offers a full stack for experimentation and analysis, along with features like LLM Observability, GraphQL API Access and Role-Based Access Controls. It's designed to let your team build AI applications reliably and efficiently.
Anyscale is another general-purpose platform for developing, deploying and scaling AI applications. It offers workload scheduling, cloud flexibility, smart instance management and heterogeneous node control to get the most out of your resources. Anyscale supports a broad range of AI models and offers native support for popular integrated development environment (IDE) and other tools, and it's designed to address performance and efficiency needs while also cutting costs. Its tiered pricing and adjustable plans mean it's good for small or large projects.