If you're looking for another Scade alternative, Keywords AI is worth a look. It's a unified DevOps platform for building, deploying and monitoring AI applications based on large language models (LLMs). The platform can use multiple LLM models through a single API endpoint, can integrate with OpenAI APIs, and has keyboard shortcuts for fast development. It also comes with visualization tools, performance monitoring and data collection for optimizing model performance, so it's a good all-purpose tool for AI startups.
Another good alternative is Clarifai, an AI workflow orchestration platform. Clarifai lets companies build, manage and operationalize AI projects at scale, in the cloud, air-gapped or on-premises. It has features like automated data labeling, content moderation, generative AI and visual inspection that can help make it easier to move AI prototypes into production. The platform is good for a variety of use cases, including digital asset management and content moderation, and can be used by no-code and low-code users.
Together is another option worth evaluating if you're looking for a cost-effective path to enterprise use. It's got optimizations like Cocktail SGD and FlashAttention 2 to speed up AI model training and inference. Together supports a variety of models, including LLaMA-3 and Stable Diffusion XL, and has collaboration tools for fine-tuning models and API key management. It promises substantial cost savings, which could be appealing to companies that want to build private AI models into their products.
For a scalable and reliable option, AIML API lets you tap into more than 100 AI models with a single API. It offers serverless inference, a pay-by-token pricing model and 99% uptime. The platform is geared for advanced machine learning projects that require fast, reliable and economical access to a wide range of AI models, so it's a good option for developers.