If you're looking for another Salt AI alternative, Abacus.AI is also worth a look. This platform lets developers create and run applied AI agents and systems at large scale. It includes tools like ChatLLM for creating end-to-end RAG systems, AI Agents for automating complex processes, and a range of predictive and analytical capabilities. It's designed to make AI easier to incorporate into apps and to automate complex tasks and forecast in real time.
Another top contender is Anyscale, which is designed to build, deploy and scale AI applications with the highest performance and efficiency. By using the open-source Ray framework, Anyscale supports a broad range of AI models, including LLMs and custom generative AI models. It has native integrations with popular IDEs and Git and streamlined workflows for running, debugging and testing code at scale.
NexusGPT is another option. It's a no-code platform that lets you create and integrate custom AI agents to automate a wide range of tasks. It has a marketplace with more than 1,500 prebuilt agents, support for multiple AI models, and integration with existing apps. NexusGPT's flexibility and customization abilities make it a good choice for automating repetitive tasks and optimizing workflows, even for people who don't know how to program.
If you're looking for a DevOps platform, Keywords AI is an all-in-one option for building, deploying and monitoring AI applications based on large language models. It offers a single API endpoint for multiple LLM models, easy integration with OpenAI APIs, and tools for rapid development, performance monitoring and data collection. Keywords AI is geared for AI startups, letting developers focus on building products instead of infrastructure.