Abacus.AI is a good foundation for developers who want to build and run AI agents at large scale. It has a range of products and features, including ChatLLM for building full-stack RAG systems and fine-tuning LLMs, AI Agents for automating complex processes, and a range of predictive and analytical tools. The foundation also has enterprise-ready AI agents with high availability, governance and compliance, making it a good option for LLM integration and automating complex processes.
Another good option is Anyscale, which is geared for building, deploying and scaling AI applications. Based on the open-source Ray framework, Anyscale can handle a broad range of AI models, including LLMs, and offers features like workload scheduling, cloud flexibility and optimized resource usage. It also offers native integration with popular integrated development environment (IDE) tools and has strong security and governance options, too, making it a good option for flexible AI development.
If you're more focused on the full life cycle of AI software, Keywords AI offers a unified DevOps foundation. It offers a single API endpoint for multiple LLM models, can handle concurrent calls without lag, can be easily integrated with OpenAI APIs and offers visualization and logging through prebuilt dashboards. The platform is geared for AI startups, letting developers focus on building products instead of infrastructure.