If you need a foundation for building AI-powered apps with natural language understanding abilities, NEXA AI could be a good option. NEXA AI lets software understand natural language input and respond accordingly, using AI agent models that can be deployed on different hardware and software. With options like Octopus Models and Octo-net for scaling, it can process text and images multimodally and offers a range of pricing levels from basic to enterprise.
Another top contender is Dify, an open-source foundation for building and running generative AI applications. Dify comes with a visual Orchestration Studio for creating AI apps, tools for secure data pipelines, prompt design and model tuning. It offers customizable LLM agents, rapid chatbot and AI assistant deployment and on-premise options for secure use, making it a good option for companies and individuals that want to use AI securely and efficiently.
Abacus.AI is another powerful foundation for building and running AI agents and systems at scale. It combines generative AI and neural network technology to build large language model apps and AI agents. With features like ChatLLM for end-to-end systems, AI Agents for automating workflows and predictive and analytical capabilities, Abacus.AI is designed to make AI more accessible for developers, so they can build better customer service and optimize business operations.
If you prefer a low-code, no-code approach, check out UBOS. This foundation lets you build your own Generative AI and AI apps directly in your browser with one-click deployment to any cloud. It supports a broad variety of AI models and is geared for both technical and nontechnical users, so it's good for startups and enterprises.