Question: How can I build custom AI agents that meet my team's specific needs and maintain control over our data?

If you want to create your own AI agents that are tailored to your team's needs and keep your data under your control, Kompas AI is a good choice. This self-driving AI agent platform is geared for knowledge workers, increasing productivity and offering customizable AI agents that are designed to meet the needs of your team. With Kompas AI, you keep control of your data, which means it's not used for AI training and therefore your privacy is protected.

Another strong contender is Abacus.AI, which lets developers create and deploy applied AI agents at large scale. It supports a broad range of AI models, including generative AI and neural networks. With features like high availability, governance and compliance, Abacus.AI is well-suited for building enterprise-grade AI agents that can automate complex processes and span multiple data sources, and that can provide tools to analyze data at scale and set up pipelines for complex processes.

If you prefer a no-code option, NexusGPT provides a simple interface to create and integrate custom AI agents. You can create many different agents easily, each designed for a specific task. NexusGPT supports multiple AI models and can be easily integrated with existing applications, making it a good option for automating repetitive tasks and streamlining workflows across many industries.

Last, TeamAI is a good option for collaborative AI workspaces. It supports multiple large language models like Gemini, GPT-4 and LLaMA, and lets teams create custom plugins to build AI assistants. TeamAI is geared for teams in many industries, automating workflows and boosting creativity, with a fast setup process and no-code automation.