I use aiXplain primarily for AI Engineer duties to test various AI models/APIs as well as creating small AI workflows for our projects. What I like best is the ability to connect to different AI services from a single platform rather than having to configure each individually. Allows me to prototype quicker and cuts down on dev time if I need to compare results.

What I like most about aiXplain: Unified and frictionless access: It simplifies the complexity of integrating AI by bringing together hundreds of models (LLM, voice, vision) and tools in a single Marketplace. It eliminates the need to manage multiple contracts or independent API keys. Flexibility between No-Code and code: Its visual design environment (Studio) allows product teams to prototype agents and complex flows in minutes using natural language, while the API/SDK gives developers the technical control needed to take it to production. Governance and real-time cost control: It offers transparent visibility over the performance and costs of each model used, making it easier to optimize the budget and maintain data privacy at the enterprise level.

It is a single hub for hundreds of models and its privacy is top notch it suggests best model for my database