Generative AI has revolutionized how people create and explore ideas, but it's also faced a major challenge: hallucinations, or confidently produced but inaccurate responses. These errors have made it difficult for users, including researchers working in science, academia and finance, to fully trust AI-generated results.

Rei Labs is tackling this problem with a product that minimizes reliance on large language model reasoning by directing user questions to custom algorithms and models designed for precision. The company enables users to develop expert AI agents to assist research projects in Web3, neuroscience, psychology, and more.

Meeting customer requirements to deliver and scale expert AI agents to more than 10,000 users is no small task. But with a flexible cloud infrastructure, an organized console on Google Cloud and a seamless transition between staging and production environments, Rei Labs makes it look simple. Before launch, the company can ensure new tools such as R00Ms, a shared workspace where people and AI agents collaborate, meet the highest standards of security, accuracy, and performance.

Meanwhile, Gemini 2.5 Flash provides text processing 50% faster than any other model tested and delivers high-quality responses even at the maximum volume of information that can be processed and considered at once. With Rei Labs powered by Google AI, users can confidently rely on AI to collaborate on complex, specialist projects.