Product Launch: B.AI Team Gray Testing Begins
According to ChainCatcher, B.AI has officially announced that its team-level AI collaboration product, “B.AI Team,” has entered the first phase of gray testing and is simultaneously recruiting early adopter teams globally. The product is designed for enterprise AI collaboration, aiming to solve common pain points such as computing resource management, cost allocation, and permission control.
Core Features: Computing Resource Pooling and Fine-Grained Permissions
The key highlight of this gray release is the shared Credits pool mechanism. It allows teams to aggregate individual members' AI computing resources into a unified pool, enabling centralized resource scheduling and transparent cost tracking. Additionally, the product includes a flexible multi-level permission system that supports fine-tuned model usage policies based on different roles (e.g., admin, developer, regular member), ensuring AI capabilities adapt to diverse team workflows.
Application Process and Early Benefits
Teams interested in participating can submit their requirements through the official application link, briefly describing their core use cases. B.AI will assign a dedicated contact person to guide approved teams through the process. As early adopters, these teams will receive priority access when the official version launches, allowing them to leverage intelligent collaboration ahead of the market. This move reflects B.AI's strategic push into the intersection of AI and Web3 collaboration, potentially reshaping enterprise AI tool ecosystems.