According to ChainCatcher, B.AI has officially announced that its team-level AI collaboration product, 'B.AI Team', has entered the first phase of grayscale testing, while simultaneously launching a global open recruitment for initial experience teams. This move marks a key step for B.AI in transitioning from an individual AI assistant to an enterprise-level intelligent collaboration platform, offering new efficiency tools for the crypto industry and Web3 teams.
Core Features: Shared Compute and Granular Permissions
The B.AI Team version tackles two major pain points in enterprise AI collaboration. First, it introduces a shared Credits pool mechanism, allowing team members to pool compute resources, while enterprises can view real-time cost consumption for cost visualization and resource optimization. Second, B.AI Team offers a flexible multi-level member permission system that allows teams to finely configure model usage strategies by role (e.g., admin, developer, operator) based on actual division of labor, ensuring different positions only access the AI capabilities matching their responsibilities, balancing efficiency and security.
Recruitment Details: Priority Experience and Dedicated Onboarding
Starting today, interested teams can submit their requirements via the official B.AI application link, briefly describing their core use cases (such as code assistance, content generation, data analysis, etc.). After approval, the B.AI team will assign a dedicated contact person and grant priority access rights when the official version launches. For crypto industry teams, B.AI Team's shared Credits pool and multi-level permission design are particularly suitable for multi-project parallel work and role-isolated decentralized collaboration scenarios, potentially becoming a powerful AI productivity booster for DAOs, crypto funds, developer communities, and similar groups.
Industry Perspective: AI Collaboration in Crypto
As large language models penetrate coding, analysis, and content generation, crypto teams' demand for AI tools is extending from personal assistants to team collaboration. B.AI Team's grayscale testing arrives at the right time: its shared Credits mechanism solves the pain point of fragmented and hard-to-manage compute costs, while the permission system meets the special needs of Web3 teams for frequent role changes and fine-grained control. If testing goes smoothly, B.AI could become one of the first projects to offer professional-grade team AI collaboration services in the crypto sector.