B.AI has officially announced that its team-level AI collaboration product, 'B.AI Team', has entered the first phase of grayscale testing. Simultaneously, the project is launching a global public recruitment for the first batch of test teams. This move marks an important milestone for B.AI in the crypto-AI space, targeting the pains enterprises face when using AI tools in a team setting.
Core Highlights: Shared Credits Pool and Granular Permission Management
The 'B.AI Team' version introduces a groundbreaking shared Credits pool feature. This feature allows team members to consolidate their compute resources into a single, shared pool, enabling centralized scheduling of computing power and transparent cost visualization. Team managers can track each member's usage in real time, preventing resource waste while reducing overall operational costs. The shared Credits pool also supports cross-project allocation, allowing large-scale tasks such as coding, data analysis, and content generation to flexibly call upon compute resources, thereby boosting collaboration efficiency.
Furthermore, the product offers a flexible, multi-level permission system. Teams can configure model usage policies based on roles (e.g., admin, developer, analyst, regular member), such as restricting certain models to internal use only, setting daily call limits, or prioritizing low-cost models. This granular control ensures that AI capabilities can truly adapt to different team workflows—whether it's a crypto development team or a marketing team, they can find a suitable configuration.
Grayscale Testing and Recruitment Plan: Early Teams Get Priority Benefits
According to the official announcement, interested teams can submit their requirements through the official application link and briefly describe their core use cases. After review, the B.AI team will assign a dedicated contact for onboarding support during the test period. More importantly, approved teams will receive priority access to the official version when it launches, ensuring seamless migration and continued smart collaboration experience.
The grayscale test recruitment is open globally with no restrictions on team size or industry, but priority will be given to crypto project teams, development studios, and data analysis teams with clear AI application scenarios. This strategy helps B.AI collect diverse feedback and further refine the product's performance in real-world scenarios.
Industry Significance: B.AI Pioneers a New Paradigm for Crypto-AI Collaboration
In the crypto industry, AI tool usage is evolving from individual assistance to team collaboration. B.AI's 'B.AI Team' fills a gap in the market for crypto-native team-level AI collaboration solutions. By introducing a blockchain-native credit economy model, the shared Credits mechanism not only improves compute utilization but could also integrate with token economics in the future, creating additional incentives for teams. The launch of grayscale testing signals B.AI's transition from public beta to production-grade verification, laying the groundwork for large-scale commercial deployment.
As competition in the crypto-AI track intensifies, B.AI's focus on team collaboration may establish a differentiated advantage in the enterprise market. The feedback from these early test teams will directly influence product iterations, making this a development worthy of close industry attention.