Abstract

Introducing The First Decentralized B2B AI Agent Middleware Layer With HuggingFace Integration: Bringing Enterprise Grade Agents To Blue Chips & SMEs

Whilst the first wave of the AI agent boom has focused on consumer applications, the B2B market is anticipated to be an even bigger opportunity, estimated by McKinsey to be worth $4.4T per year. However, adoption of AI agents by enterprises faces a number of challenges. Off-the-shelf platforms like ChatGPT and Claude provide powerful capabilities but often fall short in addressing specific business needs, such as data privacy, security, customization, and cost efficiency at scale. This is especially true for businesses that handle sensitive data that they cannot or prefer not to share with third-party platforms.

Cerebrum solves this problem by introducing the first decentralized B2B AI agent middleware layer, allowing businesses to create their own in-house agents with one-click deployment. By allowing both blue chip companies and SMEs to build their own bespoke, enterprise grade AI agents, Cerebrum ensures that data remains within the organization’s controlled environment, aligning with compliance and security regulations. Meanwhile, the agents can be tailored to the specific needs, tone, and use cases of the business, whilst allowing for the fine-tuning of proprietary datasets to improve domain-specific understanding and performance. It also ensures businesses avoid vendor lock-in and are not dependent on external providers, ensuring flexibility and control over updates, features, and integrations. For businesses with heavy usage requirements, maintaining their own AI agents via Cerebrum can be more cost-effective in the long term than paying per-usage fees to off-the-shelf platforms.

Cerebrum also provides full integration with HuggingFace, which ensures seamless access to the world’s largest library of AI models and agents. This means B2B clients can easily combine thousands of pre-trained models across diverse domains into bespoke applications that meet their needs. Building on this established library of models and agents also allows for rapid prototyping and interaction so that businesses can quickly experiment with different models to determine what works best for their use case.

Finally, Cerebrum has built out a comprehensive, decentralized network of GPUs that businesses can use to deploy their agents on once they have been created. Leveraging a unique software architecture, our system decomposes large, compute-intensive tasks into smaller, manageable units. These units are efficiently distributed across clusters of computers within our network, transforming numerous smaller machines into a singular, powerful supercomputer. This approach modernizes the concept of cluster computing with a focus on GPU utilization. The decentralized GPU layer ensures there is no single point of failure whilst also ensuring constant availability and reduced cost of compute power.

Taken together, the product features allow Cerebrum to offer enterprises a complete end-to-end solution all the way from AI agent creation through to deployment. Welcome to the future of enterprise grade B2B AI agent infrastructure.