The world of AI is changing fast—and London-based Coral Protocol is right in the thick of it. Their innovative system of specialised mini-models recently outperformed Microsoft’s platform by 34% on Meta’s GAIA (General AI Assistants) benchmark, which tests real-world tasks like reasoning, web browsing, data analysis, and tool usage. While humans nail about 92% of these tasks, even high-powered systems such as GPT-4 (with plugins) only manage around 15%. In this competitive field, Coral’s approach led the small-scale AI category, outpacing Microsoft’s Magnetic-UI that scored roughly 30%.
What sets Coral apart is its commitment to horizontal scaling. Instead of relying on one enormous model, they deploy a network of focused AI agents, each excelling at a specific task—whether it’s language comprehension or coding. These agents coordinate in real time, exchanging subtasks and results to deliver solutions that are not only swift and cost-effective but also secure and robust, even in resource-light environments. As Coral’s CTO, Caelum Forder, puts it, “This breakthrough marks a turning point in AI infrastructure. Horizontal scaling isn’t just possible, it’s practical, and Coral is the most effective way to do it. The Internet of Agents is now a working reality.” This hands-on approach echoes NVIDIA’s research that shows small models can match larger ones when used intelligently.
The timing couldn’t be better. The market for AI assistants is booming—rising from $15.3 billion in 2023 to $20.7 billion in 2024, with projections hitting $37.7 billion by 2026. In a world where billions of AI interactions occur daily, ensuring these exchanges are efficient, secure, and scalable is crucial. Beyond achieving a standout GAIA benchmark score, Coral Protocol is paving the way for an “Internet of Agents,” an open network where AI systems from various developers can seamlessly connect and collaborate. Their secure messaging protocol, MCP, even allows agents to form teams, verify identities, and conduct transactions autonomously.
If you’ve ever struggled with the limits of a single, all‑in‑one AI, Coral’s multi-agent method offers a refreshing alternative. By decentralising complexity, they’re setting the stage for smarter performance, better fault tolerance, and the flexibility future AI networks will demand. While there’s still a journey ahead toward creating a truly global Internet of Agents, Coral’s success on the GAIA benchmark is a promising sign of what collaborative AI can achieve.
For anyone keen on technologies that are both agile and efficient, Coral Protocol’s breakthrough provides a solid glimpse into the future of AI innovation.
