San Francisco-based startup Cobalt AI is accelerating the expansion of its comprehensive AI data and evaluation platform to meet the growing demands of advanced artificial intelligence development. As AI systems become more complex, the company is positioning itself as a critical infrastructure partner for AI labs, AI agent developers, and institutional investors seeking high-quality, expert-driven datasets.
Unlike conventional data providers, Cobalt AI focuses on delivering rigorously curated and professionally validated data. AI labs, in particular, now require a much higher standard of data quality and evaluation accuracy to build reliable, scalable, and high-performing AI systems. Therefore, Cobalt AI has built its platform around expert knowledge, proprietary datasets, and structured evaluation frameworks tailored specifically for advanced AI research and deployment.
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The company sources curated insights from world-class professionals, including physicians from Mayo Clinic and senior executives from globally recognized companies such as SpaceX and Google. In addition, it integrates systematic evaluation methodologies that help organizations measure AI capability improvements more effectively. As a result, its infrastructure supports not only AI research labs but also companies developing autonomous AI agents and institutional investors analyzing AI-driven opportunities.
Importantly, Cobalt AI aims to bridge the widening gap between generic data access and specialized expert knowledge. By combining proprietary expert datasets with structured evaluation tools, the company enables organizations to validate AI performance with greater confidence. This approach strengthens model training processes while also enhancing investment decision-making in the rapidly evolving AI ecosystem.
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“AI labs, companies building AI agents, and institutional investors are our core customers. They require a level of data quality and evaluation rigor that goes far beyond what’s available through conventional data providers,” said Daniel Blay, Founder of Cobalt AI. “These organizations need access to expert-curated datasets from world-class professionals, physicians at Mayo Clinic, senior executives at SpaceX, and robust evaluation frameworks that can actually measure AI capability improvements. Our platform bridges that gap by providing proprietary expert data combined with evaluation tools not available elsewhere.”
Cobalt AI operates at the intersection of expert knowledge curation and artificial intelligence development, reinforcing its commitment to supporting next-generation AI systems and autonomous agents.
Before launching Cobalt AI, Daniel Blay served as Vice President at Zipline, a San Francisco-based robotics company specializing in autonomous logistics systems. He earned his Bachelor’s degree in Econometrics from the University of Sydney, bringing both technical expertise and operational leadership experience to the venture.
As AI adoption continues to accelerate globally, Cobalt AI’s expert-first approach could play a significant role in shaping how organizations train, evaluate, and invest in advanced AI technologies.
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