AI model lab Scaled Cognition announced it has raised $100 million in a Series A funding round led by Khosla Ventures. The company is focused on solving one of the biggest challenges in AI today: reliability. While AI systems have become remarkably capable, they remain prone to mistakes and hallucinations that limit their use in critical enterprise workflows.
Scaled Cognition is building AI that enterprises can trust, and is already in production with Fortune 500 enterprises across financial services, healthcare, telecom, and insurance — where a wrong answer has real consequences.
Scaled Cognition was co-founded by CTO Dan Klein, a UC Berkeley professor of AI and leading natural language processing researcher, and CEO Dan Roth, who together previously built and sold one of the first agentic AI companies to Microsoft. The funding will be used to expand the company’s research team and accelerate enterprise deployments.
Scaled Cognition’s first flagship model is APT (Agentic Pretrained Transformer), which delivers the conversational quality of leading AI models while eliminating hallucinations and guaranteeing policy-adherent performance, what the company calls Super-Reliable Intelligence.
Genesys, a global cloud leader in AI-Powered Experience Orchestration serving more than 8,000 organizations in over 100 countries, utilizes APT within the Genesys Cloud platform for agentic virtual agent capabilities. Genesys has also invested in Scaled Cognition.
“The way to quickly get into the market is to take a frontier model and put a layer on top. What Scaled Cognition did was develop a different approach, then combine it with the best of LLMs,” said Vinod Khosla, founding partner of Khosla Ventures. “That took more research and more developmental risk. Most people are too lazy to do that. The result is Super-Reliable Intelligence: a model that will not give you a wrong answer. In any industry where an agent takes a real action, nothing else counts.”