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Scaled Cognition Raises $100M to Build Reliability-First AI for Enterprise

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10

Why it matters

Scaled Cognition, a newly launched AI company founded by Dan Klein, has raised $100 million in Series A funding led by Khosla Ventures to build enterprise-grade AI systems designed for reliability rather than raw capability. The company focuses on "Large Action Models" and verifiable reinforcement learning, positioning itself against the current generation of AI tools that deliver inconsistent results. Scaled Cognition has announced partnerships with Genesys for virtual agent deployment and integrations with Baseten and Together AI for infrastructure.

The company's core technology, called VeriGraph, fact-checks AI outputs against live web data and generates confidence scores for model responses. The exact scope of Scaled Cognition's initial product roadmap and timeline to market remain undisclosed. Details on how VeriGraph performs at scale and whether the company plans to license the technology or build proprietary applications have not been announced.

For enterprise counsel and in-house legal teams, this funding round signals a market shift toward AI systems built with verifiable outputs and explainability—a development with direct implications for liability, compliance, and regulatory risk. As AI adoption accelerates across industries, the ability to demonstrate that systems produce trustworthy, auditable results will likely become table stakes for procurement and risk management. Attorneys should monitor whether Scaled Cognition's approach influences industry standards for AI governance and whether regulatory bodies begin requiring similar verification mechanisms for AI systems used in regulated sectors.

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