Navigating Complexities
Unpredictable
AI systems generate hallucinations and inadvertently leak sensitive information, compromising their reliability.
Incoherent
AI responses are inconsistent in their outputs and reasoning, creating challenges to effective interaction.
Inept
Systems fail on basic tasks, raising significant obstacles to building reliable automation.
Uninterpretable
AI's inner workings remain uninterpretable, making it difficult to trust the accuracy of its outputs and debug when it’s incorrect.
Building and deploying AI systems that are both powerful and safe faces great challenges in the current AI paradigm. And so, we are building Cognitive Emulation: A different vision for powerful AI systems that are designed to follow the same, trusted reasoning processes we do.
Capability vs. Safety
Cognitive Emulation pioneers a paradigm where AI systems solve problems akin to human experts. By translating expert workflows into reusable AI pipelines, Cognitive Emulation facilitates human-like problem solving, driving efficiency, accuracy, and trust in AI deployment.
Streamlined Workflows
Enhanced Reliability
Reduced Unintended Consequences