Inspired Cognition was founded with the singular idea: how can we optimize AI system development, making it more efficient, effective, and reliable?
Modern AI systems are opaque. We build tools to optimize the AI R&D lifecycle, rapidly identifying system pain points and inspiring creative solutions that solve your most pressing problems.
Inspired Cognition was founded based on award-winning research and open-source software developed in collaboration with Carnegie Mellon University, and many others. See a sampling of the tools we currently support below:
Artificial Intelligence (AI) is becoming as much of a force for world progress as software. However, unlike traditional software engineering, AI engineering introduces a variety of new challenges. Specifically, developing AI systems involves a large amount of design choices with uncertain implications.