ReflectionAI Says Their Asimov Agent is a Step Towards Superintelligence

Reflection AI, a startup founded by former DeepMind researchers Misha Laskin and Ioannis Antonoglou, says that understanding software, and not just generating it, is essential to building more intelligent AI systems. They’ve designed their first product, Asimov, to do just that. The company describes it as a code comprehension agent: a tool built to help engineering teams navigate complex codebases and surface relevant knowledge buried across systems.

Asimov is also Reflection’s first step toward a larger goal: building superintelligent agents capable of reasoning across domains. “Superintelligent code understanding is the prerequisite for superintelligent code generation,” the company wrote in a blog post announcing the product. The underlying belief is that software is one of the most structured, information-dense environments in which to train and evaluate advanced AI.

For now, Asimov is focused on more immediate use cases: helping engineers understand how large systems work, preserving institutional memory, and making technical knowledge accessible across teams.

A Teamwide System of Record

The company says Asimov is built to integrate directly into an organization’s development environment. It ingests codebases, documentation, project threads, Slack logs, and more, creating what Reflection calls a persistent memory of the software system. The architecture uses multiple AI agents: smaller retrievers gather relevant context, while a central reasoning model synthesizes responses to user queries.