Circuit Breaker Labs Aims to Shield Users From AI Psychological Harm

The company functions as an automated safety laboratory, using hyper-realistic simulations to perform adversarial red-teaming. By mimicking diverse demographics—ranging from young children to adults using regional dialects or coded slang—the platform attempts to identify where models fail to grasp context or provide dangerous responses. Arul Nigam notes that current systems often suffer from "context pollution," where a misunderstanding of human intent leads to harmful outcomes for users seeking support.

Circuit Breaker Labs runs hundreds of thousands of these simulated interactions daily, generating auditable safety scores for high-risk applications like AI mental health coaching and journaling tools. While the startup remains in its early stages with a five-person team, the founders view their work as a necessary evolution for the industry. Rather than advocating for bans on AI tools, they argue that rigorous, scalable testing is the only way to restore public trust and prevent the erratic, potentially dangerous behaviors that can emerge during long-term parasocial interactions with chatbots.