As AI integration deepens into daily life, the psychological risks posed by chatbots have moved from theoretical concerns to legal reality. Circuit Breaker Labs, a startup selected as a finalist in TechCrunch’s 2026 Startup Battlefield 200, is developing a testing framework designed to identify these vulnerabilities before they result in harm.
What Happened
Founded by siblings Shirali and Arul Nigam, Circuit Breaker Labs was motivated by high-profile incidents involving AI companions, including the wrongful death lawsuits filed against Character.AI and OpenAI. The founders cite the case of Sewell Setzer, a 14-year-old who died by suicide after interacting with a Character.AI bot, as a pivotal moment that highlighted how AI systems can misinterpret emotional cues. Arul Nigam, the company’s CTO, noted that users often engage with these systems naturally, seeking support, but the models frequently lack the context to understand the nuance of phrases like "I want to be with you," potentially leading to dangerous outcomes.
To address this, the startup has created AI agents that function as "crash-test dummies." These agents simulate users across various ages, backgrounds, languages, and cultures to test how models handle psychologically harmful interactions. Shirali Nigam, the CEO, explained that while models perform well with standard speech, they often fail when confronted with slang, typos, or coded language typical of real human communication. The platform runs tens of thousands to hundreds of thousands of simulated interactions daily, using human domain experts to build hyper-realistic simulations for red-team testing.
Why It Matters
The rise of AI in mental health support, coaching, and journaling applications has created an urgent need for robust safety evaluations that go beyond traditional benchmarking. Circuit Breaker Labs’ approach addresses a critical gap in AI safety: the ability to detect risks in long-term, nuanced interactions where users may develop parasocial relationships or experience "AI psychosis." By focusing on diverse demographic simulations, the startup aims to prevent scenarios where a model’s misunderstanding of context leads to active harm, particularly for younger or vulnerable users.
Although the company is in its early stages with only five employees, its work highlights a growing industry trend toward specialized safety labs for high-risk AI applications. Arul Nigam acknowledged that while public skepticism toward AI is increasing, banning the technology due to safety concerns would be "regressive." Instead, Circuit Breaker Labs posits that building trust through rigorous, auditable safety testing is the path forward for widespread adoption of AI companions and agents.
The Bottom Line
Circuit Breaker Labs is currently operating as an AI safety testing lab for high-risk applications, using proprietary scoring methods to provide explainable safety metrics. The startup is scheduled to pitch at TechCrunch Disrupt in San Francisco from October 13-15, 2026, where it will detail its efforts to mitigate the psychological risks of AI through adversarial testing and diverse user simulation.