Circuit Breaker Labs is building an artificial intelligence testing layer focused on psychological risks that may emerge during ordinary interactions with users, rather than only on attempts to break the system through adversarial methods. The company uses simulation agents it describes as akin to digital “crash-test dummies” to represent users of different ages, backgrounds, languages, and cultures.
The idea comes at a time when artificial intelligence companies are facing lawsuits related to the effect of chatbots on underage users experiencing mental-health crises or suicidal thoughts. The company’s co-founders, brothers Shirali Nigam and Arul Nigam, say that some areas of risk do not emerge when users try to trick the system, but when they use it normally and their words or context are misunderstood.
Testing Language as People Actually Use It
Circuit Breaker Labs relies on human experts to build user simulations that include realistic speech patterns, slang, coded language, spelling errors, and differences between native speakers and people who speak a language as a second language. The company believes that a model may handle standard language well but misunderstand a short expression or slang term when context accumulates across multiple conversations.
The platform conducts “red-team” tests designed to uncover weaknesses, ranging from tens of thousands to hundreds of thousands of simulated interactions per day. The company then uses a proprietary scoring mechanism to produce scores it says are auditable and interpretable.
What Changes in Practice?
Rather than simply examining individual responses, the platform attempts to test whether a model will respond appropriately to a dangerous interaction that develops gradually across several conversations. This is particularly important in AI coaching, journaling, and mental-health support applications, where a user may turn to the system for support rather than to test its boundaries.
The company says the platform’s scope could later extend to “coworker” agents and other applications that may create a quasi-social relationship between a user and a conversational program. However, this expansion remains a future concept, as Circuit Breaker Labs currently operates as a testing laboratory for high-risk artificial intelligence applications and has not disclosed the names of its principal clients.
Current Stage and Limitations
The company has a functioning product, but it is still at a very early stage, with only five employees, including the Nigam brothers. The material also provides no details about the proprietary scoring methodology, independent comparative results, or client names, making it currently difficult to assess the platform’s effectiveness beyond the company’s description.
certi.news analysis: The initiative reveals an important shift in model-safety testing: risk may result from misunderstanding dialect, age, or cultural context, not only from an explicit harmful request. The value of this approach will depend on how realistic the simulations are, its ability to detect harm over time, and the transparency of the scores it produces. The company’s statements about building trust are not sufficient on their own to establish improved safety; verifiable data and results from clients or independent organizations will be needed later.