Cartha

AI systems are moving from simple chatbots to autonomous agents that make decisions, call tools, access data, and take actions on behalf of businesses. But most companies still cannot reliably see, trace, or prove what those AI systems are doing. Engineering teams struggle to observe AI behavior in production—what an agent did, which tools it used, why it made a decision, and where failures occurred. At the same time, compliance and risk teams need evidence that AI decisions were made safely, within policy, and can be audited when something goes wrong. Today, these teams often rely on fragmented logs, manual controls, and expensive custom instrumentation. This creates a critical gap: engineering can build AI systems, but organizations cannot confidently prove how those systems behave. Cartha closes that gap. It provides zero-code instrumentation and real-time observability for AI systems, while automatically creating a verifiable audit trail that compliance and risk teams can use to monitor, investigate, and govern AI decisions. One platform to see what AI is doing, understand why it did it, and prove it afterward.