Non-experts can’t trust LLM outputs — expert-in-loop verification + upskilling

Non-experts can’t trust LLM outputs — expert-in-loop verification + upskilling targets a $30.0B = 300k enterprises x $100K ACV (enterprise AI governance & verification spend) total addressable market with medium saturation and a year-over-year growth rate of 40%+ (enterprise AI governance & prompting tooling adoption).

Key trends driving demand: Enterprise LLM adoption -- rapid rollout of LLMs across functions increases demand for verification and provenance.; Regulatory scrutiny -- privacy and safety regulations push companies to add auditability and human verification.; Shift to human+AI workflows -- organizations prefer hybrid workflows where humans validate high-stakes outputs.; Skills gap -- many knowledge workers lack domain/AI literacy, creating demand for upskilling and verification services..