Probably

Probably initially targeted enterprise customers operating in high-stakes domains where AI hallucinations posed genuine business risk—financial services, healthcare, and legal technology. Their core assumption was that organizations handling sensitive information would prioritize accuracy over speed and would pay premium prices for AI systems with verifiable reliability guarantees. However, the available sources don't provide detailed information about whether Probably discovered their actual customer base differed from these initial assumptions, or what specific validation signals emerged during their customer acquisition efforts. The $9M funding round suggests investors believed in the market opportunity, but concrete details about early customer wins, deployment patterns, or whether they pivoted their targeting strategy remain limited in public records. What's clear is that their positioning around preventing hallucinations and matching deterministic system accuracy addressed a genuine pain point across regulated industries. Whether they successfully reached their intended buyers or discovered unexpected demand elsewhere in their go-to-market execution isn't documented in available sources.