LLM Output Validator for Financial Reports

A tool that validates LLM-generated financial and regulatory reports by cross-checking numbers, detecting hallucinations, and flagging inconsistencies before submission to bosses or the SEC. Targets finance professionals, IR teams, and compliance departments who need AI efficiency without accuracy risks.

Financial teams are actively deploying LLMs to draft earnings releases, 10-Ks, and board decks right now, but the accuracy liability hasn't been solved — SEC enforcement around material misstatements doesn't care whether a human or an AI made the error. No clear incumbent owns this specific validation layer; Harvey and Kira focus on legal, and general LLM guardrail tools like Guardrails AI aren't built around GAAP logic or XBRL cross-checks. The $2k–10k/mo revenue band is realistic given that a single compliance misstep can cost a public company millions, making even modest pricing an easy ROI justification for IR or legal teams. The biggest risk is distribution: compliance and finance buyers move slowly, require vendor security reviews, and may insist on enterprise contracts that take 6–12 months to close, which will starve a solo founder before they hit meaningful MRR.