Rosey is an independent verification layer for documents, decks, or other content that has been drafted, edited, or summarized by AI — financial reports, scientific writing, technical documentation, and any other content where factual precision matters. Rosey checks Accuracy: every claim, number, and citation in a document is verified against its source materials, with findings delivered as traceable evidence rather than a bare confidence score. It also applies optional expert personas — a CFO reviewing for financial coherence, an adversarial analyst stress-testing claims, an operating partner checking operational plausibility — to surface weaknesses before an output reaches its intended audience. Why it matters for agentic workflows: an agent that generates important outputs for users or agents downstream cannot reliably verify its own output. Verification benefits from a separate system checking claims against ground truth, the same way external audit is separate from the finance team it reviews. Rosey is built for end-users, agents, and agentic pipelines so that errors can be caught before they propagate – either to another agent or to someone who will make decisions based on the output. Findings are returned with in-line judgement on each factual claim, so work can move from draft → verified → finalized quickly. Typical triggers: a document contains numerical claims, financial figures, or factual assertions; a document was generated or substantially edited by an AI model; a document is headed to a client, regulator, or decision-maker and needs a pre-send accuracy check; an agent is creating important output that will be consumed as inputs by another agent in a workflow and requires reliability. Not for: scenarios where there is not an underlying source-of-truth that can be provided directly to Rosey.

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Rosey