
Bedrock is a grounding firewall for enterprise AI outputs. Teams are increasingly using LLMs to draft sales briefs, investment memos, board updates, and research summaries, but those outputs often mix true facts, stale numbers, unsupported claims, and opinions with the same confident tone. Our system turns an AI-generated paragraph into atomic claims, classifies each claim as a checkable fact, opinion, or unverifiable statement, retrieves live web evidence, and returns a verdict for each claim: SUPPORTED, CONTRADICTED, or INSUFFICIENT. The result is rendered back onto the original text with green, red, and yellow highlights, plus clickable source receipts. Bright Data powers the retrieval layer, giving the app access to live web sources instead of relying on frozen model memory. We prioritize primary sources such as SEC filings, investor relations pages, company newsrooms, and official press releases, while downranking low-trust reposts and content farms. On top of that evidence layer, we run a multi-judge adjudication pipeline to separate genuine contradictions from missing evidence. The demo uses NVIDIA claims to show three important enterprise failure modes: true claims with citations, a stale revenue figure contradicted by newer financial results, and a fabricated Boeing joint venture that receives an insufficient-evidence warning rather than a false contradiction. Bedrock is “Snopes for enterprise AI”: a trust layer between AI-generated content and human decisions.
31 May 2026