Rizonetech

IsItLegit helps small businesses investigate suspicious emails, invoices, documents, and websites before they trust a message or make a payment. It grew from our experience supporting South African businesses, where a convincing supplier email or changed bank account can put a payment at risk. Members forward an email or upload a file and receive a plain-language verdict, cited evidence, and practical next steps. The investigation combines sender and domain checks, document analysis, business context, and Meta model reasoning. Instead of asking users to interpret an unexplained risk score, it shows what was found, why it matters, and what to do next. Muse Spark interprets content and weighs the evidence. Muse Wonder supports contained browser investigations, SAM contributes image segmentation, and Muse Voice Transcribe makes voice notes available for analysis. Code enforces schema validation, evidence citations, and deterministic risk floors. No model can dismiss a critical warning sign or invent a valid evidence reference. Business protection features include lookalike-domain monitoring, public verification pages, signature badges, and a public trust seal. A badge links to the business’s current status; it is not, by itself, proof that an email is genuine. We built the marketing site, branding, code, and deployment in nine days. The public repository includes setup instructions, disclosed pre-existing tooling, and documented limitations. Our experimental Loupe fine-tune did not meet the release bar and was removed from production; its results remain documented. The demo uses synthetic examples, and we do not claim perfect detection or measured fraud-loss reduction