Bayonet is a fraud prevention and revenue optimization platform that serves e-commerce businesses, fintech companies, and digital payment providers across Mexico and Latin America. Founded in 2016 and headquartered in Cuauhtémoc, Mexico City, the company utilizes machine learning and artificial intelligence to detect and prevent online fraud in real-time while maximizing transaction approval rates. The platform monitors transactions within milliseconds, analyzing multiple data points including card types, IP addresses, device fingerprints, purchase amounts, and behavioral signals to distinguish legitimate customers from fraudulent actors. Bayonet operates a collective intelligence network that connects major fintech clients including RappiBank, UnDosTres, Moneypool, Pagaloop, and Dapp, enabling shared fraud detection data across participating companies. According to the company's data, between 15 and 52 percent of fraud attacks come from recurring fraudsters who move between different platforms. The company's solutions address payment fraud, chargebacks, account takeovers, and identity theft across multiple verticals including payment service providers, digital wallets, online lending, retail, and ticketing. Bayonet reports that clients achieve fraud reduction of up to 80 percent and transaction approval rate improvements of up to 20 percent. The platform is designed specifically for the Latin American market with faster implementation timelines than international competitors and pricing structures tailored to startups and SMEs. The company has raised approximately $600,000 in venture funding from investors including Avalancha Ventures, Soldiers Field Angels, Rappi co-founders, and Angel Ventures Mexico. Bayonet competes with international fraud prevention providers such as Sift, Signifyd, and ClearSale, while serving as a key infrastructure provider for Mexico's growing digital economy and fintech ecosystem.