Antier launches crypto wallet solution for LATAM enterprises

In Latin America, crypto adoption is often a pragmatic choice to counter hyperinflation and currency devaluation, especially in countries like Argentina and Venezuela. For businesses, this volatility makes managing payroll and cross-border payments in USD a significant challenge, driving demand for more stable digital assets like stablecoins. This creates a distinct market for solutions that can offer stability outside of traditional banking systems. Embedding payment processing directly into a SaaS platform is a core strategy for monetization and increasing customer retention. Platforms like Shopify and Toast have demonstrated this by turning payments into a primary revenue stream, often exceeding subscription income. They achieve this by taking a percentage of transaction volume, a model that scales revenue as their clients' businesses grow. The Payment Facilitator (PayFac) model, or using a PayFac-as-a-Service, allows software platforms to onboard users and manage payments without becoming a regulated financial entity themselves. This approach significantly reduces the time to market and the complexities of compliance, risk, and underwriting. It strikes a balance between controlling the user experience and outsourcing the heavy lifting of payment infrastructure. The global cross-border payments market is projected to reach $290 trillion by 2030, with real-time payments growing 42% in 2024 alone. This demand for instant settlement is driven by the need for improved cash flow and operational efficiency. Initiatives like SWIFT GPI and blockchain-based networks are reducing the reliance on traditional, slower intermediaries for international transactions. AI and machine learning are becoming critical for managing the complexities of modern payment systems. AI-driven intelligent routing can dynamically select the most efficient and cost-effective channels for transactions by analyzing real-time data on costs and success rates. For fraud detection, AI analyzes vast datasets to identify and block suspicious activities in real-time, moving beyond static rules to adapt to new threats.