Emptor

Emptor offers fast and accurate identity validation and background checks across Latin America, leveraging artificial intelligence and legal expertise to support optimal hiring decisions. The company customizes its services to meet the needs of various industries, including startups, recruiting firms, international staffing companies, financial services, and the gig economy. Emptor operates in multiple countries such as Mexico, Panama, Brazil, Colombia, Peru, Chile, Ecuador, and Costa Rica, validating documents and personal data like national IDs, tax IDs, social security numbers, and driver’s licenses. The company performs criminal background checks using state and federal court records, police records, and international sanctions lists, and provides additional reports like police certificates, arrest warrants, and tax debts. Emptor integrates with Greenhouse for automated background checks and identity validation, and offers a professional plan priced at $100 per user per month, which includes background checks for up to 20 profiles and multiple verification tools. A tailor-made plan with unlimited background checks and multiple verification tools is available starting from $200 per month. Emptor partners with companies like DiDi and Cornershop to streamline background checks and onboarding processes, and has expanded its services to Costa Rica while growing its product offerings in Peru. The company serves a variety of industries including proptech, hospitality, and vehicle validation, and offers a free trial for the professional plan, allowing users to try 5 checks for free. Emptor ensures compliance with local regulations and provides data-driven decision-making tools, boasting the highest candidate approval rate in the region. Using over 500 sources of data, Emptor offers a user-friendly dashboard and API integration for easy use and quick results, and provides detailed and in-depth reports for financial services to ensure engagement with the right customers. The company supports fair chance hiring and adapts to large volumes of candidates without bottlenecks.