Aresta targets informal workers, students, and distance learners left behind by the digital revolution, translating their human potential into market-ready skills. In Brazil, where 84% of employers struggle to find qualified talent (per Robert Half), AI remains a tool primarily used by the Class A. We break this cycle by democratizing AI for non-digital natives through a natural language mentor that ditches technical jargon. By focusing on the World Economic Forum’s core skills for the future, we provide practical reskilling for informal workers and distance learners, using Data Science to match real-time market demand with a user’s existing talents to boost the national GDP.
Our elite squad is built to turn this vision into a scalable reality. Livia, a ambev hackathon winner, leads product and strategy with an agile business mindset, while João frontend specialist transforms complex concepts into fluid, high-fidelity user experiences. The system is backed by Enzo, a developer focused on high-performance microservices and an ML specialist, Isaac, mastering AI agents, RAG, and LLMOps. Together, we combine infrastructure, intuitive design, and applied intelligence to build ARESTA that solve real social problems by bridging the gap between what people can do and what the new economy actually requires.