Jelou AI builds transaction-executing AI agents that integrate fintech and legacy systems for businesses in Latin America. The tech stack (Node.js, Python, React, AWS, Redshift, Airflow) shows a full-stack data + API approach, while hiring acceleration across sales (3 roles), product, and ops points to GTM scaling — a natural next phase for an RPA/fintech automation platform moving beyond proof-of-concepts into enterprise deployments.
Jelou AI helps businesses and financial services providers automate operations by building AI agents capable of executing secure transactions across integrated systems. The platform connects fintech tools, e-commerce systems, and legacy software through a conversational interface, with particular focus on WhatsApp-native workflows and Latin American markets (Mexico, Colombia, Ecuador). Founded in 2017 and headquartered in New York, the 51–200-person team operates primarily as a sales-led organization scaling enterprise account acquisition and reducing sales cycle friction through pipeline automation and forecasting tools.
Node.js, Python, React, AWS (Lambda, Glue), Redshift, PostgreSQL, Apache Airflow, Elasticsearch, and WhatsApp Business API. Primary data warehouse is Redshift; orchestration via Airflow; compute on AWS Lambda.
Fintech and e-commerce businesses in Latin America. The platform integrates legacy financial systems with AI agents to automate transactions, onboarding, and customer service workflows via WhatsApp and omnichannel interfaces.
Jelou AI's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.