DEUNA operates a payment infrastructure platform serving multinational e-commerce enterprises, routing transactions through 350+ certified payment provider integrations. The tech stack is heavily cloud-native (AWS, Kubernetes, containerization) with strong API orchestration (AppSync, Lambda), and the hiring mix is sales-heavy with concentrated senior leadership — reflecting both their growth into new regions (Mexico, Colombia, Brazil, U.S.) and the customer-facing complexity of global payment operations. They're actively building CI/CD and cloud automation capabilities while launching Athia, an agentic layer designed to surface optimization opportunities directly from transaction data.
Notable leadership hires: Chief of Staff
DEUNA provides payment infrastructure for large enterprises managing multi-market commerce operations. The platform integrates with 350+ payment providers and orchestrates localized payment experiences at scale. The company powers approximately 30% of e-commerce volume across key regions and is expanding into the U.S. market. Beyond infrastructure, DEUNA is embedding agentic intelligence (Athia) into the payment platform to help enterprises optimize approval rates, reduce operational costs, accelerate reconciliation, and recover revenue from transaction data. The company is headquartered in New York City and operates across the U.S., Mexico, Colombia, and Brazil.
DEUNA runs on AWS (Lambda, ECS, EKS, AppSync, CloudFront, VPC, Transit Gateway) with Kubernetes and Docker for orchestration. Frontend is React/Next.js/TypeScript; backend uses Go and Python. Infrastructure-as-code is Terraform/CloudFormation.
Current projects include agentic AI recruiting tools, client integration strategy, cloud infrastructure design/automation, containerized platform orchestration, and CI/CD pipeline architecture. The company is launching Athia, an agentic intelligence layer for payment optimization.
DEUNA'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.