OXIO operates a cloud-based telecom-as-a-service platform that abstracts away traditional carrier infrastructure and exposes mobile data as a product layer. The tech stack is heavily polyglot (Go, Java, Kotlin, C++, Node.js) and cloud-native (AWS, GCP, Azure, Kubernetes, gRPC), indicating a distributed systems approach to blending multiple carrier networks in real time. Active projects center on a branded MVNO platform, customer 360 dashboards, real-time network monitoring, and a data architecture migration — suggesting the company is simultaneously scaling customer-facing product, ops observability, and internal data infrastructure.
OXIO provides cloud-native infrastructure for enterprises and brands to operate custom mobile networks without owning spectrum or carrier assets. Founded in 2018 and headquartered in New York with offices in Mexico City and Montreal, the company aggregates wireless infrastructure from multiple providers through a SaaS control plane. The platform exposes mobile connectivity and network data to customers within days rather than months, positioning it as an alternative to traditional MVNO and carrier partnerships. The engineering-heavy organization (distributed across US, Canada, Mexico) is actively hiring across platform development, data architecture, and network operations to support product expansion and infrastructure scaling.
Go, Java, Kotlin, C++, Node.js, GraphQL, gRPC, AWS, GCP, Azure, Kubernetes, DynamoDB, PostgreSQL, Elasticsearch, Prometheus, Grafana, Apache Spark, Airflow, dbt, and Terraform.
New York, NY. Additional offices are in Mexico City and Montreal, Canada. The company actively hires across all three regions.
OXIO'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.