IONNA is a charging infrastructure company founded in 2023 by BMW, General Motors, Honda, Hyundai, Kia, Mercedes-Benz, Stellantis, and Toyota to build a large-scale EV charging network across North America. The stack—AWS, Terraform, EKS, Kafka, Python, Salesforce, and BI tools—is operationally mature for cloud-native deployment at scale. Pain points cluster around regulatory compliance (permitting, utility coordination, AHJ entanglement) and sales execution (dealership activation, attribution modeling, user conversion), indicating the company is bottlenecked by real-world deployment friction, not engineering capacity.
IONNA operates as a charging network platform owned by a coalition of eight global automotive manufacturers. The company is responsible for deploying and managing a minimum of 30,000 EV charging stations across North America, with a focus on accessibility and reliability. Operations span site selection, permitting and utility coordination, dealership partnerships, and customer experience through charging sessions. The organization is 51–200 employees, headquartered in Durham, North Carolina, and currently scaling engineering, marketing, data, and design functions to support network expansion and program performance tracking.
AWS (including EKS, Lambda, MSK, Secrets Manager), Terraform, ArgoCD, Helm, Python, Salesforce, Tableau, Power BI, React, TypeScript, and Next.js. Secondary tools include GIS, AutoCAD, and Hadoop/Spark for analytics and site planning.
Current priorities include cloud infrastructure reliability, security hardening, site portfolio coordination (permitting and utility engagement), analytics dashboards for charging session attribution, and dealership activation programs to convert EV buyers into active network users.
IONNA'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.