Cloud software modernizing vehicle titling for motor vehicle agencies
CHAMP builds cloud software that digitizes vehicle titles for motor vehicle agencies and their partners. The stack pairs a Java/Spring Boot backend with Apache Camel and RabbitMQ for message-driven integration, plus AWS Bedrock, Document AI and RAG, pointing to AI-assisted document processing layered onto legacy government system integration. Hiring is accelerating and spans product, government and implementation roles, consistent with a public-sector, deployment-heavy sales motion.
CHAMP is a privately held software company headquartered in Cleveland, Ohio, founded in 2018. It develops cloud-based platforms that let motor vehicle agencies issue and manage digital vehicle titles that can be transferred and verified electronically. Its customers are government motor vehicle agencies and the stakeholders that interact with them. The company employs 51–200 people and hires in the United States, with its specialties spanning automotive titling and distributed ledger technology.
CHAMP uses Java with Spring Boot, Hibernate and Apache Camel, RabbitMQ messaging, Python, and a TypeScript/React frontend, running on AWS with Docker and Terraform, plus AWS Bedrock and Document AI for AI workloads.
Job posts point to a next-generation product, backend services and APIs, a message-driven architecture on RabbitMQ, core modules and SDK components, and an end-to-end data architecture with a cloud-native ETL/ELT framework.
CHAMP is headquartered in Cleveland, Ohio, and hires within the United States across product, engineering, government, operations and sales roles.
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CHAMP'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.