Financial services platform for trucking factoring with cloud-native infrastructure
OTR Solutions operates a factoring platform serving the trucking industry, built on a polyglot stack (C#/.NET, Go, Java, JavaScript/React Native) with Salesforce, NetSuite, and PostgreSQL/Elasticsearch backing core operations. The company is actively migrating toward cloud-native architecture and AI-powered document processing while wrestling with manual invoice workflows and email-dependent communication — pain points that map directly to their projects around automated financial workflow optimization and database schema redesign.
OTR Solutions provides factoring services to trucking companies, with a focus on invoice financing and cash-flow acceleration. Founded in 2011 and headquartered in Roswell, Georgia, the company operates at scale with 201–500 employees. The platform spans mobile apps (iOS/Android via React Native), web interfaces (React), and backend services across multiple languages. Core integrations run through Salesforce and NetSuite, with data stored in PostgreSQL and indexed in Elasticsearch. The business model centers on rapid invoice processing and strong client relationships; operational maturity remains a focus area given their active investment in automation and security controls.
C#/.NET, Go, Java, and JavaScript/TypeScript across backend services. Frontend spans React and React Native (iOS/Android). Data layer: PostgreSQL, Elasticsearch, Datomic. Infrastructure: AWS. DevOps: Jenkins, Bitrise, CI/CD pipelines. Integrations: Salesforce, NetSuite.
Roswell, Georgia, United States. All current hiring is US-based. The company was founded in 2011 and operates with 201–500 employees.
OTR Solutions'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.