MOTER builds a serverless, Java-backed API platform on AWS to surface driving risk and safety insights from connected vehicle data. The stack reveals a cloud-native, event-driven architecture (Lambda, Step Functions, EventBridge, SQS/SNS) paired with a modern web frontend (React, Next.js, React Native). Active hiring across 5 engineering roles—mostly lead and senior—suggests either scaling a core platform or backfilling architectural gaps; the concurrent focus on AI-driven test automation and CI/CD infrastructure points to internal tooling maturity as a scaling blocker.
MOTER Technologies is a software and data science company founded in 2021 and based in Torrance, California. The company bridges automotive and insurance by commercializing connected car data, developing usage-based insurance products, and producing underwriting and risk assessment tools. Partners include OEMs, Tier 1 suppliers, insurers, and fleet operators. The platform surfaces driving behavior and vehicle safety patterns, feeding white-labeled insurance interfaces and claims visualization tools. Current pain points center on streamlining claims workflows, enhancing underwriting efficiency, and improving risk assessment accuracy.
Java, TypeScript, React, Next.js, and React Native for application layers; AWS (Lambda, Step Functions, DynamoDB, AppSync, EventBridge, SQS/SNS) for backend and event infrastructure; Terraform for IaC; Datadog and New Relic for observability; Guidewire for insurance platform components.
Core projects include serverless API platform development, cloud-native infrastructure on AWS, white-labeled insurance product interfaces, claims visualization, and an AI-driven test automation toolchain. CI/CD runner fleet deployment and internal Terraform libraries indicate platform engineering investment.
MOTER Technologies'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.