AI talent intelligence and enterprise automation platform built on microservices
Bright Vision Technologies builds Lumina, an AI-powered platform for talent sourcing and enterprise workflow automation. The tech stack reveals a company managing legacy system integration (COBOL, iSeries, UFT) alongside modern cloud infrastructure (AWS, Azure, GCP, OpenShift) and emerging AI tooling (LangChain, RAG, now adopting OpenTelemetry). Heavy engineering hiring (154 roles) skewed toward senior engineers suggests they're scaling both core platform development and a substantial professional-services or consulting operation supporting multi-cloud deployments.
Notable leadership hires: Lab Director
Bright Vision Technologies is a minority-owned software company founded in July 2020 and headquartered in Bridgewater, New Jersey. The flagship product, Lumina, combines AI-driven candidate sourcing, generative AI orchestration, blockchain-based credential verification, and enterprise workflow automation. The platform integrates with CRM, ERP, HRMS, and ATS systems and runs on a microservices architecture across AWS, Azure, GCP, and Red Hat OpenShift. The company operates primarily in the United States and India, with an active hiring focus on engineering talent to support both product development and customer implementation.
Python, Java, C++, Node.js, and React Native for application development; Jenkins, Azure DevOps, and GitLab for CI/CD; Azure Data Factory, Databricks, Snowflake, and Apache Spark for data processing; AWS, Azure, and GCP for cloud infrastructure; Selenium, Cypress, Playwright for testing.
Bridgewater, New Jersey. Founded July 2020. Currently 51–200 employees with active hiring across United States and India.
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Bright Vision 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.