GenAI consulting and enterprise systems integration across cloud and on-premise
Highbrow Technology operates as a dual-track consulting firm: GenAI services (prompt engineering, LLM fine-tuning, custom model training) and enterprise platform Centers of Excellence spanning Workday, SAP, Salesforce, ServiceNow, and PEGA. The stack reveals heavy AI/ML investment (OpenAI, Azure OpenAI, Anthropic, LangChain, AutoGen) paired with cloud infrastructure (Azure, AWS, GCP) and traditional enterprise backend (Java, Spring Boot, .NET). Active projects show deep GPU optimization work and high-stakes enterprise migrations (SAP ECC→S/4 HANA), indicating a consultancy scaling both emerging AI capabilities and legacy systems modernization.
Highbrow Technology is a global consulting firm headquartered in Cary, North Carolina, with established operations in the USA and India and expanding presence across Poland, Indonesia, South Korea, Japan, Uganda, Brazil, and Vietnam. The firm advises mid-market and enterprise clients on two core areas: safe integration of generative AI into operations (with compliance expertise in PII, PCI, HIPAA), and modernization of legacy enterprise systems through Centers of Excellence in Workday, SAP, PEGA, Salesforce, ServiceNow, Data Engineering, Cloud, Security, and Infrastructure. The 201–500 person organization operates as a managed-services provider, blending custom AI development with platform implementation and transformation programs.
Primary stack: OpenAI, Azure OpenAI, Anthropic, LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI (AI/ML); Azure, AWS, GCP (cloud); Python, Java, Spring Boot, React, .NET, FastAPI (backend); Docker, Kubernetes, CI/CD (DevOps); SQL Server (data).
GenAI services (LLM training, prompt engineering, custom model training with regulatory compliance), SAP modernization (ECC-to-S/4 HANA migrations), and platform Centers of Excellence in Workday, Salesforce, ServiceNow, PEGA, Cloud, Data Engineering, Security, Infrastructure.
Highbrow Technology Inc'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 →
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