Engineering consulting for aerospace, defense, medical devices, and industrial automation
Enterprise Peak is a 51–200 person engineering consulting firm founded in 2011, headquartered in Chicago. The stack is deeply specialized: HFSS, SystemVue, Vivado, and Zemax dominate alongside C++, Python, Java, and modern DevOps (Docker, Kubernetes, Terraform, AWS, GCP). The hiring mix—four engineering roles, one sales, one HR—reflects a firm scaling technical delivery faster than business development, and the active projects (embedded Linux for medical devices, satcom defense contracts, microservices modernization) confirm deep vertical expertise in highly regulated domains where systems integration and embedded work command premium rates.
Enterprise Peak provides engineering and technology consulting to Fortune 500 companies and mission-critical organizations in aerospace, defense, medical devices, life sciences, and industrial automation. The firm specializes in data science, software engineering, systems integration, cloud infrastructure, applied sciences, and R&D optimization—moving clients from concept through product commercialization. Core services span technology integration, cloud adoption, and engineering advisory. Based in the United States and staffed by engineers-for-engineers, the firm competes on domain depth (medical device regulations, defense protocols, aerospace standards) and ability to architect hybrid cloud solutions while bridging legacy infrastructure.
Stack includes HFSS, SystemVue, Vivado, Zemax (simulation/RF/FPGA tools); C++, Python, Java, TypeScript, .NET; Docker, Kubernetes, Terraform for infrastructure; AWS and GCP for cloud; Selenium, Playwright, JMeter for testing.
Current projects include next-generation test and measurement equipment, embedded Linux deployments for medical devices, cloud-based legacy system integration, microservices architecture deployment, and satcom defense contracts.
Enterprise Peak'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.