Transit fare system installation and technical workforce staffing services
ESP Enterprises installs, integrates and maintains automatic fare collection and transit electronics, while a workforce solutions arm supplies technical and professional talent nationally. Its tech footprint mixes field and industrial tooling (Fluke, OTDR, Cat6A, fiber, Honeywell Experion, Fanuc) with a Microsoft-centric back office (SQL Server, ASP.NET, Azure). Current hiring is accelerating, mid-level, and tilted toward legal and recruiting-process roles.
ESP Enterprises Inc. is a privately held company founded in 2002 and headquartered in Houston, Texas, with 51–200 employees. It provides installation, integration and maintenance services for automatic fare collection systems and transit-focused electronics, working with equipment manufacturers and transit agencies. Its workforce solutions business recruits, onboards and deploys staff for transit and commercial clients across IT, engineering, finance, business support and light industrial roles. The company serves sectors including transit, energy, renewables, manufacturing, construction and financial services, and holds DBE/MBE certifications.
ESP Enterprises installs, integrates and maintains transit fare collection systems and electronics, and runs a workforce solutions business placing technical and professional staff for transit and commercial clients.
ESP Enterprises is headquartered in Houston, Texas, United States, and currently hires within the United States.
Its stack includes SQL Server, ASP.NET, Azure, Hyper-V, Cisco and SAP S/4HANA, plus field and engineering tools such as AutoCAD, Navisworks, SolidWorks, Fluke testers, OTDR and fiber optic cabling.
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ESP Enterprises 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 →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.