AI specialist staffing and deployment for enterprise use cases
Elios places AI engineers, data specialists, and forward-deployed technologists into enterprise environments, with a stated 95% retention rate and 48-hour shortlist delivery. The tech stack reveals a heavily healthcare-focused operation: the org is deploying across IBM mainframes, SAP, Epic, and eClinicalWorks—legacy systems common in hospital networks—alongside modern cloud data platforms (Azure, Databricks, Synapse). Hiring velocity is accelerating, with healthcare roles comprising 63% of active placements, signaling concentrated growth in a vertical with acute talent scarcity.
Notable leadership hires: Rehab Director, Chief Financial Officer, Medical Director, Portfolio Engagement Lead, Technical Lead
Elios is a staffing and talent solutions firm headquartered in Houston, Texas, specializing in rapid deployment of AI and data engineering specialists. The company targets mid-to-large enterprises with AI use cases identified but lacking internal capacity to build and ship production systems. Elios differentiates by vetting candidates through engineer evaluators with shipped production AI experience, rather than traditional resume-based screening. The organization operates across nine countries (United States, Mexico, India, Peru, United Kingdom, Canada, Australia, Chile, Brazil) and maintains an engineering-led culture: leadership has P&L and digital delivery backgrounds in enterprise environments.
Enterprise legacy and modern: IBM z/OS, DB2, SAP, Epic Systems, Azure cloud platform (Synapse, Data Factory, Data Lake Storage), Databricks, Power BI, and healthcare-specific systems like eClinicalWorks. Now adopting Amazon Athena.
Nine countries: United States, Mexico, India, Peru, United Kingdom, Canada, Australia, Chile, and Brazil. The company claims 95% retention on placements and delivers first shortlists within 48 hours.
Elios'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.