Consultancy and managed services firm for cloud, data, and industrial systems
GIOS Technology operates a consulting and services business spanning cloud migration, data analytics, network infrastructure, and industrial engineering across private and public sectors. The tech stack reveals a heavy tilt toward Adobe (Experience Platform, CDP, Campaign, Journey Optimizer), enterprise data tools (SAS, Workday), and .NET/C# backend services—indicating deep customer relationships in marketing operations and HR systems. Active hiring is concentrated in engineering roles with mid-level seniority, supporting a mix of transformation projects and infrastructure work.
GIOS Technology is a London-based consulting firm founded in 2007, serving 51–200 employees across global markets. The company provides consultancy, cloud services, data analytics and visualization, network infrastructure, managed services, and resource staffing. Clients span both private sector and government agencies. Core capabilities include data platforms (Qlik, Elastic), cloud infrastructure (AWS, Google, Microsoft Azure), industrial engineering tools (ANSYS, Tekla, SAP2000), and enterprise software (Workday, SAS, Adobe MarTech stack). The service model combines fixed-project delivery with managed services engagements.
Primary stack: .NET, C#, Angular, TypeScript, SQL Server, PostgreSQL. Data layer: SAS, Workday, Adobe (Experience Platform, CDP, Campaign). Industrial tools: ANSYS, Tekla, SAP2000. Cloud: AWS. Analytics: Qlik, Elastic.
Consultancy (digital transformation, recovery planning, project execution), cloud services, data analytics and visualization, network infrastructure, managed services, and resource staffing. Key specialties include martech transformation, business intelligence, and industrial system assessments.
GIOS Technology'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.