Digital transformation and industrial automation consulting for critical infrastructure
KEYTEO is a 200–500-person consulting group headquartered in Geneva, founded in 2014, focused on digital transformation and Industry 4.0. The tech stack reveals a mature enterprise-systems focus (ServiceNow, TOGAF, ARIS, IEC 62443) paired with cloud infrastructure (AWS, Azure, Terraform, OpenShift) and languages suited to automation (Python, Go, Bash). Current projects center on wealth management, railway system security, cloud migrations, and software factory buildouts — all high-criticality domains where regulatory compliance and incident management are daily operating constraints. Hiring is engineering-led and accelerating, concentrated in senior and lead roles across Switzerland and Luxembourg.
KEYTEO advises mid-market and enterprise clients on digital transformation, industrial automation, and critical-systems modernization. The company operates across banking (wealth management platforms), transportation (railway infrastructure and security), and general enterprise IT (cloud migrations, infrastructure automation). Projects span Target Operating Model definition, AI integration, cybersecurity hardening in OT environments, and software factory development. The firm positions itself as collaborative and transparent, with flat communication and direct employee involvement in project delivery. Operating in regulated and high-consequence domains — railways, fintech — requires deep expertise in compliance, incident management, and business continuity.
KEYTEO uses Jira, Confluence, ServiceNow, TOGAF, ARIS, AWS, Azure, Terraform, Ansible, Docker, OpenShift, Jenkins, Python, Go, Java, Spring, Angular, PostgreSQL, MongoDB, and Elasticsearch across projects.
KEYTEO works primarily in banking/fintech (wealth management systems), transportation (secure railway systems), and enterprise IT infrastructure. Projects include digital transformation, cloud migration, and Industry 4.0 automation.
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KEYTEO'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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