Digital transformation and AI consulting for enterprise modernization
Tek Ninjas is a software consulting firm focused on enterprise digital transformation, cloud migration, and AI implementation. Their tech stack is heavily weighted toward enterprise platforms—SAP (S/4HANA, FICO, Fiori), cloud providers (AWS, Azure), and analytics tools (Snowflake, Tableau, Power BI)—reflecting a client base running large-scale legacy systems. Active projects center on S/4HANA transformations, finance automation, and spend analytics, while hiring signals show engineering-led growth targeting mid-level engineers and specialized finance roles.
Tek Ninjas, founded in 2015 and based in Carrollton, Texas, is a consulting and digital services company serving Fortune 500 clients, government agencies, and enterprise leaders. They operate across five core service lines: digital engineering and application modernization, cloud and infrastructure, data and AI analytics, intelligent automation, and cybersecurity. The organization spans 201–500 employees and focuses on helping clients migrate legacy systems to modern cloud architectures, implement SAP platforms, and build AI-driven automation and analytics capabilities.
Primary stack includes SAP (S/4HANA, FICO, Fiori, MM, SD, Ariba), cloud (AWS, Azure), analytics (Snowflake, Tableau, Power BI, IBM Cognos), and DevOps (Jenkins, ArgoCD, Harness). Also uses Python, Java, Node.js, and enterprise tools like Dynatrace and Splunk.
Current projects include S/4HANA transformations, global finance template design, spend analytics dashboards, data migration strategy, and chatbot quality review. Work reflects focus on enterprise modernization, financial process automation, and cost optimization.
TEK NINJAS'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.