ServiceNow and enterprise data platform transformation consulting
TriluxTech is a ServiceNow-focused systems integrator and platform operations firm founded in 2009. The tech stack reflects a dual-play: deep ServiceNow expertise (ITSM, ITOM, CMDB, ITAM, SecOps, CRM) paired with modern cloud data infrastructure (Databricks, Spark, Snowflake ecosystem, Azure, AWS). Current hiring is engineering-heavy and seniority-skewed (all 9 active roles are senior-level engineers), signaling execution on complex transformation engagements rather than scaling mid-market sales.
TriluxTech helps enterprises design, build, and operate ServiceNow platforms and unified data foundations. The firm delivers across four areas: platform transformation (greenfield builds and consolidations within the ServiceNow suite), AI operationalization (Moveworks-powered workflows and governance), data and analytics infrastructure (Snowflake, Denodo, Informatica, ThoughtSpot across cloud), and managed operations. Engagements range from advisory and assessments through implementation and ongoing platform operations. The company is based in San Ramon, California, with 51–200 employees and hiring in the United States and India.
ServiceNow (ITSM, ITOM, CMDB, ITAM, SecOps, CRM, Employee Experience) and modern data platforms including Databricks, Spark, Snowflake, and cloud providers (Azure, AWS). The firm also integrates Moveworks for agentic workflow automation and governance.
Platform transformation consulting (ServiceNow implementations and upgrades), AI operations (Moveworks-powered automation and governance), unified data foundation design (Databricks, Snowflake, Informatica), and managed platform operations services. Founded in 2009.
TriluxTech'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.