Enterprise AI and analytics partner building data platforms and BI solutions
InXiteOut is a data and AI services firm built on a heavy Azure + Python + BI stack (Power BI, Tableau, Databricks, Azure Data Factory, Synapse). The project list — self-service BI frameworks, data lake creation, customer 360 harmonization, modular agent design — reveals a shift from static dashboards toward automation and AI agents. Hiring remains concentrated in data and engineering roles, with senior staff dominating the mix, typical of a services firm scaling delivery rather than platform.
InXiteOut advises and builds data, analytics, and AI systems for enterprise clients across supply chain, finance, consumer, and operations domains. The company operates as a services and implementation partner, handling end-to-end engagements from architecture through production deployment. Founded in 2019 and based in Bangalore, the firm is 51–200 people, currently hiring primarily in India across data engineering and backend roles. Internal pain points center on lead management, platform stability, and workflow optimization — typical friction points for a growing services org managing multiple concurrent deployments.
Primary stack: Azure (Data Factory, Synapse, Functions, DevOps), Python, Databricks, Delta Lake, Power BI, Tableau, PostgreSQL, MongoDB, React, Docker, and Git-based CI/CD. Secondary tools: SQL, Excel, AWS, Jira, Dynamics 365.
Core projects: self-service BI frameworks, scalable dashboards, ETL/ELT data lakes, data warehousing, customer 360 harmonization, and modular agent design. Also building internal operations and marketing portals, and automation enhancements.
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