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InXiteOut Tech Stack

Enterprise AI and analytics partner building data platforms and BI solutions

Technology, Information and Internet Bangalore 51–200 employees Founded 2019 Privately Held

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.

Tech Stack 59 technologies

Core StackPower BI Tableau Python AWS React Figma Docker PostgreSQL MySQL MongoDB GitHub Actions GitLab CI/CD PySpark Databricks Delta Lake Azure Data Factory Azure Functions Azure DevOps Jira Dynamics 365 SQL Excel Azure Git Azure Stack Azure Synapse Azure Blob Storage Azure Data Lake Azure Synapse Analytics Sprinklr+29 more

What InXiteOut Is Building

Challenges

  • Improving lead management
  • Maintaining platform stability
  • Optimizing workflows
  • Ensuring integration reliability

Active Projects

  • Scalable bi dashboards and reporting solutions
  • Self-service bi frameworks
  • Analytics and bi projects
  • Etl/elt data lake creation
  • Data warehousing
  • Customer 360 data harmonization
  • Internal operations and marketing portal
  • Implement new features or modules
  • Enhance automation and efficiency
  • Modular agent design

Hiring Activity

Decelerating10 roles · 2 in 30d

Department

Data
4
Engineering
4
Design
1
Marketing
1
Product
1

Seniority

Senior
6
Mid
4
Lead
1
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About InXiteOut

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.

HeadquartersBangalore
Company Size51–200 employees
Founded2019
Hiring MarketsIndia

Frequently Asked Questions

What tech stack does InXiteOut use?

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.

What is InXiteOut working on?

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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