Founded in 2019, InXiteOut is an India-based AI and data analytics consulting and technology company that helps enterprises develop and deploy production-ready AI solutions. Its services include AI strategy, data engineering, cloud data platforms, predictive analytics, business intelligence, generative AI, and intelligent automation. The company serves businesses across retail, consumer packaged goods, financial services, automotive, and real estate. Its proprietary offerings include VoXLoop, an AI-powered voice-of-customer intelligence platform, and Crucible, a Databricks-native agentic ETL accelerator. InXiteOut develops solutions for customer analytics, marketing optimization, financial analysis, supply chain intelligence, and enterprise data management. The company reports more than 50 enterprise AI deployments across 35 countries. It operates from Bengaluru and Kolkata, with a business presence in New York.
InXiteOut offers opportunities to work on applied AI, machine learning, data engineering, and analytics projects for enterprise customers across several industries. The company reports more than 50 enterprise AI deployments in 35 countries, providing exposure to production-scale technical challenges. Its proprietary VoXLoop and Crucible offerings also create opportunities to work on agentic AI and data platform development. Public case studies demonstrate work with Azure Databricks, Apache Spark, PySpark, React, and Power BI. Its careers page lists engineering, data, product, and cloud roles across Bengaluru and Kolkata. Employee testimonials on the company website emphasize technical learning, early ownership, and career development. Candidates should independently assess team-specific responsibilities, compensation, work arrangements, and career progression during interviews.
Cloud Infrastructure
Data Engineering and Analytics
Data Integration and ETL
Cloud Data Storage
Data Warehousing and Analytics
Distributed Data Processing
Data Engineering
Data Governance
Business Intelligence
Frontend Development
Backend Development
Database
Programming Language
Data Querying
Founder and Chairman of InXiteOut, with over 25 years of experience building and scaling technology businesses. Previously associated with Alumnus Software Limited as CEO. His expertise spans enterprise technology, manufacturing, consumer electronics, biotechnology, and financial services. An alumnus of IIT Kharagpur and IIM Calcutta, he helped establish InXiteOut in 2019 and contributes to its long-term strategy, enterprise relationships, and organizational development.
Co-Founder and CEO of InXiteOut. An alumnus of IIM Calcutta, where he studied from 2011 to 2013, he has a background in management consulting, including experience at Kearney. He co-founded InXiteOut in 2019 and leads its business strategy, enterprise AI services, customer relationships, and organizational growth. Earlier company profiles identified him as COO before his current CEO role.
Co-Founder and CTO of InXiteOut, specializing in artificial intelligence, machine learning, data science, and enterprise analytics. He previously held technical leadership positions at Western Digital and Intel. He studied Electronics and Telecommunications Engineering at Jadavpur University and completed an MBA at IIM Bangalore, receiving a gold medal. A published researcher and patent holder, he leads InXiteOut's AI research, technology strategy, and engineering capabilities.
Sales leader with more than 18 years of professional experience across business development and commercial leadership roles. At InXiteOut, he leads global sales activities, enterprise customer engagement, and business development for the company's AI and data analytics offerings. He has also completed executive education at NUS Business School.
Data engineering and cloud technology leader with more than 12 years of experience. His background includes work at Equifax and NettPositive, with expertise in enterprise data architecture, cloud engineering, data warehousing, and digital transformation. At InXiteOut, he leads data engineering capabilities and contributes to the development of scalable enterprise data platforms.
Leads data science capabilities at InXiteOut, supporting enterprise machine learning, predictive analytics, and AI implementation. He contributes to the company's technical thought leadership on agentic AI and enterprise intelligence, including a company-published article examining how autonomous AI systems can transform business decision-making.
Human resources leader with more than 13 years of experience across IT and IT-enabled services. She holds a Six Sigma Green Belt certification and has previously received professional recognition at EXL Services. At InXiteOut, she leads HR initiatives, people operations, and organizational development. The company publicly announced her appointment as Assistant Vice President of Human Resources in 2026.
Analytics India Magazine
InXiteOut participated as an Exhibit Sponsor at Cypher 2026, held in Bengaluru from October 7 to 9. The company showcased enterprise AI capabilities, including its VoXLoop voice-of-customer intelligence platform and Crucible agentic ETL accelerator.
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InXiteOut introduced Crucible, an agentic data engineering accelerator built around Databricks. The solution uses configuration-driven pipelines, automation, and integrated governance to help enterprises accelerate the development of AI-ready data foundations.
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InXiteOut published a case study describing an AI-powered customer segmentation and propensity scoring solution for a real estate sales organization. The company reported more than 50% faster segmentation and a 17% improvement in site-visit conversion through automated targeting and campaign analytics.
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InXiteOut described an Azure-based Customer 360 platform integrating fragmented customer records from more than 100 data sources. The company reported 30 times faster customer lookup and more than 90% faster onboarding of third-party data sources using automated ingestion, AI-assisted field mapping, and governed data engineering.
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InXiteOut published a case study detailing a global consumer analytics platform developed for an omnichannel enterprise operating across more than 30 markets. The solution used Azure Databricks, PySpark, Azure Data Factory, and Power BI to standardize customer data and enable more than 60 dashboards, reportedly reducing data preparation time by 70%.
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InXiteOutLocation not specified
InXiteOutBengaluru, India
InXiteOutKolkata, India
InXiteOutKolkata, India
InXiteOutBengaluru, India
InXiteOutLocation not specified
InXiteOutLocation not specified
InXiteOutLocation not specified
InXiteOutBengaluru, India
InXiteOutBengaluru, India
InXiteOutBengaluru, India
InXiteOutLocation not specified
