AI and analytics platform for enterprise risk, marketing, and customer insights
TransOrg Analytics operates a stack heavily weighted toward agentic AI and modern data platforms—LangChain, CrewAI, AutoGen, and OpenAI alongside Azure, Databricks, and BigQuery. The project list reveals a dual focus: enterprise-grade AI agents and reasoning automation (Microsoft Flows, M365 Copilot) paired with classical data warehouse and pipeline work. Minimal hiring velocity and a flat mid-to-senior mix suggest a mature services-and-solutions model rather than a scaling product company.
TransOrg Analytics delivers machine learning and advanced analytics consulting to large enterprises and corporations globally, with particular depth in customer engagement, marketing analytics, and risk management. Founded in 2009 and based in Gurgaon, the company has built proprietary IP around an agentic AI platform called TransOrgIQ, which clients use to move beyond static dashboards toward intelligent, adaptive systems. Active projects span enterprise-grade RAG solutions, reasoning-based process automation via Microsoft tooling, FDA regulatory support, and centralized data warehouse architecture. The technology foundation runs on Python, Azure, Databricks, and open-source AI frameworks, with visualization delivered through Power BI, Tableau, and Looker.
Python, C/C#, Azure, Databricks, BigQuery, Apache Airflow, FastAPI, LangChain, CrewAI, AutoGen, OpenAI, GPT-4, Hugging Face, Power BI, Tableau, Looker, and Power Platform. No recent adopting or replacing signals detected.
Enterprise RAG and agentic AI solutions, reasoning-based process automation with Microsoft Copilot, FDA regulatory testing support, centralized data warehouses, scalable data pipelines, and production dashboards for hardware verification and test data.
Gurgaon, Haryana, India. The company was founded in 2009 and currently operates with 51–200 employees, all hiring based in India.
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