Data engineering and ML consulting for enterprise transformation
Ganit is a 201–500 person data consulting firm founded in 2017, positioned as an end-to-end implementation partner for AI/ML and data engineering across retail, CPG, banking, manufacturing, pharma, and healthcare. The stack is BI-heavy (Tableau, Power BI, Looker Studio, Qlik) paired with SQL databases and cloud platforms (Azure, AWS, GCP), signaling a business focused on analytics delivery and model operationalization rather than platform building. Active hiring is concentrated in data roles and leadership (manager/senior level), with campus and emerging-talent recruitment initiatives underway—a sign of scaling delivery capacity while addressing a structural pain point: sourcing talent for cutting-edge tech skills.
Ganit delivers full-stack data and AI/ML solutions to mid-market and enterprise clients. The firm specializes in data engineering, machine learning operations, generative AI, and predictive analytics, with particular depth in retail, CPG, banking, manufacturing, pharmaceuticals, and healthcare verticals. The technology stack emphasizes business intelligence (Tableau, Power BI, Looker Studio, Qlik Sense) and SQL-based data warehousing on cloud infrastructure (Azure, AWS, GCP), reflecting a services model centered on analytics implementation and model deployment. Founded in 2017 and headquartered in Parsippany, New Jersey, the company operates as a privately held consulting firm.
Ganit uses Tableau, Power BI, Looker Studio, Apache Superset, and Qlik Sense for BI; SQL Server, Oracle, MySQL, and PostgreSQL for databases; and Azure, AWS, and GCP for cloud infrastructure.
Ganit serves retail, CPG, banking and financial services, manufacturing, pharmaceuticals, and healthcare with data engineering, ML, and generative AI solutions.
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