SNP SE, a leading provider of software for AI-enabled digital transformation, automated data migration and data management in the SAP environment, announced the appointment of Neeraj Athalye as Managing Director, India. Based in Mumbai, Athalye will be responsible for leading SNP's expansion, helping customers build the data foundations for business AI using SNP's Kyano platform and Bluefield approach.
Athalye brings with him more than 30 years of experience across enterprise software, SAP, cloud technologies and business leadership, having held senior positions at SAP, MatrixOne (Dassault Systèmes), Honda, John Deere, SUSE and, most recently, Icertis. His track record in building partner ecosystems, scaling high‑growth businesses, and driving customer‑centric innovation positions him perfectly to lead SNP's next phase of expansion in India.
The appointment comes as SNP expands its presence in Asia Pacific and continues to invest in AI-enabled capabilities for SAP transformations. At its annual flagship event "Transformation World" in Heidelberg, Germany, in July, SNP introduced new capabilities for its Kyano platform to customers, partners and experts from across the global SAP ecosystem. Kyano brings together software for data management, migration and continuous assessment of SAP landscapes, supporting organizations throughout their SAP transformation journey. The platform also supports migrations from different ERP source systems and integrates partner capabilities through its ecosystem and Marketplace.
Among the new capabilities is Kyano Lorna, an Agentic AI Layer that draws on more than 30 years of SNP's data transformation expertise to provide real-time insights and project-specific recommendations. Embedded directly into transformation projects, it helps customers execute transformations faster while maintaining the highest levels of accuracy, reliability and compliance. Kyano Oros extends the platform to unstructured data, which accounts for approximately 80 per cent of enterprise data volumes and has largely remained inaccessible to traditional transformation tools. This provides a critical foundation for preparing enterprise data landscapes for modern AI applications. Together, these capabilities help India's organizations accelerate and simplify SAP transformations while preparing their data for business AI.
