MongoDB announced a new Asia Pacific Strategic Partner Program aimed at helping customers move away from legacy infrastructure and build AI-driven applications across the region. The company said the initiative is invite-only and is designed for partners with strong technical expertise, local market knowledge, and established customer relationships. Early partners in the program include Sieger, SoftwareOne, and ICS Compute.
About the partner programme
The program is part of MongoDB’s broader APAC partner strategy. According to the company, it plans to increase the size of its APAC partner team by 50% by the end of the fiscal year and to quadruple the number of strategically engaged partners in the region. The company said the program will provide selected partners with access to specialist training and certification, support for local market needs, modernisation tools, and joint go-to-market resources.
MongoDB said the program is meant to support partners working in markets with different regulatory and operational requirements, including sectors such as government, financial services, retail, and manufacturing. The company also pointed to existing collaborations in China, India, and Indonesia as examples of how the program is intended to work in practice.
MongoDB is positioning the program around a simple argument: companies cannot scale AI effectively if their data is trapped in legacy systems. The company said its data platform combines the document model with integrated Vector Search and embedding models from Voyage AI, allowing customers to build semantic search and generative AI applications directly on operational data. In MongoDB’s view, this reduces the need for fragmented systems and lowers the complexity of deployment.
The company also said the new partner model is intended to reduce delivery risk and shorten time-to-market for enterprise AI projects. By pairing MongoDB’s platform with partners that can handle cloud migration, local compliance, and systems integration, the program is meant to give enterprises a more practical path from modernisation to AI deployment.
