Terry KS SINGAPORE, 10 AUGUST 2026 – Data and AI infrastructure developer Singdata has joined Geene 2.0 as a founding ecosystem partner, anchoring the data layer for a next-generation enterprise AI commerce platform created by Synagie, the digital commerce brand under Hong Kong-listed Synagistics Limited.
Scheduled for commercial launch on August 8, 2026, Geene 2.0 operates as a software-as-a-service platform backed by 12 founding partners. The partner network includes industry players such as BytePlus, China Mobile International, FLY Entertainment, Mei Ah Entertainment, DataCloud, Yiwise, Zeneva, DU-MAS, International Brand Centre, Masverse, and Synagie itself.
Geene 2.0 is structured around a five-layer model—analysis, strategy, content, execution, and trusted verification—designed to replace fragmented AI tools with an integrated system. Within this ecosystem, Singdata manages the data architecture, taking responsibility for three core operational tasks: automated business intelligence reporting, financial process automation, and market intelligence collection.
Singdata Co-founder and Chief Executive Officer Ethan Yu stated that the technology removes the need for operations teams to build rigid reporting templates. Through natural language queries, staff can retrieve sales metrics or inventory adjustments directly, allowing operations teams to offload approximately 90% of repetitive data retrieval and statement reconciliation tasks to AI.
Singdata’s technical architecture relies on its proprietary Generic Incremental Compute engine paired with a Lakehouse system. The platform allows multi-modal enterprise data to become AI-ready in real time, supporting large language models during reasoning and decision-making workflows.
Designed to operate across seven major cloud environments—including Amazon Web Services, Google Cloud, and Alibaba Cloud—Singdata Lakehouse performs analysis directly on a customer’s existing data repository without requiring data relocation. As a core contributor to the open-source Apache Iceberg project, Singdata focuses on data boundary separation, allowing client teams to retain complete control over their proprietary information while utilizing advanced AI analytics.