Singapore-based retail commerce AI company Graas announced on August 13 that it has raised $17 million in a Series B round and simultaneously acquired Trustana, a Singapore product-data platform, in an all-in-one funding-and-acquisition move aimed at deepening its push into agentic commerce.

The deal

The round was led by LemmaTree, an investment firm founded by Singapore state investor Temasek, with participation from Integra Partners, Tin Men Capital, The Xander Group, IncredWealth and Orzon. Graas is using the bulk of the capital, combined with the Trustana acquisition, to build what it describes as a combined product-and-customer data foundation underpinning its AI agent platform for retailers. Trustana brings a product-data catalog and client relationships — including retailers such as David Jones, Chemist Warehouse and Toys"R"Us — that extend Graas's footprint into new markets including Australia and the Middle East. The companies expect the integration to be completed by the end of December.

Why it matters

Graas builds AI agents for retail and e-commerce operators, spanning categories such as agriculture, building and electrical, automotive and consumer durables equipment, and says its overall revenue is growing more than 50% year over year, with its B2B agentic-commerce line growing over 100% annually. Folding in Trustana's product-data infrastructure is a bet that reliable agentic commerce depends as much on clean, structured product data as it does on the reasoning capability of the agent itself — a foundation-data problem that a growing number of vertical AI-agent startups are now trying to solve by acquisition rather than building in-house. The deal also signals continued investor appetite for retail- and commerce-focused AI agent platforms in Southeast Asia, backed by Temasek-linked capital, even as broader AI funding concentrates heavily on frontier model labs.

For a directory focused on evaluating agent tools on real-world reliability, the Graas-Trustana combination is a useful data point on how vertical agent platforms are consolidating the data layer beneath their products — a trend worth watching as more retail and commerce agents compete on the quality of the data they can act on, not just the model behind them.