- This round brings Decube’s total funding to US$5 million
- Funding will drive Decube’s global growth, product innovation & APAC expansion
Malaysian-nased Decube, a data trust and context platform for enterprise AI, has raised US$3 million (RM12 million) in its latest funding round, led by Taiwania Hive Ventures, with participation from Iterative and 500 Global. This brings Decube’s total funding to US$5 million (RM20 million), including support from Orvel Ventures and First Move Fund.
The funding will support Decube’s global growth, continued product innovation, and expansion across the APAC region, as enterprises increasingly seek to operationalise AI on data they can trust.
As organisations invest heavily in AI, many face a hard truth: AI systems are only as effective as the context provided to them. While enterprises have modern data platforms, warehouses, and pipelines, they often lack a unified way to explain what their data means, where it comes from, how it changes, and whether it should be trusted.
Decube addresses this gap by building a context layer that sits between raw data systems and AI or analytics use cases. It provides the critical context required for responsible and scalable decision-making, including lineage, ownership, quality, and usage policies—without relying on manual documentation or disconnected tools.
For business and data leaders, this context layer forms the foundation for moving AI initiatives from experimentation to production with confidence.
Jatin Solanki, founder and CEO (pic) of Decube, said: “Decube was founded on a simple insight: enterprises can’t scale AI without a trusted context layer. This funding validates what we see across large businesses: enterprises are racing to deploy AI but often lack the context layer that makes it reliable. It allows us to expand strategically across APAC and help clients turn trusted data into production-grade AI.”
Decube plans to deepen its global footprint and expand across the APAC region, investing in product capabilities, regional partnerships, and enterprise deployments aligned with growing demand.
The platform helps enterprises move beyond fragmented metadata, spreadsheets, and tribal knowledge by unifying data understanding into a single system. This enables organisations to:
- Track data origin and transformations
- Establish accountability and ownership across data assets
- Continuously assess data reliability before consumption
- Provide trusted, explainable inputs to analytics and AI systems
This approach is increasingly critical for regulated and data-intensive industries, where AI adoption must balance speed, trust, and accountability.
Yan Lee, co-founder and managing partner at Taiwania Hive Ventures, said: “We were drawn to Decube because of the clarity of the problem and the strength of the team. As AI adoption moves from pilots to core enterprise systems, scalable, production-grade data foundations are essential. Decube is building a category-defining platform with strong early traction, and we are excited to support its growth across APAC.”
Decube stated that it is already serving enterprises in highly regulated industries, including regional banks, financial institutions, telcos, and global corporates. In Indonesia, PT Superbank, which recently went public, uses Decube to ensure AI and analytics are powered by governed, traceable, production-ready data. This reflects a broader shift among chief data officers towards operational data trust embedded directly into workflows.
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