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Canner, a Taiwan-based data mesh solution provider, announced that it has raised US$ 3.5M in Pre-A funding. Led by Taiwania Capital, the funding round was also participated in by global VC firm Hive Ventures and SparkLabs Taipei. With its existing support for mainstream cloud vendors such as AWS, GCP, and Azure, Canner plans to expand beyond its robust local customer base in Taiwan by embracing open-source frameworks and providing Canner cloud services that target global customers.
“Enterprises used to struggle with data silo issues. Even though most data are now centralized in a data warehouse, balancing business innovation and data security remains a big hurdle for organizations due to the complexity and sensitivity around working with data,” said Howard Chi, Co-Founder and CEO of Canner. “That is where Canner comes in. With Canner’s data mesh technology, enterprises can virtually enhance their connectivity to data silos and guarantee data security and privacy when collaborating datasets between business units within a company.”
In today's data-driven digital world, efficient data governance and accessibility is a crucial building block for successful digital transformation. By 2025, it is expected that 75 percent of business leaders globally will be leveraging digital platforms and capabilities to adapt their value chains to digitally extended ecosystems. However, currently only 21 percent of leaders treat data as capital and prioritize its use across the business, signaling a gap in leveraging data for business intelligence.
Founded in 2018, Canner aims to empower businesses to efficiently convert data into business value by connecting data silos and transforming business-facing datasets into application-ready dataset APIs with a universal data access interface. With Canner’s data mesh technology, users can work with datasets without moving or duplicating data between data sources, simplifying the process of building next-generation data applications on top of cloud data warehouses through a universal layer for APIs, access control, data literacy, and optimization from diverse data silos.
Canner’s data mesh solution can be quickly installed in any cloud – public, private, hybrid, and otherwise. It provides multi-format output optimization for data applications, as well as multi-layer data access control and authorization. This allows it to empower organizations to self-serve datasets, achieve data democratization, and accelerate innovation, thereby greatly improving enterprise data-driven efficiency.
“The limitations in data availability and accessibility at scale are significant obstacles to enterprise digital transformation. Taiwania believes in Canner’s vision to democratize the emerging data mesh ecosystem by embracing open-source framework that promises to seamlessly integrate next-generation business intelligence applications with analytic tools,” said Cheng Wu, General Partner at Taiwania Capital.
“We previously invested in Canner’s seed funding round in 2019 and our participation in this round signifies our continued confidence in their business model. There is no question that data will be the building blocks of future enterprise success, and it is critical that businesses find more efficient ways to access and analyze their insights to enable more agile business transformation,” said Yan Lee, Founding Partner of Hive Ventures.
With the new investment funding, the company aims to acquire more customers overseas and partner with global cloud data warehouse providers such as Redshift, Snowflake, and BigQuery, as well as major solution integrator partners, to accelerate cloud data warehouse and data lake usages across organizations.
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