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Canner bags US$3.5m Series Pre-A Funding Round to End Data Mess with Data Mesh

Canner bags US$3.5m Series Pre-A Funding Round to End Data Mess with Data Mesh

Canner, a Taiwan-based data mesh solution provider, announced today that it has raised a total of US$3.5M in a Series Pre-A funding round. Led by Taiwania Capital, the funding round was also participated in by global venture capital firm Hive Ventures and SparkLabs Taipei. Canner will use this funding to accelerate product development, expand local and international marketing efforts, and grow its internal teams. 

In today’s data-driven digital world, efficient data governance and accessibility is a crucial building blockfor 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 prioritise its use across the business, signalling 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 optimisation from diverse data silos. 

“Enterprises used to struggle with data silo issues. Even though most data are now centralised in a data warehouse, balancing business innovation and data security remains a big hurdle for organisations 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.”  

Canner’s data mesh solution can be quickly installed in any cloud – public, private, hybrid and otherwise. It provides multi-format output optimisation for data applications, as well as multi-layer data access control and authorisation. This allows it to empower organisations to self-serve datasets, achieve data democratisation 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 democratise 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. An industry veteran, Cheng Wu has founded several high-profile companies with total market value of US$6 billion and have led several successful exits. 

“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 analyse their insights to enable more agile business transformation. With successful entrepreneurs like Cheng Wu now on the Board of Advisors, we look forward to seeing Canner lead the charge in the data solutions space,” said Yan Lee, Founding Partner of Hive Ventures

With its existing support for private and 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 Software-as-a-Service (SaaS) services that are available to global customers. This year, the company also aims to 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 organisations. 

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