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About APX10

APX10 offers a SaaS tool that executes big data analytics and uses machine learning and complex algorithms as drivers of their platform.

APX10 Headquarter Location

Jens Juuls Vej 16

Viby J, 8260,


+45 8738 6166

Latest APX10 News

Corporate Venture Investor Joins Cimbria Capital to Accelerate APX10

Jun 14, 2021

Aliaxis and Cimbria integrate unique value-add initiatives to support water innovators like APX10 through a combination of capital, global networks, and customized growth programs. Share APX10, a Nordic-based SaaS company specialized in helping water utilities make valuable decisions based on its market-leading asset management and big data analytics platform, data|APX, announced a partnership with Aliaxis Ventures by way of an investment agreement signed with private equity owner Cimbria Capital. Aliaxis Ventures – the corporate venture capital arm of Aliaxis, a multinational business specializing in pipe solutions with over 14,000 employees in 45 countries – possesses worldwide connections in water management markets and will assist APX10 to expand internationally alongside Cimbria. Both Aliaxis and Cimbria integrate unique value-add initiatives to support water innovators like APX10 through a combination of capital, global networks, and customized growth programs. APX10 provides advanced data analytics through its proprietary platform – data|APX®. The platform ensures that water utilities translate critical information into actionable insights for decision-makers aiming to optimize their water and sewage network reinvestment. APX10’s data analytics platform is uniquely positioned to meet the digital transformation needs of European and North American water infrastructure markets. By its plug-and-play data sourcing, the platform maximizes value through utility costs savings, investment optimization, and an optimized digital workforce. “This new strategic collaboration with Aliaxis will help provide additional access to global water infrastructure markets. Based on our experience and growing market share in the Nordic markets we are eager to pursue opportunities in new markets where we together with Aliaxis can create actionable and sizable impact for water utilities,” said  Ulrich B. Hansen , CEO of APX10. “Given the large industrial influence of Aliaxis, we are positive their involvement will prove valuable for water utilities seeking a digital solution for precision reinvestment priorities as well as being positive for our own growth ambitions.” Related Posts “APX10’s data-driven overview of network performance including financial and operational visualization is exemplary for the water industry,” stated Fabian Seunier , Head of Aliaxis Ventures who will join the board of APX10. “Thanks to APX10’s data analytics platform, the investments, and maintenance in water piping networks can be better targeted, thereby increasing their impact on water preservation and on preventing water leakages and consequences of piping systems failures. APX10 offers a smart and easy-to-adopt analytical platform for water and wastewater utilities to rely on digital and data-driven decision support tools, and we are proud to collaborate with APX10 to support the deployment of their platform.” “Since inception, Cimbria has prided itself on generating value for portfolio companies via its far-reaching networks and domain expertise in the Water Economy,” said  Brian V. Iversen , Managing Partner of Cimbria Capital. “Aliaxis’ participation in APX10 is indicative that by merging financial and sector connections Cimbria can collaboratively accelerate the water-focused companies of the future.”

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Expert Collections containing APX10

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

APX10 is included in 1 Expert Collection, including Artificial Intelligence.


Artificial Intelligence

7,904 items

This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.

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