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Venture Capital News: Zan Compute Welcomes $1M Seed Funding

2019-01-28
SANTA CLARA, CA, Smart Facility Management AI platform company announced a group led by Daycon and Impala Ventures has invested in the firm's seed round.
Zan Compute, a leading Smart Facility Management AI platform company, announced today that a strategic group led by Daycon and Impala Ventures has invested in the company's seed round. Zan has now raised in excess of $1 million from strategic partners and angel investors. Zan Compute will be partnering with Daycon, a leading Jan-San distributor, and its partners to expand its reach in North America.

ZAN Compute provides an intelligent IoT platform for smart washrooms with advanced sensing and machine learning that better suits the needs of property owners, managers and occupants. Zan's Smart Washroom AI Platform (SWAP) is a cloud-based AI solution that enables facility managers and operators to adopt a predictive cleaning process and maintain a higher quality of service, in an easy, efficient and cost-effective manner.

Zan's solution is already installed in major commercial office buildings and airports yielding 15 to 30 percent in material and resource savings, as well as improving QoS metrics. The investment by the Daycon group will not only enable Zan Compute to accelerate its growth but also expand its geographic presence in key markets.

Junaith Shahabdeen, CEO of Zan Compute, commented, "The cleaning industry is moving towards a new technological era, one that is characterized by AI algorithms and machine learning. We are very excited to have the additional capital and strategic relationships with the Daycon team and Impala as we continue to build on our leadership position in the smart washroom space."

Howard Cohen, CEO of Daycon, added, "Innovation has been a core value of Daycon for decades and we are proud to be a part of the most impressive firm in the IoT space for our industry." We are confident that the open platform Zan Compute has built will become the leading engine to help building owners, BSCs and distributors evolve from an inefficient, subjective decision-making model to a remarkably efficient data-driven one.
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