Wherobots Develops Data Platform to Prioritize Spatial Data

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Wherobots, a Scottsdale, Arizona-based start-up, has announced it closed its seed round with a total of $5.5m co-led by Wing Venture Capital and Clear Ventures for its spatial compute and AI engine. The engine is designed to allow users to develop geospatial analytics applications, which are then deployed with major cloud data services. The start-up’s solution was created due to a lack of an easy-to-use, dedicated geospatial database platform, an issue that led to companies being unable to unlock the enormous value of collected time and geospatial data.

Wherobots was founded by computer science academics Mo Sarwat and Jia Yu of Arizona State University and Washington State University, respectively, who launched Apache Sedona, an open-source developer tool for geospatial applications, in 2015. Wherobots uses the same API as Apache Sedona and offers faster spatial processing, a spatial data usage dashboard, and other features. That makes it a significant improvement on similar existing data platforms that offer minimal functionality and usually lack features for users working with space and time data.

Wherobots provides a fully managed, fully provisioned, scalable, robust cloud data platform for spatial analytics and AI. Sarwat believes it’ll scale better, provide better resource utilization, and be more efficient in the cloud than any other platform like this. Currently, the start-up is in the building phase, which is why the funds raised, together with those from an MVP for beta testing that people can sign up for, will go toward creating an enterprise-ready platform that will encourage marketing adoption. Businesses across numerous sectors, including insurance, fleet management and automotive, agriculture, and real estate, can use the platform. Sarwat anticipates that Wherobots will become the standard for data platforms for time and space data.

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Frequently Asked Questions (FAQs) Related to the Above News

What is Wherobots?

Wherobots is a start-up based in Scottsdale, Arizona that has developed a spatial compute and AI engine for geospatial analytics applications.

Who founded Wherobots?

Wherobots was founded by computer science academics Mo Sarwat and Jia Yu from Arizona State University and Washington State University, respectively.

What is the purpose of Wherobots' solution?

Wherobots' solution is designed to provide an easy-to-use, dedicated geospatial database platform that allows companies to unlock the enormous value of collected time and geospatial data.

What is Wherobots' connection to Apache Sedona?

Wherobots uses the same API as Apache Sedona, an open-source developer tool for geospatial applications that was launched by Mo Sarwat and Jia Yu in 2015.

How does Wherobots differ from existing data platforms?

Wherobots offers faster spatial processing, a spatial data usage dashboard, and other features that make it a significant improvement on similar existing data platforms that offer minimal functionality and usually lack features for users working with space and time data.

What industries can use Wherobots' platform?

Businesses across numerous sectors, including insurance, fleet management and automotive, agriculture, and real estate, can use Wherobots' platform.

What will the funds raised by Wherobots be used for?

The funds raised, together with those from an MVP for beta testing, will go toward creating an enterprise-ready platform that will encourage marketing adoption.

Does Sarwat anticipate Wherobots becoming the standard for data platforms for space and time data?

Yes, Sarwat anticipates that Wherobots will become the standard for data platforms for time and space data.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

Advait Gupta
Advait Gupta
Advait is our expert writer and manager for the Artificial Intelligence category. His passion for AI research and its advancements drives him to deliver in-depth articles that explore the frontiers of this rapidly evolving field. Advait's articles delve into the latest breakthroughs, trends, and ethical considerations, keeping readers at the forefront of AI knowledge.

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