Sai Kurmala

Data Engineer at SQOR Technologies Inc.

Sai Kurmala is a Data Engineer at SQOR.ai since February 2025, with prior experience as an Associate Technical Solutions Engineer at Pegasystems from July 2019 to May 2022. Academic qualifications include a Master of Science in Data Analytics from San José State University, expected to be completed in December 2024, and a Bachelor of Technology in Electrical, Electronics, and Communications Engineering from CVR College of Engineering, Hyderabad, earned in December 2019.

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SQOR Technologies Inc.

At SQOR we've created the easiest platform for senior leadership to monitor the health of operational execution across their entire company. SQOR is an AI driven, plug-and-play platform that’s makes it possible for companies to integrate all their SaaS tools by simply authenticating into each so that SQOR can extract vital insights from everyday company data that is currently scattered across all of these tools. We're making data easily accessible, digestible and above all actionable for company leadership, and we're doing it without the need for expensive data scientists, data analysts, or data engineers. SQOR's algorithms simplify the way a company's senior leaders relate to their data and in the process provides teams trustworthy situational awareness. Separately, our scoring provides a unique way for all external stakeholders to also monitor the health of the company via a single "Execution Score", working similar to a credit score based on overall company execution. This secondary use case can be used to provide investors an easy and trustworthy way to make their deal pipeline data driven, fair and unbiased, a core part of SQOR's mission, while also gaining the ability to monitor the health of their portfolio companies in realtime. With SQOR, all stakeholders will see, know, and be able to act.


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