Bungee Tech is a privately held company founded in 2017, headquartered in Bellevue, Washington, United States. The company specializes in providing retail performance optimization software that leverages artificial intelligence and advanced machine learning to offer insights into market competition, reputable syndicated partner data, other online sources, and in-store audit details through visualizations and dashboards. This enables retailers and brands to compete effectively in an ever-changing landscape.

The company’s technology is currently shaping the grocery and consumer packaged goods (CPG) brand markets. As Bungee Tech grows, its coverage across more industry categories and segments continues to increase. Built by former Amazonians, the team comprises grocery industry experts, engineers, and data scientists spanning the globe, with offices in the USA and India.

Bungee Tech is backed by Silicon Valley financiers, including NextGen Venture Partners and Cervin Ventures. The company has raised a total of $3 million in funding, with the latest deal being a seed round completed on April 10, 2019. The company’s primary industry is business/productivity software, with other industries including media and information services (B2B). The company operates in verticals such as big data, SaaS, artificial intelligence, and machine learning.

The executive team includes Rajat Nigam as Co-Founder & Chief Executive Officer, Venkat PK as Chief Technology Officer, and Mehul Hathi as Chief Customer Officer. Bungee Tech has a total of 54 employees and has been recognized for its growth, with a weekly growth rate of 0.80%, placing it in the 93rd percentile. The company’s size multiple is 219x the median, placing it in the 100th percentile.

Bungee Tech has been granted three patents, with the most recent being US-11184459-B2, titled ‘Method and system for a network presence platform with intelligent routing,’ granted on July 31, 2018. The company’s contact information includes the website www.bungeetech.com and the phone number +1 (240) 349-7211.