AgentMoto and Geekbidz Announce Strategic Partnership. Innovative car-buying meets innovative direct-hiring.
Austin Texas, January 19, 2020 – Geekbidz, LLC. and AgentMoto, LLC are pleased to announce a joint strategic partnership. Our cooperation here is to provide unbiased solutions to the auto industry - Geekbidz for hiring and AgentMoto for car buying.
AgentMoto's car-buying software complements Geekbidz’s innovative hiring platform.
Car-buying is time intensive and filled with selling biases. AgentMoto aims to save car-buyers up to seven hours from start to finish. Buying a new car can be exciting but time-costly and challenging, leaving car-buyers exhausted. AgentMoto aims to service professionals looking for a transparent and efficient car-buying experience. AgentMoto's tech-driven platform reduces time-costly market research, gritty negotiations, paperwork, and delivery to a click of a button.
Yamin Faraj, CEO and founder of AgentMoto said, “Our mission is to streamline and digitize the entire car-buying process. At AgentMoto, we’ve built a unique car-buying platform which provides an effective solution free from bias from start to finish. We strongly feel Geekbidz core values align with ours. We both aim to remove bias that ultimately create time lag and inefficiencies, resulting in missed opportunities"
Anthony Kirkwood, Founder and CEO of Geekbidz said, “We are please to establish a partnership with AgentMoto. With this partnership, we will be able to provide solutions to the automotive industry which will reduce inefficiencies, biases and costs within two key areas, car buying and hiring – Two key areas which greatly affect the bottom line to the business. I’m excited to see what this partnership brings in 2021.”
AgentMoto, a Socal-based technology startup, founded by an automotive veteran that is passionate about innovating solutions to streamline the car-buying process.
Geekbidz, a Texas-based cutting-edge technology startup, founded by two enthusiastic geeks that are passionate about finding solutions to fix the broken hiring process that is filled with systematic bias, inefficiency and bureaucracy.
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