Max Brodeur-Urbas and Rahul Behal, ex-professionals from Microsoft and Amazon Web Services respectively, conceived a solution addressing the overreliance and underperformance of AI in task automation – a startup named Gumloop.
Our expectations from AI are often towering, especially for specialized, precise tasks. Reality, however, reveals the limitations of AI. The duo found a niche: utilizing AI for non-complex tasks for businesses, giving birth to Gumloop.
Originated as a side project in a Vancouver bedroom, Gumloop aimed to simplify a basic task for a group of non-tech enthusiasts on a Discord server. The concept evolved into a startup that brings together third-party apps like GitHub, Gmail, and Outlook for efficient workflow automation.
Gumloop empowers its users with a ‘drag and drop’ modular interface for building automations or opting for pre-assembled pipelines. It’s proving invaluable to teams at Instacart and Rippling, and other users. The ultimate goal: equipping non-technical people to resolve their problems independently.
Navigating a market populated with competitors like Parabola, Tines, and Nanonets, the Gumloop founders aim to maintain a lean team of 10 employees. Their plan: harnessing AI for outpacing competitors with the workforce efficiency of a much larger team.
As Gumloop plans to shift base to San Francisco, it recently completed a $17 million Series A round of funding, primarily led by Nexus Venture Partners. While Brodeur-Urbas insists this capital boost wasn’t necessary, it indeed accelerates the startup’s aim to build a product that users love.
Original source: Read the full article on TechCrunch
