Co-founded los ntawm Max Brodeur-Urbas nyob rau hauv nruab nrab-2023, Gumloop lub hom phiaj qub yog los ua kom cov neeg ua haujlwm tsis yog thev naus laus zis los siv cov haujlwm rov ua dua nrog AI. Lub sijhawm ntawd, AI cov neeg sawv cev tseem sim. Raws li cov thev naus laus zis tau paub tab, Gumloop tam sim no pab pab pawg ntawm cov tuam txhab xws li Shopify xa cov neeg sawv cev AI txhim khu kev qha los daws cov haujlwm nyuaj yam tsis muaj engineers.
Cov neeg ua haujlwm tuaj yeem qhia cov neeg sawv cev lawv tsim, tsim cov nyhuv sib xyaw uas ua rau nrawm nrawm rau sab hauv automation. “Lawv tau quav tshuaj, pib tsim ntau tus neeg sawv cev, thiab mam li nco dheev tag nrho lub tuam txhab ua AI-haiv neeg,” Brodeur-Urbas hais tias.
Pom qhov muaj peev xwm no, Everett Randle, uas nyuam qhuav koom nrog Benchmark los ntawm Kleiner Perkins, coj Gumloop's $50 lab Series B. Txawm hais tias tsis nquag nrhiav nyiaj, nce kev lag luam xav tau ua rau Gumloop rau “kauj ruam ntawm roj.” Kev koom tes nrog Benchmark yog ib “tsis muaj lub hlwb,” tus tsim tau sau tseg. While he originally planned to “build a billion-dollar company with just 10 people,” he now has to expand both sales and engineering teams.
Gumloop faces stiff competition from players like Zapier and Anthropic. Txawm li cas los xij, Randle discovered that one client gave employees access to Gumloop alongside two competitors. Six months later, staff used Gumloop daily or weekly, while the other tools sat untouched. He attributes this to the minimal learning curve: “You can go in and start making agents and workflow automations immediately.”
Additionally, Gumloop’s model-agnostic approach is a key advantage—clients can choose the best model for each task and utilize credits across different AI providers. “Enterprise automation is a massive pot of gold,” Randle said. “I think it’s the biggest category in enterprise AI.”