Ihlanganiswe nguMax Brodeur-Urbas maphakathi no-2023, Umgomo wokuqala kaGumloop bekuwukuvumela abasebenzi abangebona abezobuchwepheshe ukuthi benze imisebenzi ephindaphindwayo nge-AI.. Ngaleso sikhathi, Ama-agent e-AI ayesahlola. Njengoba ubuchwepheshe sebukhulile, I-Gumloop manje isiza amaqembu ezinkampanini ezifana ne-Shopify ukuthi ithumele ama-agent e-AI athembekile ukuze aphathe imisebenzi eyinkimbinkimbi ngaphandle konjiniyela.

Abasebenzi bangabelana ngama-ejenti abawakhayo, ukudala umphumela ohlanganisayo osheshisa ukuzenzekelayo kwangaphakathi. “Bayalutheka, qala ukwakha ama-ejenti amaningi, futhi ngokuzumayo yonke inkampani iba yi-AI-yomdabu,” U-Brodeur-Urbas uthe.
Ukubona leli khono, Everett Randle, owayesanda kujoyina iBenchmark esuka ku-Kleiner Perkins, wahola uGumloop $50 million Series B. Nakuba kungaqoqwa imali, isidingo sebhizinisi esikhulayo sigqugquzele uGumloop ukuba “nyathela igesi.” Ukusebenzisana ne-Benchmark kwaba “akukho-brainer,” umsunguli waphawula. Nakuba ekuqaleni wayehlela “ukwakha inkampani yezigidigidi zamadola nje 10 abantu,” manje kufanele andise womabili amaqembu okuthengisa nawonjiniyela.
UGumloop ubhekene nokuncintisana okunzima okuvela kubadlali abafana noZapier no-Anthropic. Nokho, U-Randle uthole ukuthi iklayenti elilodwa linikeze abasebenzi ukufinyelela ku-Gumloop eceleni kwezimbangi ezimbili. Ngemva kwezinyanga eziyisithupha, abasebenzi basebenzisa i-Gumloop nsuku zonke noma masonto onke, ngenkathi amanye amathuluzi ehlezi engakathintwa. Lokhu ukukhomba ejikeni elincane lokufunda: “Ungangena bese uqala ukwenza ama-ejenti nokuhamba komsebenzi okuzenzakalelayo ngokushesha.”
Ukwengeza, Indlela ye-Gumloop yokuxilonga iyinzuzo ebalulekile—amaklayenti angakhetha imodeli engcono kakhulu yomsebenzi ngamunye futhi asebenzise amakhredithi kubahlinzeki abahlukahlukene be-AI.. “I-Enterprise automation iyibhodwe elikhulu legolide,” Kusho uRandle. “Ngicabanga ukuthi yisigaba esikhulu kunazo zonke ebhizinisini le-AI.”



















































































