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I-Minerva Yethula Inkundla Yokumaketha ye-AI ngoxhaso lwe-$20 Million kanye nokubambisana ne-OpenAI

The Premise News Team
I-Minerva Yethula Inkundla Yokumaketha ye-AI ngoxhaso lwe-$20 Million kanye nokubambisana ne-OpenAI PHOTO BY The Premise News

I-Minerva, inkundla ye-AI eyenzelwe abaholi bokumaketha, isethulwe esidlangalaleni ngoxhaso lwezigidi ezingama-20 zamaRandi oluvela eqenjini elihlanganisa i-General Partnership, i-8VC, i-Lingotto Innovation, i-Topology Ventures, i-NBA Investments nabanye. Le nkampani iphinde yamemezela ukubambisana ne-OpenAI ukuze ihlanganise amamodeli we-frontier emisebenzini yokumaketha. Inkundla iklanyelwe ukuhlanganisa idatha yamakhasimende ehlukanisiwe futhi iyicebise ngomongo wabathengi otholakele, inikeze amabhrendi amandla okuqalisa imikhankaso yokumaketha ephelele ngama-AI ngaphansi kwamahora angama-24. Le ndlela ibhekene nenselelo ephikelelayo: nakuba izinkampani zinobuningi bedatha yamakhasimende, inani layo livame ukuba yisicupho ngenxa yokuhlukana nokungabi namongo wangaphandle.

Uhlanganiso Lwedatha Ngaphansi Kosuku

Emahoreni angama-24 okufika kwenkundla, abamaketha bangakwazi ukwenza imisebenzi emine ebalulekile. Lezi zinyathelo ziklanyelwe ukuguqula idatha eluhlaza nehlukanisiwe ibe umongo olungele i-AI, okusiza amabhrendi ukuthi awine amakhasimende kuzo zonke izigaba zomkhankaso.

Izinyathelo Ezine Eziyinhloko

  • Bahlanganise futhi bavule idatha yamakhasimende yokuqala usebenzisa i-Agentic Data Engineer ye-Minerva
  • Bacebise idatha yamakhasimende nge-identity graph ye-Minerva kanye nezici ezingaphezu kwezinkulungwane eziyishumi
  • Badale, bahlaziye futhi bathuthukise imikhankaso ewina amakhasimende ngesilinganiso
  • Balinganise ukusebenza futhi bakhiqize imibiko enemininingwane ngokusebenza komkhankaso
Ngokucindezela lokho ngokuvamile okuthatha amasonto abe usuku olulodwa, inkundla ihlose ukunikeza amaqembu okumaketha ubuhlakani obukhulu. Le nqubo yezinyathelo ezine ihlanganisa idatha ehlukanisiwe ibe ulwazi oluhlelekile olusetshenziswa ama-AI ngokushesha.

Ukusuka Ekuhlukanisweni Kuya Emfundweni Esetshenziswayo

I-Minerva yasungulwa nguJackson Engles, uDaniel Saedi noMatthew Joseph, abahlangana eNyuvesi yaseCalifornia, eBerkeley futhi baqala imisebenzi yabo kwezezimali eLazard, eBridgewater naseCitadel, ngokulandelana. Le nkampani yavela emsebenzini wangaphambili kaSaedi noJoseph wokusebenzisa idatha ehlukile ekuhwebeni ezimakethe, lapho babona khona kokubili amandla edatha yabathengi kanye nobunzima bokuguqula amasethi edatha ahlukanisiwe angathembekile abe imininingwane enokwethenjelwa. Lowo mava wabaholela ekudaleni i-Minerva njengethuluzi lokusiza izinkampani ukuthi zisebenzise i-AI ukuqonda kangcono, ukuzibandakanya nokuthola amakhasimende. Abasunguli bakholelwa ukuthi njengoba ama-AI eba namandla amakhulu, isici esikhawulelayo kumaqembu okumaketha akuseyikho ukufinyelela kumamodeli kuphela, kodwa ikhwalithi nokuhleleka komongo ama-AI angasebenza kuwo.

Imiphumela Nezibalo Ezikhombayo

Emikhankasweni yokuqala, i-Minerva isivele ikhombise umthelela obonakalayo. Inkampani ibika ukuthi inkundla yayo yasiza amabhrendi ukuthi athuthukise i-return on ad spend (ROAS) yemidiya ekhokhelwayo ngokuphindwe kathathu, futhi yakhuphula amazinga e-direct mail marketing qualified lead (MQL) ngokuphindwe kabili. Lokhu kuthuthukiswa kwavela ekwakheni kabusha indlela idatha yamakhasimende esetshenziswa ngayo ukuthola amakhasimende, kusuka ezinqubweni ezenziwa ngesandla kuya emsebenzini oqhutshwa yi-AI. I-Minerva iphinde yasayina cishe amakhasimende angamashumi amathathu nambili, okuhlanganisa amagama aziwayo afana ne-NBA, i-Juicebox, i-Luxury Presence, i-Trust & Will ne-Wander. Ngokuphawulekayo, i-Minerva isebenza ne-NBA ukuhlonza amathuba okusiza amaqembu ukuthi ajulise ukuzibandakanya kwabalandeli.

Ukubambisana Ne-OpenAI

Ngokubambisana ne-OpenAI, i-Minerva ithuthukise imisebenzi emibili eqondile isebenzisa amamodeli e-frontier afana ne-GPT-5.5. Lawa mathuluzi aklanyelwe ukufaka amandla e-AI athuthukile ezandleni zamaqembu okumaketha. Amelela ushintsho olusuka ekudingeni ubuchwepheshe uye ekusebenzeni ngolimi lwemvelo.

Amandla Amathulwa Yilawa Mathuluzi

  • I-Agentic Data Engineer inciphisa amasonto omsebenzi wobunjiniyela bedatha abe amahora ngokuhlela nokuqonda ukwakheka kwedatha yamakhasimende, ukubhala i-SQL yokuguqula nokuqinisekisa umphumela
  • I-Agentic Data Scientist ivumela abamaketha abangenalo ulwazi lokufunda ngomshini ukuthi basebenzise imiyalo yolimi lwemvelo — njengokuthi “thola abasebenzisi okungenzeka ukuthi babhuke indawo yokunethezeka ezinsukwini ezingama-30 ezizayo” — ukukhiqiza, ukuqinisekisa nokusabalalisa amamodeli okubikezela ngesicelo
Lezi zinto zikwenza kube lula ukuthi amaqembu okumaketha asebenzise amandla e-AI ngaphandle kwezidingo zobuchwepheshe. UJackson Engles, umsunguli kanye ne-CEO ye-Minerva, uthe amaqembu okumaketha acindezelwa ukuthi akhiqize imiphumela engcono phakathi kwenkimbinkimbi ekhulayo, iziteshi ezengeziwe, nedatha eningi. Uchaze ukuthi i-Minerva inikeza abamaketha umongo nengqalasizinda yokuqonda amakhasimende abo ngokujulile nokusebenza ngalolo lwazi ngokushesha. Inhloso, ngokusho kwakhe, ukunikeza umsebenzi ophindaphindayo owenziwa yi-AI ukuze amakhasimende agxile emsebenzini odinga ukwahlulela komuntu. Inkundla yakhelwe ama-CMO namaqembu okumaketha afuna ukuqhubekela phambili emsebenzini wedatha owenziwa ngesandla, izilinganiso eziyingxenye, nokuqashwa kwabantu njalo. Esikhundleni salokho, amaqembu abeka umgomo futhi ama-omon asebenza ngaphansi kwawo, ahambisa abamaketha kusuka ekwenzeni ukuya ekuqondiseni. UPhin Barnes, umsunguli kanye ne-Managing Partner eGeneral Partnership, ugcizelele ukubaluleka komongo kuma-AI. “Ama-AI alambile umongo, futhi noma ngubani ohlela umongo ofanele endaweni ethile uyayithatha leyo ndawo,” kusho uBarnes. Waphawula ukuthi amabhrendi amaningi anedatha yamakhasimende eyigugu, kodwa ihlukanisiwe futhi kunzima ukuyisebenzisa. I-Minerva, engeza yena, iguqula leyo datha ibe into i-AI engacabanga ngayo, inikeze abamaketha amandla okusebenza ngayo. Imali entsha izosetshenziselwa ukwandisa amaqembu obunjiniyela, ucwaningo nokufinyelela ezimakethe e-Minerva, ukwakha inkundla yokuzisebenzisa, nokwandisa ngale kwezindawo zokuqala ezigxile kwezemidlalo, ezokuvakasha nezinkonzo zezimali ukuya ezigabeni eziphakathi kwabathengi.

Umbono we-The Premise News: Ukwethulwa kwe-Minerva kumelwe ukubheja okukhulu kokuthi ikusasa lokumaketha alikho kumamodeli angcono kuphela, kodwa ekhwalithini yomongo wedatha lawa mamodeli awatholayo. Lokhu kubalulekile ngoba izinkampani zihlezi ezintabeni zedatha yamakhasimende eyigugu engasetshenziswa kahle ngenxa yokuhlukana nokungabi nasakhiwo. Okusengozini ngokuqondile yikhono lamaqembu okumaketha ukusuka emisebenzini eyenziwa ngesandla, ehlukene, ukuya emisebenzini eqhutshwa yi-AI engaletha intuthuko ekalwayo ku-ROAS nasezingeni le-MQL. Ukungezwani okuyinhloko okwembulwa yilendaba kuphakathi kwethembiso le-AI nenselelo ephathekayo yokulungisa idatha ukuze isebenze — igebe i-Minerva ehlose ukulivala. Abafundi kufanele babheke ukuthi inkundla inweba ngokushesha kangakanani ngale kwezindawo zayo zokuqala kwezemidlalo, ezokuvakasha nezinkonzo zezimali ukuya ezigabeni eziphakathi kwabathengi, nokuthi ngabe inkundla yokuzisebenzisa ikhanga amakhasimende amaningi. Ekugcineni, impumelelo ye-Minerva izoncika ekutheni ingakwazi yini ukuguqula idatha ehlukanisiwe ibe umongo onokwethenjelwa, otholakalayo ngesilinganiso. Uma ikwenza, ingabeka izinga elisha lokuthi amabhrendi asebenzisa kanjani i-AI ekumaketha.

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