Томоохон компаниудад хиймэл оюун ухааны хэрэгслийг найдвартай нэвтрүүлэхэд тулгардаг саад бэрхшээлийг шийдвэрлэхээр Efrat Rapoport болон түүний хамтрагчид June компаниа даваа гарагт олон нийтэд зарлав.
Salesforce-ийн экс удирдагч Efrat Rapoport болон түүний гурван хамтран үүсгэн байгуулагч өмнө нь Bonobo AI компаниа байгуулж байсан бөгөөд уг компаниа 2017 онд зах зээлд гаргасны дараа Salesforce худалдаж авч байжээ. Тэд үйлчлүүлэгчдийнхээ одоо байгаа платформд хиймэл оюун ухаан нэвтрүүлэх гэж зүдэрч буйг ажигласны эцэст уг стартапаа шинээр үүсгэн байгуулжээ. Шинэ компани Marc Benioff-ийн Time Ventures тэргүүлэгч хөрөнгө оруулагчаар оролцож, Michael Dell, Aaron Levie, George Kurtz нарын дэмжлэгтэйгээр 20 сая ам.долларын өмнөх шатны санхүүжилт татсан байна.
Компанийн удирдлагуудын тайлбарласнаар, хиймэл оюун ухааны загвар бүтээх нь харьцангуй хялбар хэдий ч түүнийг хуучин системүүд, хуваагдмал өгөгдөл болон олон жилийн техникийн өр төлбөртэй хослуулан ажиллахад гол хүндрэл үүсдэг байна. Salesforce, ServiceNow, DataBricks, Workday зэрэг мэдээллийн удирдлагын платформуудтай хиймэл оюун ухааныг уялдуулахын өмнө компаниуд өгөгдлийн эмх замбараагүй байдал, нарийн төвөгтэй ажлын урсгалыг шийдвэрлэх шаардлагатай болдог аж.
June платформын гол зорилго нь компанийн одоо байгаа системүүдийг сканердаж, бизнесийн үйл явцыг ойлгох, саад тотгорыг олж илрүүлэх, мөн агент дээр суурилсан оновчтой процессыг автоматаар бүтээх юм. Энэхүү хэрэгсэл нь аж ахуйн нэгжүүдэд хиймэл оюун ухааны агентуудыг амжилттай нэвтрүүлэх алхам алхмаар удирдамжийг өгч, дата эх үүсвэрүүдийг холбоход тусалдаг байна. АНУ-ынморгейжийн томоохон зээлдүүлэгч CMG компанийн стратеги хариуцсан ахлах ажилтан Paul Akinmade уг хэрэгслийг туршиж үзсэн бөгөөд өгөгдөл нэгтгэх явцад тулгарч байсан хүндрэлүүдийг аюулгүй байдлаар даван туулахад June тусалсныг онцолжээ.
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It’s so hard for big businesses to get AI tools working reliably that whole new organizations of forward-deployed engineers or FDEs— specialists who drop into a company to get its AI systems up and running — are springing up to help them.
“AI, paradoxically, increases the demand for professional services,” says Efrat Rapoport, a former Salesforce executive whose new company, June, emerged from stealth Monday morning. “The industry’s answer to AI implementation is, ‘let’s hire more and more and more people.”
Rapoport and her three cofounders — Ohad Hen, Barak Goldstein, and Idan Tsitiat — have a different idea about how to bring AI into broader use. To pursue it, the company raised $20 million in pre-seed funding led by Marc Benioff’s Time Ventures, with additional backing from tech luminaries like Michael Dell, Aaron Levie and George Kurtz. The company declined to share its valuation.
The four founders previously started Bonobo AI, a pre-transformer language model company that launched a voice-to-text service in 2017. Bonobo AI was snapped up two years later by Salesforce, and the team worked for several years on the tech giant’s AI initiatives before setting out on their own again after watching customers struggle to bring AI into their existing platforms.
Their potential was clear enough to their investors, Rapoport says, that “we didn’t even have a deck for this raise.”
While the so-called SaaSpocalypse has software firms fearing that AI might replace them, thus far no one is vibe-coding a CRM for a Fortune 500 company. Any AI model brought into a corporate setting still has to work with Salesforce, ServiceNow, DataBricks, Workday, or any of a dozen other data-management platforms.
“Before AI can create value, someone has to deal with legacy systems,” Rapoport says. “You have fragmented data across these platforms. You have complex workflows. You have years of technical debt.”
Building an agent template is the easy part, she says. The hard part is getting it to work with the mess underneath. “How does an agent know how to operate when you have 10 duplicate [database] fields that say the same thing, and different teams are using them?”
June’s platform scans a company’s existing systems to understand its business processes, find bottlenecks, and then build more optimized, agent-powered processes to replace them, automatically notifying teams through the company’s comms channels.
“We give you the full roadmap automatically of what needs to happen step by step for you to actually implement this agent successfully in an enterprise environment, which is often very complex,” Rapoport said. “We give you a step by step guide. ‘Remove these duplicates. Connect to this data source.’ And then you click on ‘build’ on each task, and June starts building it for you in the organization.”
Paul Akinmade, chief strategy officer at CMG, a major U.S. mortgage lender, moved his company’s software engineering over to Claude Code quickly, but hit roadblocks trying to integrate it with Salesforce. That was a problem since he’d promised at Salesforce’s annual conference the year before that he’d return with 100 agents running, and it wasn’t looking like he’d hit that target.
Akinmade says his team spent weeks hitting a wall — meeting with architects, talking to forward-deployed engineers, consulting everybody they could — without making progress. June changed that, he says, giving his team a clear view of where to deploy agents and letting them do so safely, even before the official kickoff call between the two companies
Rapoport sees June as a tool that complements FDEs and consultants, but her customers may be drawn to it for the opposite reason: it lets them avoid FDEs altogether.
When Akinmade was first considering piloting the tool at CMG, he says he told her: “If your product requires FDEs, I don’t want your product. I’ve already I’ve already done that and I’m getting annoyed by it. I don’t want a black box. I don’t want something only certain people can figure out. I want an easy-to-use tool.”
Evidently, June cleared the bar.
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