June AI emerged from stealth on August 3 with $20 million in pre-seed funding, betting that enterprises struggling to put AI agents to work need a tool, not more consultants.
The New York-based startup’s lead investor is Marc Benioff’s Time Ventures; other backers include Dell Technologies founder Michael Dell, former VMware CEO Diane Greene, Box co-founder Aaron Levie and CrowdStrike founder George Kurtz, according to June’s launch announcement. The founding team — CEO Efrat Rapoport, CTO Idan Tsitiat, President Barak Goldstein and Chief Architect Ohad Hen — previously built Bonobo AI, a conversational-intelligence company Salesforce acquired in 2019, and spent five years there afterward.
“Every company wants to become an AI company, but the hard part is not the demo,” Rapoport said in the announcement. “The hard part is changing the systems, workflows and operating models that already exist inside the enterprise.”
That gap has traditionally been filled by forward-deployed engineers — specialists who embed on-site for months to wire AI tools into a company’s existing Salesforce, Workday, Oracle or SAP setup. June’s software instead scans a company’s own systems, flags where automation stalls, and produces a step-by-step deployment roadmap that in-house teams can run themselves.
A Real-World Pilot
According to TechCrunch, one early tester was CMG, a U.S. mortgage lender that had already moved its engineering workflows onto AI coding tools but stalled trying to connect them to Salesforce. Chief strategy officer Paul Akinmade said he told Rapoport plainly that he didn’t want another product built around forward-deployed engineers: “I don’t want a black box… I want an easy-to-use tool.” June reportedly gave his team visibility into where to deploy AI agents and got a pilot running before the two companies even held a formal kickoff call.
June joins a crowded field of companies chasing the same bottleneck. Microsoft’s $2.5 billion Frontier Company takes the opposite approach, embedding its own engineers directly with clients, while cloud providers and consultancies have built out entire enterprise AI practices around the same problem. June has not disclosed pricing, named further customers, or said when its product will be broadly available; its founders’ investor list — spanning enterprise software, cybersecurity, and infrastructure veterans — signals that deployment friction, not model quality, is where they see the money going next.