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Marc Benioff-backed startup June exits stealth with $20M pre-seed to fix enterprise AI deployment

June, a startup founded by former Salesforce executive Efrat Rapoport, emerged from stealth on Monday with a $20 million pre-seed round led by Marc Benioff's Time Ventures. Its platform scans a company's existing systems, finds bottlenecks, and automatically builds agent-powered processes to help enterprises actually deploy AI.

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获Marc Benioff力挺的AI初创June结束隐身:2000万美元pre-seed,专攻企业AI落地难
Image source: techcrunch.com

Getting AI tools to work reliably inside big companies is so hard that an entire profession has sprung up to handle it: forward-deployed engineers, or FDEs, specialists who parachute into a business to get its AI systems up and running.

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, she argues, is to hire more and more people.

Rapoport and her three cofounders — Ohad Hen, Barak Goldstein, and Idan Tsitiat — are taking a different approach, backed by $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; Rapoport says investors had enough confidence that we didn't even have a deck for this raise.

The four founders previously built Bonobo AI, a pre-transformer language model company that launched a voice-to-text service in 2017 before being acquired by Salesforce two years later. The team then spent several years on the tech giant's AI initiatives, watching customers struggle to bring AI into existing platforms.

June's platform scans a company's existing systems to understand its business processes, find bottlenecks, and build more optimized, agent-powered processes to replace them, automatically notifying teams through the company's comms channels. The platform hands back a step-by-step roadmap — remove these duplicates, connect this data source — and each task is one click on build, with June doing the work inside the organization.

At CMG, a major U.S. mortgage lender, chief strategy officer Paul Akinmade had moved his software engineering to Claude Code but hit roadblocks integrating it with Salesforce, threatening his promise to return to Salesforce's annual conference with 100 agents running. After weeks of meetings with architects and consultants that went nowhere, June gave his team a clear view of where to deploy agents and let 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: avoiding FDEs altogether. If your product requires FDEs, I don't want your product, Akinmade recalls telling her. I don't want a black box. I don't want something only certain people can figure out.

As the SaaSpocalypse narrative has software firms fearing AI replacement, June bets on a more grounded reality: no one is vibe-coding a CRM for a Fortune 500 company, and any model must still work with Salesforce, ServiceNow, DataBricks, Workday, and a dozen other data platforms. Before AI can create value, someone has to deal with legacy systems. Rapoport points to fragmented data, complex workflows, and years of technical debt. Whether June's platform can deliver that cleanup at scale is the question to watch.

Why it matters

June's $20M pre-seed from high-profile backers signals growing demand for enterprise AI deployment tooling; if its platform replaces the need for armies of forward-deployed engineers, it could reshape how enterprises buy AI services.

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