A Marc Benioff-backed startup thinks AI can solve the AI deployment problem
TechCrunch Tim Fernholz ● Covered by 2 sources
A new startup called June wants AI to fix the mess of getting AI actually working inside big companies. It just raised $20M with backers like Marc Benioff, Michael Dell, and Aaron Levie.
Based on reporting by TechCrunch, Tim Fernholz — read the original for the full story.
Summary, retelling and take written by AI under human oversight; images are AI-generated illustrations. How we work · Report an error
Getting an AI agent to work inside a giant corporation is apparently a lot harder than building one. That's the bet behind June, a company that came out of stealth Monday with $20 million in pre-seed funding led by Marc Benioff's Time Ventures, plus checks from Michael Dell, Aaron Levie and George Kurtz. The pitch, according to cofounder and former Salesforce executive Efrat Rapoport, is almost contrarian: AI is supposed to cut headcount, but right now it's doing the opposite, spawning armies of forward-deployed engineers whose whole job is parachuting into companies to make AI systems actually function.
Rapoport and her three cofounders — Ohad Hen, Barak Goldstein, and Idan Tsitiat — aren't newcomers to this problem. They previously built Bonobo AI, a voice-to-text company that launched before the transformer era took over, back in 2017. Salesforce bought Bonobo two years later, and the team spent years inside the company working on its AI push before deciding to strike out again. What they kept running into, Rapoport says, was customers who couldn't stitch AI into what they already had — Salesforce, ServiceNow, Databricks, Workday, the usual sprawl of enterprise platforms nobody wants to rip out.
June's answer isn't to build another slick agent template — Rapoport says that part is easy. It's to scan a company's existing systems, spot the duplicate fields and tangled workflows that trip up automation, and generate a literal step-by-step roadmap: remove this duplicate, connect that data source, then click build and let June handle the implementation. It's less a chatbot and more a project manager for untangling technical debt, which sounds unglamorous until you realize that's exactly where AI deployments tend to die.
The clearest evidence so far comes from CMG, a major U.S. mortgage lender. Chief strategy officer Paul Akinmade had moved engineering work to Claude Code and told Salesforce's annual conference he'd come back with 100 agents live. Then his team spent weeks stuck, consulting architects and forward-deployed engineers with little to show for it. June, he says, gave them enough clarity to start deploying agents safely before the two companies had even held their official kickoff call.
There's an irony sitting right in the middle of June's pitch. Rapoport frames the product as something that works alongside FDEs and consultants, but Akinmade's own words suggest customers actually want it so they can skip that whole layer entirely. He told Rapoport flatly that he didn't want a black box only a few specialists could operate — he wanted something his own team could run. Whether June stays a complement to the services industry or quietly starts eating it may end up being the real story here, not the funding round or the investor list.
My take — AI-written commentary, not fact-checked reporting
The funniest part of this story is that AI's big promise — fewer people needed — has instead created a booming market for consultants and specialists to make AI work at all. June is smart to attack that gap directly, and the CMG example is genuinely convincing, not just investor puffery. But any company selling itself as the cure for forward-deployed engineers should expect scrutiny the moment it starts hiring its own army of them.
Read more about this at: TechCrunch
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