A Marc Benioff-backed startup thinks AI can solve the AI deployment problem

🚨 Flash Sale 🚨 Get $100 off your Disrupt 2026 ticket Get $400 off your Disrupt 2026 ticket: REGISTER NOW. Close TechCrunch Desktop Logo TechCrunch Mobile Logo LatestStartupsVentureAppleSecurityAIAppsDisrupt 2026 EventsPodcastsNewsletters SearchSubmit Site Search Toggle Mega Menu Toggle Topics Latest AI Amazon Apps Biotech & Health Climate Cloud Computing Commerce Crypto Enterprise EVs Fintech Fundraising Gadgets Gaming Google Government & Policy Hardware Instagram Layoffs Media & Entertainment Meta Microsoft Privacy Robotics Security Social Space Startups TikTok Transportation Venture More from TechCrunch Staff Events Startup Battlefield StrictlyVC Newsletters Podcasts Videos Partner Content TechCrunch Brand Studio Crunchboard Contact Us Image Credits:June AI A Marc Benioff-backed startup thinks AI can solve the AI deployment problem Tim Fernholz 3:00 AM PDT · August 3, 2026 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. 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. You have complex workflows.

You have years of technical debt.” var playerInstance_jwplayer_6a7578d4d14e7 = jwplayer( "jwplayer_6a7578d4d14e7" ); playerInstance_jwplayer_6a7578d4d14e7.setup(); Building an agent template is the easy part, she says. The hard part is getting it to work with the mess underneath. 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 because 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 done that and I’m getting annoyed by it.