A $20 million startup wants AI to fix its own deployment mess
Getting AI to actually work inside a large company is so painful that a new wave of expensive consultants has emerged just to handle it. June thinks software can replace them.
Key points
- June, an AI deployment startup, raised $20 million in pre-seed funding led by Marc Benioff's Time Ventures in 2025.
- Backers also include Michael Dell, Aaron Levie, and George Kurtz.
- The four founders previously built and sold an AI company called Bonobo AI to Salesforce in 2019.
- Large companies routinely spend weeks stalled trying to connect AI tools to their existing data systems.
- June's platform scans a company's systems, finds the blockages, and builds a step-by-step plan to get AI agents running without outside consultants.
Big companies want AI. Getting it to actually do anything useful inside their existing systems is a different problem entirely.
That gap has quietly spawned a small industry of forward-deployed engineers, specialists who fly into a company, roll up their sleeves, and manually untangle the mess so an AI tool can finally connect to real data and real workflows. It is expensive, slow, and, according to one new startup, unnecessary.
What does June actually do?
June scans a company's existing software systems, maps out where the blockages are, and builds a clear plan for deploying AI agents, software programs that can carry out multi-step tasks automatically, without needing outside consultants to do the heavy lifting.
CEO Efrat Rapoport, a former Salesforce executive, co-founded the company with Ohad Hen, Barak Goldstein, and Idan Tsitiat. The four of them built Bonobo AI together, a voice-to-text company that Salesforce acquired in 2019. After spending years inside Salesforce watching large customers struggle to adopt AI, they decided the problem needed a new kind of fix.
The core issue is messiness. A typical large company stores its data across multiple platforms, including Salesforce, ServiceNow, Workday, and others, each carrying years of accumulated clutter: duplicate fields, disconnected data sources, workflows no one fully documents. An AI agent dropped into that environment gets confused fast.
"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?" Rapoport told TechCrunch AI.
June's answer is to scan all of that, surface the specific problems, and give teams a clickable list of fixes. Remove these duplicate fields. Connect to this data source. Click build, and June does the work.
Does this actually work for real companies?
Paul Akinmade, chief strategy officer at CMG, a large US mortgage lender, says yes. His team had already moved to Claude Code, the AI coding tool from Anthropic, but hit a wall integrating it with Salesforce. Weeks of meetings with architects and consultants went nowhere. June, he says, gave his team a clear view of where to deploy AI agents and let them move forward safely, before the two companies had even held an official kickoff call.
Akinmade was blunt about what he needed: "I don't want a black box. I don't want something only certain people can figure out."
That pressure from buyers is exactly the market June is betting on.
What did investors pay for?
The $20 million pre-seed round was led by Time Ventures, the fund run by Salesforce founder Marc Benioff. Michael Dell, Aaron Levie of Box, and George Kurtz of CrowdStrike also backed the company. June did not disclose its valuation.
Rapoport says the raise moved quickly: "We didn't even have a deck for this raise."
The broader bet is that AI deployment, the messy work of connecting AI tools to real company data, is a large and growing problem. Solving it with software rather than consultants is a cleaner business, if June can pull it off.
Watch for: If you work in a company being pitched AI tools, ask specifically how the vendor handles integration with your existing data systems. The answer tells you a lot about whether the AI will work or just sit there.
