Startup June emerged from stealth, raised $20 million from investor Marc Benioff to automate AI agents in businesses with legacy systems
Startup June, led by former Salesforce executive Efrat Rapoport, emerged from stealth with $20 million in preseed funding from investor Marc Benioff and Time Ventures. The platform automates the deployment of AI agents in enterprise legacy systems.
June announced on Monday that it had emerged from stealth and raised $20 million in preseed funding. Investor Marc Benioff led the round through Time Ventures, with Michael Dell, Aaron Levie and George Kurtz among the other investors. The company did not disclose its valuation.
Efrat Rapoport founded June together with Ohad Hen, Barak Goldstein and Idan Tsitiat. The four had previously founded Bonobo AI, which launched a speech-to-text service in 2017, before the advent of transformer language models. Salesforce acquired Bonobo AI in 2019, and the founders spent several years working on its AI initiatives before leaving to start their own project after seeing customers struggle to introduce AI into existing enterprise platforms.
According to Rapoport, the platform from June scans existing enterprise systems, maps business processes, identifies bottlenecks and proposes optimized processes powered by AI agents, automatically informing teams about them through company communication channels. According to the company, the platform provides a step-by-step plan (for example, removing duplicate data fields or connecting data sources) and, once the button to build an agent is clicked, creates the agent for the task itself.
As a use case, the article cites US mortgage company CMG, where chief strategy officer Paul Akinmade says he spent weeks unsuccessfully trying to integrate Claude Code with Salesforce, even with help from architects and so-called forward-deployed engineers, before June helped him identify where agents could be deployed safely. Rapoport sees June as a complement to forward-deployed engineers and consultants, but according to the article, customers such as Akinmade seek it out more because it allows them to avoid hiring such specialists.
Why it matters
For businesses with fragmented legacy systems (Salesforce, ServiceNow, Databricks, Workday and the like), the tool offers an alternative to hiring forward-deployed engineers and consulting firms, demand for whose services, according to Rapoport, is paradoxically rising rather than falling with the advent of AI. The cited example involving CMG suggests that the tool may shorten and simplify the safe deployment of AI agents in a complex enterprise environment, but the source provides no details on specific results.
Two audiences, two different impacts
What this means
For individuals
For professionals working as forward-deployed engineers or consultants for AI deployment in businesses, this signals that tools are emerging that aim to partially replace or complement this role.
For a business
According to the example involving CMG described in the article, businesses working to integrate AI agents into fragmented legacy systems are gaining an alternative to hiring forward-deployed engineers and consulting firms for agent deployment.
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Event sources
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