June emerges from stealth with $20 million to automate AI implementation

The primary obstacle to enterprise artificial intelligence is rarely the model itself, but the fragmented legacy architecture beneath it. Efrat Rapoport and her three co-founders, who previously sold the language model startup Bonobo AI to Salesforce, emerged from stealth on Monday with $20 million in pre-seed funding to automate the labor-intensive process of deploying agents within complex corporate environments. The round, led by Marc Benioff’s Time Ventures, included participation from Michael Dell, Aaron Levie, and George Kurtz.

Corporate data currently resides in silos across platforms like Salesforce, ServiceNow, and Databricks, often laden with years of technical debt and duplicate fields. This complexity has birthed a growing sector of professional services known as forward-deployed engineers—specialists hired specifically to manually integrate AI tools into these systems. June’s platform is designed to scan these existing workflows, identify bottlenecks, and generate a step-by-step roadmap for agent implementation. The software then builds the necessary connections and optimizations directly within the organization’s infrastructure.

Initial deployments suggest a significant reduction in friction for technical leads. At CMG, a major U.S. mortgage lender, internal teams had spent weeks attempting to integrate Claude Code with Salesforce before utilizing June to map and execute the deployment. For enterprise operators, the value proposition lies in moving away from a "black box" approach to implementation, favoring a tool that allows internal teams to maintain visibility over their data sources and logic as they scale toward production.