June, a new artificial intelligence startup, officially launched from stealth mode, announcing it has secured $20 million in pre-seed funding. The investment round was led by Marc Benioff’s Time Ventures, with additional contributions from technology figures including Michael Dell, Aaron Levie, and George Kurtz. The company did not disclose its valuation.
The startup was founded by Efrat Rapoport, Ohad Hen, Barak Goldstein, and Idan Tsitiat, who previously co-founded Bonobo AI, a company acquired by Salesforce in 2019. Their experience at Salesforce highlighted the difficulties large businesses face in reliably integrating AI tools into their existing operations, often due to fragmented data, complex workflows, and legacy systems. This challenge has led to a demand for specialized 'forward-deployed engineers' to assist with AI system implementation.
June's platform is designed to tackle these integration issues by scanning a company's current systems. It identifies business processes, pinpoints bottlenecks, and then constructs optimized, agent-powered processes to replace them. The system also automatically notifies teams through their communication channels, aiming to streamline the deployment and operation of AI within complex corporate environments.
According to Rapoport, the primary hurdle in AI adoption for businesses is not building AI agent templates, but making them compatible with existing legacy infrastructure. This includes dealing with disparate data across platforms like Salesforce, ServiceNow, DataBricks, and Workday, as well as resolving issues like duplicate database fields. June's approach focuses on providing a roadmap for integrating AI with these underlying systems.
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June, a new AI startup founded by former Salesforce executives, emerged from stealth with $20 million in pre-seed funding to address the challenges of deploying AI tools in large enterprises. The company's platform scans existing systems to optimize business processes and integrate AI agents, aiming to simplify AI implementation by dealing with fragmented data and complex workflows.