June AI Launches With USD 20 Million Pre-Seed Funding to Automate Enterprise Software Implementation

In August 2026, June AI launches with USD 20 million in pre-seed funding to automate the process of enterprise software deployment using AI agents. This company is based in New York, and the funding was led by Mark Benioff’s TIME Ventures. There were many other notable contributions, which include:

• Michael Dell, founder, chairman and CEO of Dell Technologies
• Diane Greene, co-founder and former CEO of VMware
• Aaron Levie, co-founder and CEO of Box
• George Kurtz, founder and CEO of CrowdStrike

Enterprises are rapidly adopting automation tools to increase the pace and efficiency of their workflows. They noted that they faced the most challenges in updating their legacy software platforms to make them compatible with modern AI tools. This segment of the market is relatively underserved, and enterprises have to allocate a lot of budget to modernize their legacy platforms. 

• June AI was founded by Efrat Rapoport, Idan Tsitiat, Barak Goldstein, and Ohad Hen.
• Efrat Rapoport is the Chief Executive Officer of the company.
• Idan Tsitiat is the Chief Technology Officer at June AI.
• Barak Goldstein is the President.
• Ohad Hen is the Chief Architect.

These 4 personalities had also previously founded Bonobo AI, which is a smart conversation company. It was acquired by Salesforce in 2019. In their tenure at Salesforce, they developed AI tools and saw how enterprise AI projects lose momentum as corporations struggle to make all their legacy software systems compliant with automation tools.

The platform provided by the company has been developed to automate the tasks that are conventionally performed by frontend engineers, execution teams, and system integrators. The technology offered by the company performs implementation workflows by analyzing enterprise operations, migrating systems, and executing changes.

Impact on the AI Industry

According to Precedence Research, the launch of the enterprise software implementation automation platform is expected to positively impact the AI industry. This is due to the fact that it helps companies with extensive legacy software frameworks migrate to AI-based software systems. This platform automates various arduous and time-consuming tasks to speed up the process of migration. Enterprises can save a significant amount of time, as at business scale, saving time on each software converts to big timeline reduction at the company level.

Impact on the Enterprise Artificial Intelligence (AI) Market

The global enterprise artificial intelligence (AI) market size is estimated at USD 20.93 billion in 2025 and is anticipated to reach around USD 592.51 billion by 2035, expanding at a CAGR of 39.70% between 2026 to 2035.

According to Precedence Research, the launch of June AI is expected to benefit the enterprise artificial intelligence (AI) market. This is owing to the fact that the company is committed to helping enterprises shift from legacy software systems to modern AI-based systems. The company helps to decrease the time taken and increase the efficiency of the transformation. Such platforms will result in widespread adoption of AI tools in enterprises of all sizes. Large established corporations will benefit the most from this initiative as they have massive legacy software infrastructure that would need a huge amount of time to migrate to modern AI-based systems without any process automation.

Impact on the Cloud Computing Market

The global cloud computing market size was estimated at USD 912.77 billion in 2025 and is predicted to increase from USD 1,106.28 billion in 2026 to approximately USD 5,946.84 billion by 2035, expanding at a CAGR of 20.61% from 2026 to 2035.

According to Precedence Research, the launch of the enterprise software implementation automation platform is expected to positively impact the cloud computing market. This is because June AI would need to store a huge amount of data during the migration of legacy systems to AI-based systems. There would be data about regulations, proprietary information, security tokens, and legacy codebases.

This data would have to be stored in cloud facilities to ensure smooth operations. The data would have to be stored depending on the need for security; for example, authorization, authentication, and proprietary data would have to be stored on a private cloud setup for regulatory compliance. The huge datasets of general information that might not be so security sensitive would be stored on public cloud setups.

About June AI

June AI is a recently established technology services provider that helps enterprises shift their legacy systems to modern AI-based systems. The company studies the business logic that is responsible for the functioning of the enterprise. They compare each stage in the logic flow with how the update would affect the enterprise. According to June AI, companies are spending massive amounts of money on AI and are not getting appropriate benefits from it. AI has not yet reached the operations where it could provide the most benefit to the business. The company also provides guidance to the employees of the enterprise to understand, experience, and adopt the shift.