June AI

Company Overview

Snapshot

Founded in December 2024 by Efrat Rapoport and Ohad Hen, June AI operates with 11–50 employees. The company has raised $20M across one funding round from 3 investors. In August 2026, June AI secured pre-seed funding, with TIME Venturess participating.

Business overview

June AI provides a B2B agentic platform designed for enterprise IT, operations, and transformation teams. The platform connects to existing business systems, extracting configurations and dependencies to convert undocumented logic into plain-language rules and workflow maps. It enables teams to describe desired changes in natural language, generating implementation plans, building and testing changes with native enterprise tools, and creating training and communications. June AI supports system implementations, migrations, upgrades, ongoing optimization, and the deployment of AI agents across complex environments, aiming to reduce reliance on manual processes and enhance control over business logic and software delivery.

Strategic signal

In August 2026, June AI raised $20 million in pre-seed funding from investors including. This significant early-stage investment from prominent figures in the tech industry signals strong validation for June AI's approach to solving AI deployment challenges within enterprises and suggests a high-growth trajectory for its agentic platform.

Company Intelligence Q&A

When was June AI founded and by whom?

June AI was founded in December 2024 by co-founders Efrat Rapoport and Ohad Hen.

What is June AI's primary focus?

June AI focuses on providing an agentic platform for enterprise IT, operations, and transformation teams to map, implement, and optimize enterprise systems and AI workflows.

What was a significant funding event for June AI?

In August 2026, June AI secured a pre-seed funding round of $20 million. Investors included TIME Venturess and Dell Technologies Capital.

What problem does June AI aim to solve for enterprises?

June AI aims to reduce enterprises' reliance on manual discovery workshops, ticket queues, system integrators, and forward-deployed engineering teams by providing a platform for clearer control over business logic and faster, safer software delivery.

How does June AI's platform facilitate changes in enterprise systems?

June AI's platform allows teams to describe desired changes in natural language, then it creates an implementation plan, builds and tests the change with native enterprise tools, records each step for review, and generates training and communications for affected employees.