The implementation of enterprise software has encountered a significant hurdle. Companies are acquiring advanced artificial intelligence tools, but integrating these tools into legacy systems remains a slow, costly, and complex task. To solve this problem, the company June AI has raised $20 million in seed funding.
Deploying enterprise software is a labor-intensive and complicated process. Globally, organizations invest hundreds of billions of dollars annually in configuring, integrating, and supporting their core systems. Businesses aim to integrate models like GPT, but the presence of years of technical debt complicates the operation of such systems. There are very few seamless connections between older platforms, such as SAP, Oracle, Workday, and Salesforce, and modern cloud data infrastructure.
June AI directly addresses this implementation gap. Instead of forcing companies to hire expensive external consulting teams, the startup uses AI agents to optimize the integration process. The platform functions as an automated digital bridge, analyzing enterprise workflows and automating repetitive configuration tasks, which significantly reduces the time required for enterprise software setup.
The process at June AI begins with deep system analysis and process mining. The platform studies existing database logs to determine how business workflows are actually executed within an organization. After mapping these hidden patterns, the system identifies operational bottlenecks and automates structural changes in the software. This technology works natively in core data environments such as Databricks and Snowflake.
By mapping inter-system relationships, June AI ensures that updates in one department do not disrupt subsequent processes. The platform allows engineers working directly in the system and system integration teams to deploy enterprise AI agents with less friction and lower overall costs. The global systems integration market is expected to reach over a trillion dollars in the coming decade. As companies increase their investments in AI, automated integration will become an integral part of corporate infrastructure. Advanced foundational AI models are of little value if enterprises cannot connect them to their real-time operational data.
The founding team brought deep experience in enterprise software to solve this problem. June AI is the brainchild of CEO Ephrat Rapoport, CTO Idan Zittat, President Barak Goldstein, and Chief Architect Ohad Hen. The founders previously developed the conversational intelligence platform Bonobo AI, which Salesforce acquired in 2019. Over the past five years, they led key product and engineering teams within Salesforce, gaining firsthand experience with challenges in the enterprise sector.
They noticed that purchasing AI software is relatively simple, but implementing it into disparate user workflows is extremely difficult. June AI was created to replace manual professional services with automated software workflows, providing faster value realization for modern enterprise solution buyers. With the $20 million in new capital raised and support from leading industry figures, June AI is well-positioned to innovate in automated deployment. By eliminating technical debt and accelerating integrations, the company helps businesses move from simple AI demonstrations to fully functional automated operations.
The tech startup Genius AI has raised $44 million in investment to capitalize on the growing demand in the personal interaction-focused service economy. With this Series D funding round, the company's valuation reached $1.15 billion.
Venture firm Lux Capital led the round. Other investors included Bessemer Venture Partners, Imaginary Ventures, L Catterton Growth, 2048 Ventures, and StepStone Private Ventures. These funds will allow Genius AI to shift its focus from beauty booking software to autonomous artificial intelligence tools for a wider range of in-person services.
The company, formerly known as GlossGenius, was founded in 2015 by identical sisters Danielle and Leah Cohen-Shohet. They initially created GlossGenius to help salon owners, aestheticians, and spa operators manage their daily operations. Danielle independently learned programming and wrote the initial code, and over time, the software became a dominant force in the market, helping small businesses process payments, book clients, and promote their services.
The company is now changing its name to Genius AI, signifying a broader mission. As Genius AI, the platform will support all in-person professionals. It is planned for use in medical spas, physical therapy centers, fitness studios, injections, and health clinics.
The physical service economy in the United States includes about eight million businesses generating over $2 trillion in annual consumer spending. Although studies show that business owners spend nearly 36% of their working time on administrative tasks, Genius AI aims to completely eliminate this bureaucratic burden. The platform goes beyond simple assistance tools and transforms into an autonomous AI agent capable of handling complex tasks end-to-end, freeing up business owners to interact with clients.
The company demonstrates impressive growth and operational scale. Currently, the system is used by over 125,000 businesses across half of the US zip codes. Genius AI reports that its platform is approaching $200 million in annual revenue. To date, the company's tools have helped clients save over 112 million hours of administrative work. To deepen penetration into the healthcare sector, the company has added full HIPAA compliance, allowing physical therapists and clinical specialists to securely store sensitive patient data. This gives Genius AI a significant advantage over traditional tools lacking privacy protection. As artificial intelligence automates office work, human care becomes even more valuable, as skilled professionals like masseuses and trainers provide care that computer code cannot replicate. The new funding is planned to be used to expand software development and increase the engineering team.
