en.Wedoany.com Reported - Leaf Software Solutions has announced the launch of its AI practice, Leaf AI Studio, dedicated to designing and deploying production-grade artificial intelligence systems for enterprises. Headquartered in Carmel, Indiana, and founded in 1987, the company has previously provided custom software solutions for organizations across multiple industries. Leaf AI Studio is not a product launch but the formal naming of an existing AI practice that has already delivered production-ready AI systems for several organizations.
Since 1987, Leaf has built custom technology for organizations that need software to run in real-world environments. As AI technology has matured into a production-grade discipline, the engineering stance, accountability for results, and continuity of senior personnel from the company's early work have been applied to a growing portfolio of AI systems. The core approach of Leaf AI Studio is to design and build an organization's "intelligence layer"—an end-to-end capability that connects multiple AI systems, designed to amplify how an enterprise operates, generates revenue, and innovates. The intelligence layer is built in phases, typically starting with one or two high-impact areas, delivering deployable production-grade capabilities within four to six months, with each phase serving as part of a larger layer that scales rather than restarts.
Ozan Selcuk, CEO of Leaf Software Solutions, stated that for 39 years the company has built software that runs in real businesses, and now Leaf AI Studio applies the same rigor to AI. Leaf AI Studio operates on a studio model, rather than a staff augmentation or fixed-scope consulting model. Collaboration is led by senior product, engineering, and architecture talent, where those who discover also design and deliver, with no analyst layers or handoffs between strategy and building. Collaboration is organized as a subscription, focusing on outcomes rather than deliverables. The intelligence layer is built on three domains: operations, revenue, and innovation (R&D), which are not isolated initiatives but connected through the same intelligence layer. Leaf AI Studio works with organizations ranging from mid-market to global enterprises, serving CEOs, CIOs, CTOs, and operational, data, and revenue leaders facing AI adoption challenges.
This article is compiled by Wedoany. All AI citations must indicate the source as "Wedoany". If there is any infringement or other issues, please notify us promptly, and we will modify or delete it accordingly. Email: news@wedoany.com









