Monogram

Monogram is an artificial intelligence startup focused on reimagining human-computer interaction by replacing traditional text-based chat with dynamic, visual user interfaces. Founded in 2026 by serial entrepreneur Eren Bali, who previously co-founded Udemy and Carbon Health, alongside Edouard Tabet and Murat Akbal, the company emerged from stealth in July 2026 with a notable $40 million seed funding round. The round was co-led by DST Global and Lux Capital, with participation from firms including Conviction, SOMA Capital, and Gradient Ventures. The firm's core product is a free consumer iPhone application that generates a custom, interactive visual interface—effectively a mini-app—in seconds for each user query. Instead of responding with a block of text, the Monogram app creates a visual-first experience for tasks like planning a trip, finding a recipe, or comparing products. This approach is designed to lower cognitive load and make interacting with AI more intuitive, for example by presenting a calendar for choosing dates or interactive tiles for comparing options. The technology synthesizes information from multiple sources to build these interactive responses on the fly. Monogram positions itself as a new paradigm for AI interaction, aiming to provide a foundational user interface for AI in the same way the mouse, web browser, and multi-touch screen did for personal computing. The company’s substantial seed funding, raised prior to a public product launch, is largely attributed to the strong track record of its founder, Eren Bali, in building and scaling successful tech companies. The business operates in the consumer AI application market, offering a distinct alternative to prevailing chatbot interfaces. Keywords: Generative UI, visual interface, interactive AI, consumer AI, mobile AI application, AI assistant, Eren Bali, human-computer interaction, user interface generation, AI-native UI, large language models, dynamic interfaces, AI application, query response, visual search, DST Global, Lux Capital, AI user experience, natural language processing, intelligent apps, personal AI, interactive responses, data visualization, AI product design