DeepFounder

DeepFounder is an AI laboratory that builds an operating system specifically designed for small and medium-sized businesses (SMBs) in the United States. The lab focuses on researching and deploying proprietary language models, autonomous agents, and business intelligence tools. These systems are created for business owners and operators—not engineers—making them accessible to people who run day-to-day operations. DeepFounder currently has three active products in production, each serving a distinct function within a unified ecosystem. The first product helps businesses handle repetitive administrative tasks by using autonomous agents that can manage scheduling, customer communication, inventory tracking, and order processing without requiring manual intervention. These agents are trained on domain-specific data and can adapt to the unique workflows of each company. The second product is a business intelligence engine that aggregates data from multiple sources—such as point-of-sale systems, accounting software, and customer relationship management tools—and then generates actionable reports. It identifies patterns in sales, expenses, and customer behavior, allowing operators to make decisions based on real-time insights rather than guesswork. The third product is a suite of language models tailored for SMB environments. Unlike generic large language models, these models are fine-tuned on local business terminology, legal requirements, and industry-specific regulations. They can generate contracts, respond to customer inquiries, summarize financial documents, and assist with compliance tasks. DeepFounder’s approach is rooted in research. The lab operates as a physical and virtual facility with locations in New York and Lisbon, running continuous experiments under the “EXP