Core Insights - The failure rate of generative AI pilot projects in enterprises is as high as 95%, prompting companies to explore autonomous AI systems that can learn continuously and accept supervision [2] - Maisa AI, a one-year-old startup, focuses on creating accountable agents for enterprise automation rather than opaque black-box solutions [3] Funding and Product Development - Maisa AI has secured $25 million in seed funding led by European venture capital firm Creandum and has launched Maisa Studio, a model-agnostic self-service platform for deploying digital workers trained through natural language [4] - The company differentiates itself by developing a process called "workchain," which emphasizes the execution of tasks to obtain responses rather than merely generating responses [4][5] Technology and Solutions - Maisa AI has developed a system called HALP (Human Augmented Language Model Processing) that allows digital workers to outline execution steps while simultaneously querying user needs [5] - The startup also created a Knowledge Processing Unit (KPU) to limit the generation of hallucinations, enhancing the reliability and accountability of AI applications in critical business areas [9] Market Positioning and Strategy - Maisa aims to position itself as a more advanced robotic process automation (RPA) solution, enhancing productivity without relying on rigid predefined rules or extensive manual programming [9] - The company is targeting enterprise clients, including a major bank and firms in the automotive and energy sectors, and offers both secure cloud and on-premises deployment options [9] Growth Plans - To support its scaling goals, Maisa plans to expand its team from 35 to 65 employees by Q1 2026 and anticipates rapid growth as it begins servicing clients on its waiting list [11] - The startup's dual headquarters in Valencia and San Francisco reflects its commitment to establishing a foothold in the U.S. market, supported by its recent funding rounds [10]