Recently, Maisa AI announced a $25 million seed funding round, with investors including the European venture capital firm Creandum. This startup, which was established only a year ago, is dedicated to improving enterprise automation through responsible AI agents, avoiding the opacity brought by traditional AI models. According to a report released by the MIT NANDA initiative, 95% of generative AI pilot projects fail in enterprises, making the establishment of Maisa AI increasingly important.
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Maisa AI launched a platform called Maisa Studio, where users can independently deploy digital employees and train them using natural language. David Villalon, CEO of Maisa, stated that this platform differs from other low-code platforms in the market, as Maisa focuses on building "workflows" that can perform tasks, rather than simply generating responses.
Manuel Romero, co-founder and Chief Science Officer of Maisa AI, previously worked at the Spanish AI startup Clibrain. They believe that while AI technology itself is not questionable, it is impractical to review the results of a large amount of work in a short time. Therefore, Maisa has adopted a method called HALP (Human-Enhanced LLM Processing), a system that gradually displays the various steps the digital employee will perform when the user inputs their requirements.
To limit AI from generating incorrect information, Maisa also developed a deterministic system called the Knowledge Processing Unit (KPU). The application of this technology has helped Maisa gradually gain trust in enterprises, and many well-known companies have already started using Maisa's technology in production, including a major bank and several automotive manufacturing and energy companies.
Maisa aims to become a more advanced robotic process automation (RPA) solution, helping enterprises increase productivity without relying on rigid rules or cumbersome manual programming. The company also offers secure cloud and on-premise deployment options to meet the needs of different enterprises.
Although the number of Maisa's customers is still smaller compared to popular free low-code platforms in the market, Maisa is moving towards expanding its customer base. The company plans to further expand its market by leveraging the operations of its existing customers in multiple countries.
Maisa AI hopes to rapidly expand in the coming months with this round of funding, increasing the workforce from 35 to 65 employees to meet the growing market demand. Villalon stated that their goal is to demonstrate to the market that Maisa can deliver on its promises.
Key Points:
🌟 Maisa AI completed a $25 million funding round, focusing on improving the success rate of enterprise AI applications.
🤖 Launched the Maisa Studio platform, allowing users to independently train digital employees using natural language.
📈 Plans to expand the team size in the future to meet the rapidly growing market demand.
