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A staggering 95% of generative AI pilots at companies are failing, according to a recent report published by MIT’s NANDA initiative. But rather than giving up on the technology altogether, the most advanced organizations are experimenting with agentic AI systems that can learn and be supervised.
Introducing Maisa AI
The year-old startup Maisa AI has built its entire approach around the premise that enterprise automation requires accountable AI agents, not opaque black boxes. With a new, $25 million seed round led by European VC firm Creandum, it has now launched Maisa Studio, a model-agnostic self-serve platform that helps users deploy digital workers that can be trained with natural language.
A Different Approach
While similar to vibe-coding platforms like Cursor and Lovable, Maisa argues that its approach is fundamentally different. Instead of using AI to build the responses, Maisa uses AI to build the process that needs to be executed to get to the response — what they call ‘chain-of-work.’ This unique approach is spearheaded by Maisa’s co-founder and chief scientific officer, Manuel Romero, who had previously worked with Maisa CEO David Villalón at Spanish AI startup Clibrain.
Innovative Solutions
To address the challenge of reviewing massive amounts of work in a short time, Maisa employs a system called HALP (human-augmented LLM processing). This method involves digital workers outlining each step they will follow while asking users about their needs. Additionally, Maisa has developed the Knowledge Processing Unit (KPU), a deterministic system designed to limit hallucinations and ensure trustworthiness and accountability in AI applications.
Future Growth
By providing advanced robotic process automation (RPA) solutions to enterprise clients, Maisa aims to unlock productivity gains without rigid rules or manual programming. With plans to expand internationally and grow its team, Maisa is poised to meet the demand for accountable AI solutions in critical business tasks. As the company prepares to serve its waitlist and demonstrate the effectiveness of its approach, Maisa is ready to show the market that reliable and auditable AI solutions are within reach.
