Maisa AI Raises $25 Million Seed Funding to Tackle Enterprise AI Reliability

Maisa AI's $25 million seed round was led by European venture capital firm Creandum. Additional participation came from Forgepoint Capital (via its joint venture with Banco Santander), and U.S.-based firms NFX and Village Global. This round follows a prior $5 million pre-seed investment, highlighting continued interest from both U.S. and European investors. The funding will be used to support hiring across research, engineering, and sales, as well as to expand the company's presence in regulated industries and global markets ^[1][2].

Maisa's flagship product, Maisa Studio, is designed to create 'digital workers' for enterprises. The system is model-agnostic and leverages two main innovations: a 'chain-of-work' transparency framework and a deterministic Knowledge Processing Unit (KPU). The chain-of-work approach documents each step of an AI-driven workflow, allowing users to supervise and audit the process. The KPU aims to sharply reduce 'hallucinations'—incorrect or unverifiable outputs common in large language models—by enforcing deterministic, auditable results. CEO David Villalón stated, 'We’re building accountable AI agents that enterprises can trust for critical tasks' ^[2].

Maisa AI has reported early production use cases in the banking, automotive, and energy industries, with customers deploying its systems on both cloud and on-premises infrastructure as required for compliance. The company currently employs 35 people but plans to double its headcount to 65 by the first quarter of 2026. This expansion is targeted at meeting the needs of regulated sectors that are seeking more reliable automation solutions ^[1][2][5].

The high failure rate of generative AI pilots—estimated at 95% for enterprises—is largely due to issues like hallucinations, lack of transparency, and challenges with auditability. Maisa AI positions itself as a solution to these problems, aiming to provide more trustworthy automation compared to traditional robotic process automation (RPA). The company targets sectors with high regulatory demands, where reliability and traceability are essential ^[2][5].