Maisa AI Secures $25M to Tackle Enterprise AI Failures
Maisa AI Raises $25M to Transform Enterprise AI Success Rates
Recent research from MIT’s NANDA initiative reveals a daunting reality: 95% of generative AI pilots in enterprises are currently failing. Yet, instead of abandoning AI, leading organizations are shifting towards more advanced, accountable AI agent systems—an area where Maisa AI is making notable strides.
Introducing Maisa AI: Accountable AI Agents for Businesses
Founded just a year ago, Maisa AI is focused on building AI solutions that prioritize transparency and reliability. With a fresh $25 million seed investment led by European VC Creandum, the company has launched Maisa Studio: a platform for creating digital workers that can be trained using natural language, making enterprise automation more accessible and effective.
How Maisa AI Differs from the Competition
Unlike many AI platforms that focus solely on generating responses, Maisa AI emphasizes building the processes behind those responses—a method they call “chain-of-work.” This process-driven approach allows companies to automate complex workflows while maintaining oversight and control.
- HALP (Human-Augmented LLM Processing): Involves users directly in defining their workflow needs, while AI agents transparently outline each step.
- KPU (Knowledge Processing Unit): A deterministic system designed to minimize AI hallucinations and increase trust in outcomes.
Serving Critical Sectors with Trustworthy AI
Maisa AI’s client roster already includes a major bank and organizations in automotive and energy sectors. Their approach appeals particularly to highly regulated industries where reliability, traceability, and on-premise deployment options are essential.
Scaling Up with Fresh Funding
The recent investment will help Maisa AI expand its workforce from 35 to 65 employees by early 2026, enabling the company to serve a growing waitlist of enterprise customers worldwide. Having dual headquarters in Valencia and San Francisco, Maisa is well-placed to support international clients, especially those with operations in multiple countries.
Looking Ahead: Setting a New Standard for Enterprise AI
Maisa AI stands out by focusing on complex, high-stakes business processes that non-technical users can manage. While their customer base is currently smaller than that of more consumer-oriented platforms, Maisa’s commitment to reliability and auditability could prove crucial as more organizations look to scale AI responsibly.
As CEO David Villalón explains, "We are going to show the market that there is a company that is delivering what has been promised, and that it’s working." By doubling down on transparency and user accountability, Maisa AI aims to be a trusted partner for enterprises navigating the next phase of AI adoption.
