Maisa AI Gets $25M to Fix Enterprise AI’s 95% Failure Rate
A staggering 95% of enterprise generative AI pilots are failing, according to MIT’s NANDA initiative. Instead of abandoning AI, leading companies are shifting to agentic systems designed for accountability and supervision. That’s why Maisa AI gets $25M to fix enterprise AI’s 95% failure rate, betting on a new approach that focuses on transparent, process-driven automation.
Image Credits:Maisa AI
Why Enterprise AI Keeps Failing
Most enterprise AI deployments collapse because they rely on black-box models that produce unreliable results. These failures cost companies millions in wasted resources and lost productivity. Maisa AI believes the solution isn’t just better models, but smarter processes where AI agents are fully accountable.
Maisa Studio: A New Way to Deploy Digital Workers
With its $25 million seed round led by Creandum, Maisa AI has launched Maisa Studio, a model-agnostic platform for building digital workers. Instead of focusing only on outputs, Maisa Studio trains AI to design and follow processes — what the company calls “chain-of-work.” This ensures that every step can be tracked, audited, and improved.
How Maisa’s Approach Stands Out
Maisa AI argues its solution goes beyond “vibe coding” tools like Cursor and Lovable. Instead of AI improvising answers, Maisa agents break down problems into structured steps before execution. This process-driven method reduces hallucinations and increases trust in enterprise workflows.
CEO David Villalón explains: “Instead of asking AI to guess the right answer, we use AI to build the process that will reliably get you there.”
The HALP Advantage
Maisa’s innovation doesn’t stop at processes. Its HALP (human-augmented LLM processing) system gives organizations visibility and control. Much like students solving problems step by step on a chalkboard, HALP allows digital workers to show their reasoning and request input from users when needed.
This ensures humans remain in the loop without being overwhelmed by AI speed, making automation more trustworthy and scalable.
The Founders’ Vision
Maisa AI was founded in 2024 by David Villalón and Manuel Romero, who previously worked together at Spanish AI startup Clibrain. After witnessing firsthand how unreliable AI could be in production, they set out to build a framework where businesses could finally depend on AI for mission-critical tasks.
Their vision is clear: a future where enterprise AI is reliable, auditable, and fully accountable.
Why This Funding Matters
By raising $25 million at such an early stage, Maisa AI has validated its approach to solving one of the biggest challenges in enterprise AI. If successful, it could reduce failure rates dramatically and establish a new standard for AI deployment in global organizations.
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