VALENCIA, 25 February 2026: Maisa, an enterprise AI infrastructure company building auditable “digital workers” for regulated industries, has reported 400% year-on-year growth and a fivefold increase in its client base over the past year. The company has now been named a Rising Star in the Deloitte Technology Fast 50 Programme 2026, recognising high-growth technology companies with strong scalability and market momentum
The announcement comes as enterprises move generative AI beyond experimentation and into mission‑critical production environments. While adoption is widespread, a growing body of research shows that the majority of AI initiatives struggle to advance past early stages: only about 5% of enterprise AI pilots successfully scale into production with measurable impact, and as many as 95% fail to deliver meaningful ROI without robust infrastructure and governance.
Despite widespread AI adoption, industry research shows that a significant proportion of enterprise AI initiatives fail to scale beyond the pilot stage, often due to governance gaps, integration complexity, and limited visibility into how AI-driven decisions are executed in production. While nearly 88% of organizations now use AI in at least one business function, only about 38% have successfully scaled AI beyond pilot projects into full production, highlighting the widening gap between experimentation and meaningful enterprise deployment. As scrutiny from regulators and internal risk teams increases, enterprises are prioritising infrastructure that combines AI capability with traceability and control. Maisa addresses this challenge by enabling organisations to deploy AI “digital workers” that execute complex, end-to-end business processes with full transparency. Rather than relying solely on probabilistic model outputs, the platform structures tasks into verified, step-by-step execution flows. Every action is recorded in a verifiable Chain of Work, allowing enterprises to see what was done, why it was done, and how outcomes were reached- a critical requirement in regulated environments.
“Innovation alone doesn’t move AI into production, but accountability does,” said David Villalón, Co-Founder and CEO of Maisa. “Enterprises are no longer satisfied with impressive pilots. They need systems they can inspect, govern, and defend under audit. Our growth reflects that shift in market expectations.”
That shift is reflected in early enterprise deployments. Elecnor, a global engineering and infrastructure group, recently implemented Maisa to operationalise internal processes through AI-driven execution.
“We have been very happy about Maisa’s adaptation to our needs and helping our team succeed with operationalising our standard operating procedures,” said the Director of Digital Transformation & Innovation at Elecnor. “It has been a collaborative experience where, within a matter of weeks, we moved from semi-structured operational guidance to a fully functional Digital Worker that enables us to manage our first AI-driven business operation, while simultaneously formalising a written standard operating procedure aligned with our business goals.”
Powered by its proprietary Knowledge Processing Unit (KPU), Maisa’s platform combines contextual AI reasoning with deterministic execution logic and built-in validation at each step. This approach is designed to reduce operational risk, prevent unverified outputs from propagating through workflows, and ensure results remain auditable under regulatory review.
Over the past year, Maisa has expanded its operations across Europe and the United States, growing its team fivefold while deepening deployments in highly regulated sectors where documentation-heavy, judgment-based workflows have historically resisted automation. Backed by a $25 million seed round led by Creandum and Forgepoint Capital International, with participation from NFX and Village Global, the company is accelerating product development and enterprise expansion as organisations reassess how to deploy AI safely at scale.
Deloitte’s Rising Star recognition underscores a broader market shift: as AI adoption matures, infrastructure capable of delivering transparent, traceable, and defensible outcomes is becoming foundational to enterprise deployment.
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About Maisa
Founded in 2024 and headquartered in Valencia, Spain, with operations across Europe and the United States, Maisa is an enterprise AI automation company enabling accountable, production-ready digital workers. Through its Maisa Studio platform and proprietary Knowledge Processing Unit (KPU), the company combines AI reasoning with deterministic execution to deliver traceable, auditable outcomes in regulated environments. Maisa supports flexible cloud and private deployments and serves industries including banking, financial services, insurance, energy, and manufacturing. For more information, visit https://maisa.ai/
