Maisa's AI 'digital workers' fuel 400% growth surge

Maisa reported 400% year-on-year growth and a fivefold increase in its client base after being named a Rising Star in the Deloitte Technology Fast 50 Programme 2026.

The Valencia-headquartered company positions itself as an enterprise AI infrastructure provider for regulated industries. It markets auditable "digital workers" that carry out defined business processes and keep a record of actions taken during execution.

Rising Star status in the Deloitte programme recognises fast-growing technology companies. Maisa said the recognition reflects demand from organisations seeking more control and traceability as they move generative AI from experimentation to operational use.

Scaling gap

Many large organisations now use AI in at least one business function, but fewer have managed to scale systems beyond initial pilots. Maisa cited industry figures showing 88% adoption in at least one function and 38% scaling beyond pilots. It also pointed to research suggesting only a small proportion of pilots reach production with measurable impact.

Governance gaps, integration complexity, and limited visibility into AI-driven decisions remain recurring obstacles to running AI across core workflows. Risk teams and regulators have also increased scrutiny of automated decision-making, raising the bar for audit trails and process controls.

Maisa's approach centres on structured workflows. It breaks tasks into verified, step-by-step execution flows and records actions in what it calls a "Chain of Work", intended to show what happened and how outcomes were reached.

Product approach

The platform uses a proprietary component called a Knowledge Processing Unit (KPU). Maisa describes it as combining contextual AI reasoning with deterministic execution logic, with validation checks at each step of a workflow.

Maisa argues this method reduces the risk of unverified outputs moving through a process. It also says a structured record of actions can help meet audit requirements when organisations must show how a result was produced.

Its target market includes sectors with documentation-heavy workflows, where compliance requirements can slow adoption of new automation tools. Maisa lists banking, financial services, insurance, energy, and manufacturing among the industries it serves.

Customer example

Elecnor, an engineering and infrastructure group, has used Maisa in an internal deployment focused on operational processes, according to Maisa.

"We have been very happy about Maisa's adaptation to our needs and helping our team succeed with operationalising our standard operating procedures," said Elecnor's Director of Digital Transformation & Innovation. "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."

Maisa did not disclose revenue, profitability, or the number of customers. It also did not specify how many "digital workers" are deployed in production environments.

Expansion and funding

Over the past year, Maisa expanded operations across Europe and the United States. It also reported a fivefold increase in headcount, alongside growth in its client base.

The company is backed by a $25 million seed round led by Creandum and Forgepoint Capital International, with participation from NFX and Village Global. Maisa said it has used the funding for product development and expansion with larger organisations.

Competition in enterprise AI infrastructure has intensified as more vendors pitch tools for workflow automation, model governance, and auditability. Buyers have also become more cautious after early pilot projects failed to deliver measurable operational results.

Maisa linked its recent growth to this shift in enterprise priorities, with more emphasis on inspection, governance, and documentation for AI-driven work.

"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."

Maisa expects demand to continue as organisations move generative AI into production while facing tighter internal controls and external scrutiny.