Maisa

Maisa is an agentic process automation platform, sometimes described as robotic process automation reimagined, that builds accountable AI digital workers for regulated, high stakes business processes. Founded in 2024 in Valencia and San Francisco by chief executive David Villalon and chief science officer Manuel Romero, a prolific open source model contributor, it has raised roughly thirty million dollars, including a twenty five million dollar seed led by Creandum with Forgepoint, NFX, and Village Global. Maisa has been named across ten Gartner Hype Cycle reports and listed among leading agentic AI vendors alongside Google, Amazon, and Salesforce.

The core of Maisa is a proprietary Knowledge Processing Unit, a deterministic reasoning engine that turns any general purpose model into a trustworthy task executor. Rather than accepting whatever a model produces, the unit decomposes a task into explicit steps, generates and runs code for each one in a secure environment, and validates outputs against the rules defined at setup. Every action is recorded in a Chain of Work, a transparent, auditable trace showing the task, the tools and sources used, what was returned, and which validations passed, so a business can see exactly how each outcome was reached and every number ties back to a document.

Maisa Studio lets non technical citizen developers build and deploy digital workers in plain natural language, with no datasets or developers required, using a training method it calls human augmented processing so workers learn on the job. Digital workers act like employees rather than scripts, making application programming interface calls, performing user interface interactions, entering data, generating documents, and running cross system workflows across hundreds of standard connectors. The platform is model agnostic, so organizations can adopt stronger models over time without losing the rigor of the reasoning engine, and it targets finance, insurance, healthcare, energy, and supply chain.

Because it is built for compliance conscious industries, Maisa emphasizes reliability and auditability, and it runs either in its secure cloud or deployed privately on premises inside a customer's own infrastructure, so data need not leave their environment. Its deterministic Chain of Work is designed to be regulator ready, and pilots at global banks, automakers, and energy companies report large gains, including one financial services firm cutting false positives by ninety nine percent. Named security certifications were not surfaced and would be worth confirming, though Maisa notably touches nearly every capability in this category.