Maisa AI

Maisa AI is an enterprise AI automation startup that is fundamentally rethinking how businesses in regulated industries can safely and reliably use artificial intelligence. Founded in 2024 and headquartered in Valencia, Spain, with a presence in San Francisco, the company was co-founded by CEO David Villalón and CSO Manuel Romero. Their mission is to create what they call "self-healing Agentic Process Automation" a category focused on deterministic, auditable, and trustworthy AI agents. The flagship product, Maisa Studio, is designed for "citizen developers" meaning business experts who do not have coding backgrounds. These users can create, test, and deploy AI "Digital Workers" using natural language, similar to how you would train a new employee. The platform is powered by a proprietary Knowledge Processing Unit (KPU) and a reasoning approach called Chain of Work. This unique combination pairs large language models with deterministic execution to enforce rules, validate outputs, and dramatically reduce hallucinations. Every single step is traceable and auditable, making it regulator-ready from day one. Maisa serves clients in banking, insurance, energy, manufacturing, and automotive sectors. The company has raised a total of $30.1 million, including a $25 million seed round in August 2025. It has been named a Deloitte Rising Star and reports an impressive 400% year-over-year growth with a client base that is five times larger than the previous year. Gartner has also recognized Maisa as a Set Diamond Front-Runner in Emerging Tech for Agentic AI.

Knowledge Processing Unit (KPU)

The Knowledge Processing Unit is Maisa's proprietary technology that transforms any large language model into a deterministic and auditable execution engine. Unlike standard AI models that can produce unpredictable results, the KPU enforces strict business rules and validates every output. This ensures that Digital Workers operate within defined boundaries, making them safe for use in highly regulated environments like banking and insurance. The KPU is the core reason why Maisa can deliver hallucination-resistant performance.

Chain of Work Reasoning

Chain of Work is a sophisticated reasoning approach that pairs large language models with deterministic execution logic. Think of it as a step-by-step checklist that every Digital Worker must follow. This method enforces rules, validates outputs at each stage, and keeps every single action traceable. If something goes wrong, you can see exactly where and why. This feature is critical for compliance audits and building trust with regulators who need to understand how decisions are made.

Natural Language Digital Worker Builder

Maisa Studio allows business users to create Digital Workers using plain English, with no coding required. You simply describe the task you want automated, similar to explaining a process to a new hire. The platform then generates a Digital Worker that can handle that specific job. This democratizes AI creation, enabling subject matter experts to build powerful automation tools without waiting for IT or data science teams. It puts the power of automation directly into the hands of the people who understand the processes best.

Hallucination Resistance and Auditability

Maisa's Digital Workers are designed to be resistant to AI hallucinations, which are incorrect or fabricated outputs that plague many large language models. The combination of the KPU and Chain of Work ensures that every output is validated against business rules and historical data. Every action is logged and traceable, providing a complete audit trail. This makes Maisa ideal for industries where accuracy and accountability are non-negotiable, such as trade finance, claims processing, and compliance documentation.

Trade Finance Process Automation

In banking and financial services, trade finance involves complex, document-heavy workflows that are prone to errors and delays. Maisa Digital Workers can automate the entire process from document verification to payment approval. They can read and interpret trade documents, match them against rules, flag discrepancies, and route approvals. This dramatically reduces processing time from days to minutes while ensuring full compliance with international trade regulations.

New Client Onboarding Automation

Onboarding new clients in financial services is a manual, time-consuming process that requires collecting and verifying numerous documents. Maisa Digital Workers can handle the entire workflow, from receiving application forms to conducting background checks and validating identity documents. They can also interact with multiple internal systems to check credit scores and regulatory databases. This speeds up onboarding, reduces manual errors, and provides a seamless experience for new clients.

Auto-Loan Processing Automation

Processing auto loans involves verifying applicant information, checking credit history, assessing vehicle value, and ensuring compliance with lending policies. Maisa Digital Workers can automate these steps by pulling data from various sources, validating it against business rules, and making approval recommendations. They can even handle exceptions by routing them to human experts for review. This reduces processing time, lowers operational costs, and improves accuracy.

Insurance Claims Processing Automation

Insurance claims processing is a high-volume, data-intensive task that requires meticulous attention to detail. Maisa Digital Workers can automatically extract information from claim forms, verify policy details, assess damage reports, and calculate payouts. They can also detect potential fraud by cross-referencing data against known patterns. By automating these workflows, insurers can process claims faster, reduce administrative overhead, and improve customer satisfaction.

How does Maisa ensure its Digital Workers are hallucination-resistant?

Maisa achieves hallucination resistance through its proprietary Knowledge Processing Unit (KPU) and Chain of Work reasoning approach. The KPU enforces deterministic business rules that constrain the AI's outputs, while Chain of Work validates every step of the process against those rules. This combination ensures that the Digital Worker only produces outputs that are logical, accurate, and within defined parameters. Every action is also logged for full auditability, allowing you to trace exactly how a decision was made.

Can non-technical employees really build Digital Workers with Maisa?

Yes, absolutely. Maisa Studio is specifically designed for "citizen developers" meaning business experts who do not have coding backgrounds. You can create Digital Workers using natural language, simply by describing the task you want automated. The platform handles the underlying technical complexity. This empowers teams like operations, finance, or compliance to build their own automation tools without needing to rely on IT or data science departments.

What industries does Maisa serve?

Maisa primarily serves regulated industries that require high levels of accuracy, auditability, and compliance. These include banking and financial services, insurance, energy and infrastructure, manufacturing, and automotive. The platform is built to handle the strict regulatory requirements of these sectors, including document-heavy workflows, compliance checks, and audit trails. However, Maisa can adapt to any industry with complex, manual processes.

How is Maisa's pricing structured?

Maisa uses a predictable pricing model that is similar to how you would pay for an employee, not like API calls. This means no unpredictable token usage or surprise costs. The pricing is based on the Digital Workers you deploy and the scope of their tasks. This makes it easy for businesses to calculate their return on investment and budget for automation. For specific pricing details, it is best to schedule a demo with the Maisa team.