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Maisa

Also known as: Maisa KPU

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Agentic process automation platform whose Knowledge Processing Unit turns any model into deterministic, auditable digital workers that business users build in natural language for regulated, document heavy workflows.

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. No named security certification is published.

Vendor details

Canonical URL

https://maisa.ai

Category

Agent builder

Subcategory

Agentic process automation with a deterministic reasoning engine and code-trace auditability for regulated industries

Funding status

Independent, founded 2024 in Valencia with a San Francisco presence, by CEO David Villalón and CSO Manuel Romero. Roughly $30M raised: a $5M pre-seed in December 2024 from NFX and Village Global, and a $25M seed in August 2025 led by Creandum with Forgepoint, NFX and Village Global. Named across ten Gartner 2025 Hype Cycle reports and a Rising Star in the Deloitte Technology Fast 50 2026, with the vendor reporting 400% year-on-year growth and a fivefold client increase. Staff reported between roughly 35 and 50, expanding. Sales-led with contact-only pricing. Pilots and deployments cited at global banks, automakers and energy companies.

Company status

independent

Use cases & customers

Primary use cases

Automating document-heavy regulated processes such as loan origination, trade finance and claims where every output must trace to a sourceGiving auditors a Chain of Work record showing each step, the tools and sources used, and which validations passed or failedLetting business process owners build digital workers in natural language without developers or datasetsRunning process automation inside the customer's own infrastructure so data never leaves their perimeterChoosing and switching the underlying model per job without rebuilding, because the work lives in code traces rather than prompts

Deployment options

SaaSon-premisescustomer-cloud

Integrations

The vendor states 300-plus integrations connecting to any system from legacy infrastructure to modern apps, with named classes including CRM, document storage, credit bureaus and core banking for its target sectors of banking, insurance, energy, manufacturing and automotive. Digital Workers act through API calls, UI interactions, data entry, document generation and cross-system workflows, and generate and run code in a secure environment where no connector exists. The platform is model-agnostic with per-job model choice and switching at any time. Deployment is either Maisa's secure cloud or private on-premises inside the customer's own infrastructure, with processing stated to occur inside the customer's perimeter. Note the asymmetry: Maisa reaches outward into many systems but publishes no public API, SDK, webhook or MCP server by which an external system could invoke a Digital Worker.

In practice

A bank automates loan origination. A Maisa digital worker reads each application, extracts income from pay stubs, calls a credit bureau, flags discrepancies against policy, and returns a decision with full supporting evidence where every number ties back to a document.

A compliance team needs every decision explainable. Maisa's Chain of Work records each step a digital worker took, the tools and sources it used, and which validations passed, giving auditors a trace they can follow from task to conclusion.

An operations expert with no coding background wants to automate a process. In Maisa Studio they describe it in plain language, and a digital worker is onboarded like a new colleague, learning on the job through human guidance.

Agentic Index coverage score

9.0 / 14 capabilities · 64%

Integrations & Tool Calling Full

The vendor's product page states Maisa has 300-plus integrations and connects to any system from legacy infrastructure to modern apps. Named system classes for target sectors include customer relationship management, document storage, credit bureaus and core banking.

Digital Workers act across systems through API calls, data entry, document generation and cross-system workflows, with the vendor contrasting them with basic bots by describing them as interacting with business applications as a skilled employee would. Code generation and execution in a secure environment covers systems without a prebuilt connector.

Sourcemaisa.ai product, digital-workers and home pagesread 2026-08-31

Workflow Orchestration Full

The Knowledge Processing Unit is documented as comprising a Reasoning Engine powered by a language model that plans multi-step workflows, an Execution Engine that carries out plans and feeds outcomes back for recalibration, and a Virtual Context Window that focuses the model on relevant data.

The KPU decomposes a task into explicit steps and generates and runs code for each in a secure environment, with the vendor describing it as an AI Computer orchestrating tools, data and workflows based on user intent. Digital Workers recover from unexpected situations, missing data or workflow changes by selecting alternative paths rather than stopping, with code-backed execution enabling self-healing. Actions span API calls, UI interactions, data entry, document generation and cross-system workflows. No multi-agent delegation between workers is documented.

Sourcemaisa.ai ai-computer, digital-workers and product pagesread 2026-08-31

Knowledge Grounding & RAG Partial

The vendor documents grounding execution in attached knowledge such as guidelines and documents, keeping reasoning tied to verifiable data and backed by code so outputs remain traceable, with the claim that every number ties back to a document.

The Knowledge Processing Unit's Virtual Context Window focuses the model on relevant data at each step to mitigate hallucination.

No index, ingestion pipeline, synced knowledge source, retrieval configuration or curated knowledge object independent of an individual worker appears on any of the pages cited, and the vendor publishes no product documentation site.

Sourcemaisa.ai digital-workers, ai-computer and product pagesread 2026-08-31

Human Oversight & Guardrails Partial

The vendor states Digital Workers operate within business workflows knowing when to seek approval, escalate issues or notify the right people, validate each step's output against rules defined at setup with pass or fail recorded in the Chain of Work, and flag discrepancies to be handled per policy; before deployment a worker runs in review mode so teams evaluate its decisions. The approval seeking is the worker's own judgment rather than a configured approval step before a class of action, and the rest are rule constraints, so Partial.

Sourcemaisa.ai digital-workers page and how-digital-workers-actually-work articleread 2026-09-29

Security, Identity & Governance Partial

The vendor states Digital Workers are built on the most advanced security protocols for regulated environments and that processing occurs inside the customer's secure perimeter, with private on-premises deployment available and Chain of Work providing regulator-ready auditability. No security certification, attestation, trust center, audit report, penetration test, single sign-on, role-based access control or data retention documentation appears on the vendor's home, product, digital-workers, ai-computer or insights pages, and no security or compliance page exists.

Sourcemaisa.ai digital-workers, product, ai-computer and home pagesread 2026-08-31

Observability & Auditability Full

The vendor documents Chain of Work as a transparent auditable record of every action a Digital Worker takes, showing the task, the tools and sources used, what was returned, and which validations passed or failed, with managers able to inspect any step of the process. The Knowledge Processing Unit is stated to turn each step into a code trace the customer owns, with code traces showing every step so fixes are fast and compliance simple. The vendor claims every number ties back to a document. The pages cited show no example trace, so the level of detail rests on the vendor's description.

Sourcemaisa.ai digital-workers, product and ai-computer pagesread 2026-08-31

Memory & State Persistence Partial

The vendor states Digital Workers learn directly from the workflow rather than through training cycles, that Maisa learns by actually working, and that Human-Augmented LLM Processing lets workers learn on the job through interaction with a person to clarify intent, improving over time. Chain of Work retains a durable record of each run, and workers persist as configured entities. No documentation describes what is retained between runs, where learned state is stored, whether it transfers across processes, or how a correction changes later behavior.

Sourcemaisa.ai digital-workers and product pages, vendor funding announcementread 2026-08-31

Deployment & Data Residency Full

The vendor states Maisa runs in a secure cloud or can be deployed privately on premises inside a customer's own infrastructure with the customer's own security controls, and that processing occurs inside the customer's secure perimeter so data does not leave their environment. Private deployment is presented as a standard option for regulated industries rather than a bespoke arrangement. No region selection within the managed cloud, and no statement of where the managed cloud is hosted, appears on any of the pages cited.

Sourcemaisa.ai digital-workers, product and home pagesread 2026-08-31

Prebuilt Agents, Templates & Packs Partial

The vendor markets prebuilt Digital Workers for industry processes and lists processes to bring, such as consumer loan origination, supplier onboarding, invoice reconciliation, withholding tax reconciliation, trade finance document review and insurance claims processing, but setup is documented as domain experts describing the process in natural language, attaching knowledge and connecting systems, with workers generating case-specific code at runtime rather than following pre-built paths. No catalog of ready workers to adopt is published, so the claim is Partial.

Sourcemaisa.ai digital-workers page and how-digital-workers-actually-work articleread 2026-09-29

Triggers & Channel Coverage Partial

The vendor documents Digital Workers triggered by incoming work items that route into processes, executing cross-system workflows end to end. No scheduled, recurring or cron execution appears on any of the pages cited, and no inbound webhook is documented. No messaging, email, chat or embedded channel through which a person invokes a worker is described; workers are built and operated within Maisa Studio. The vendor publishes no product documentation site, so this absence rests on marketing and insights pages.

Sourcemaisa.ai digital-workers, product and home pagesread 2026-08-31

Model Flexibility & Routing Full

The vendor's product page states customers can choose the right model for every job and switch anytime, avoiding vendor lock-in because the work lives in the customer's traces rather than the model, and frames this as breaking provider dependency and cutting costs.

The platform is described as model-agnostic, with the Knowledge Processing Unit turning any large language model into a deterministic executor so organizations can adopt stronger models over time without losing the reasoning engine's rigor. The KPU's Reasoning Engine is powered by a language model whose role is bounded by the surrounding computational framework.

Sourcemaisa.ai product and digital-workers pages, maisa.ai AI Computer pageread 2026-08-31

APIs, SDKs & MCP Extensibility Not documented

The vendor documents 300-plus integrations connecting Maisa outward to enterprise systems, and Digital Workers generating and running code within a secure environment as internal execution machinery; neither makes the platform callable from outside. No public application programming interface, software development kit, webhook endpoint, Model Context Protocol server or other documented route by which an external system could invoke a Digital Worker or the Knowledge Processing Unit appears on the vendor's product, digital-workers, AI Computer or home pages, and no developer documentation site was found.

Sourcemaisa.ai product, digital-workers, ai-computer and home pagesread 2026-08-31

Testing, Debugging & Optimization Partial

The vendor documents validating each step's output against rules defined at setup, recording validations pass or fail in the Chain of Work, and recalibrating or selecting alternative paths when a step fails or data is missing, with code-backed execution enabling self-healing towards the goal. No test-case harness the customer runs against their own workload, no scoring, no benchmark, no simulation and no comparison of one worker or version against another appears on any of the pages cited. The vendor publishes no product documentation site.

Sourcemaisa.ai digital-workers, product and ai-computer pagesread 2026-08-31

Browser & Computer Use Partial

The vendor lists UI interactions as a first-class action type for Digital Workers alongside API calls, data entry, document generation and cross-system workflows, and states workers interact with business applications as a skilled employee would, consistently and without supervision, connecting to any system from legacy infrastructure to modern apps.

The platform is positioned as agentic process automation, described as robotic process automation reimagined. None of the pages cited describes the mechanism: whether interaction is by browser automation, desktop control or screen understanding, how a worker is taught an interface, or how interface changes are handled.

Sourcemaisa.ai digital-workers, product and home pagesread 2026-08-31

The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Pricing

Contact for pricing

Agentic Index verified 2026-09-29

Alternatives to Maisa

The closest documented capability profiles to Maisa among agent builders tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

  • Imbue10.0 / 14Adds documented APIs, SDKs & MCP Extensibility
  • Joget11.0 / 14Adds documented APIs, SDKs & MCP Extensibility
  • StackBlitz Bolt10.0 / 14Adds documented APIs, SDKs & MCP Extensibility
  • SuperAGI12.0 / 14Adds documented APIs, SDKs & MCP Extensibility
  • Vellum11.0 / 14Adds documented APIs, SDKs & MCP Extensibility
  • Activepieces11.5 / 14Adds documented APIs, SDKs & MCP Extensibility

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

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