Maisa

What Maisa does

Maisa’s agentic process automation platform helps enterprises automate complex, decision-heavy processes that traditional automation can’t handle and GenAI can’t be trusted with. We enable organizations to scale operations, resist hallucinations, and bring end-to-end visibility and control to your most complex processes. Powered by a new kind of computing platform, Maisa combines AI-driven problem solving with programmatic execution, so every action is reliable, auditable, and built for enterprise scale. From compliance and finance to onboarding, legal intake, or issue resolution, Maisa’s Digital Workers are tailored to the unpredictable, exception-heavy work where decisions matter most. Easy to deploy and adaptable to your tools and data, they act with clarity, not guesses, delivering automation that earns trust from day one. Maisa is not an AI or an LLM, but a system for making them work better. It’s a new kind of automation tool for enterprises, data teams, builders, and tinkerers who are tired of chasing ghosts and trying to divine the meaning behind AI’s answers. A self-learning intelligence built on fact, not fiction. With Maisa, you can create accountable AI agents you can plug in to any part of your business. Define your desired outcome, set your goals, give them access to company knowledge and tools, and instruct them using natural language. Then, they approach problems by navigating all your knowledge, not just retrieving, and processing information with a clear, auditable logic that’s easily traceable. The core of Maisa is our Knowledge Processing Unit (KPU), which reasons and executes over multiple, flexible steps to reach your desired outcome. For each step, it takes action, leveraging tools or APIs as needed, and then computationally executing and deploying the results in production. With this much traceability, your time to production for new automations goes from weeks or months to days.

Products

• Digital WorkersHallucination-resistant digital employees for process automation, designed as specialized AI agents with a defined scope and measurable outcomes. They are built by business teams, deliver ROI, and can be pre-built or customized using natural language. They automate end-to-end processes, especially in regulated industries and for document-heavy, high-compliance workflows. They are adaptable to existing tools and data, act with clarity, and provide auditable, traceable, and secure automation.
• Maisa StudioThe agentic AI workspace enabling non-technical teams to create digital workers using natural language, with built-in governance, auditability, and regulator-ready from day one. It allows business owners to design, deploy, and adapt Digital Workers themselves without coding.
• Knowledge Processing Unit (KPU)Proprietary technology that turns any LLM into deterministic, auditable execution. It reasons and executes over multiple, flexible steps, taking action, leveraging tools or APIs, and computationally executing and deploying results in production. It provides traceability and hallucination-resistance.

Key capabilities

• Hallucination-resistant Digital Workers
• Proprietary KPU for deterministic, auditable execution
• Business users create digital workers with natural language
• Predictable pricing (like employees, not API calls)
• Easy ROI calculation
• Auditable and deterministic execution
• Large + Small Model Combo
• Built-in governance
• Regulator-ready from day one
• Traceable, auditable, and secure automation
• Self-improving capability for recurring issues
• Human Augmented LLM Processing for complex cases
• Role-based access
• Audit visibility
• Policy enforcement
• Security controls for sensitive data

Use cases

• Automating complex, decision-heavy processes
• Scaling operations
• Ensuring end-to-end visibility and control in complex processes
• Compliance automation
• Finance automation
• Onboarding automation
• Legal intake automation
• Issue resolution automation
• Trade Finance Process Automation
• Claims processing (Insurance)
• Policy management (Insurance)
• Customer verification (Insurance)
• Contract management (Energy & Infrastructure)
• Documentation (Energy & Infrastructure)
• Project oversight (Energy & Infrastructure)
• Supply chain operations optimization (Manufacturing)
• Quality control (Manufacturing)
• Compliance documentation (Manufacturing)
• Quality standards management (Automotive)
• Safety compliance (Automotive)
• Multi-tier supplier documentation (Automotive)
• Equity Research Automation (Wealth and Investment Management)
• Supply Chain Task Resolution Automation (Manufacturing)
• Automated Certification Generation for Electricity Network Maintenance (Engineering & Infrastructure)
• RFP Response Generation Automation (Corporate and Investment Banking)
• Subpoena Request Intake Automation (Corporate and Investment Banking)
• Fund Performance Reporting Automation (Corporate and Investment Banking)
• O2C & P2P Automation (Finance & Accounting)
• Adverse Media Screening Alerts Review Automation (Finance & Accounting)
• Correspondent Account Transaction Reconciliation Automation (Global Operations)
• Deceased Account Processing Automation (Global Operations)
• Tax Withholding Reconciliation Automation (Global Operations)
• Power of Attorney Automation (Legal and Compliance)
• Invoice intake, reconciliation, and reporting (Finance & Accounting)
• Eliminating manual bottlenecks in reconciliations, expense approvals, vendor payments, and close processes (Finance & Accounting)
• RFP intake and vendor evaluation (Legal, Compliance & Procurement)
• Contract review (Legal, Compliance & Procurement)
• Risk assessment (Legal, Compliance & Procurement)
• Audit readiness (Legal, Compliance & Procurement)
• Gathering requirements, assembling and distributing RFPs, analyzing vendor responses (Legal, Compliance & Procurement)
• Extracting and reviewing contract terms, flagging risks and exceptions (Legal, Compliance & Procurement)
• Ensuring documentation stays compliant (Legal, Compliance & Procurement)
• Employee onboarding (Human Resources)
• Policy administration (Human Resources)
• Offboarding (Human Resources)
• Managing documentation, ensuring policy compliance, triggering system updates (Human Resources)
• Customer services improvement (Consumer/Retail Banking)
• Automating account origination, KYC/AML, loan processing, card fulfillment, dispute handling (Consumer/Retail Banking)
• Support for trade finance, power of attorney, account servicing, clearing, fund reporting, equity research, regulatory checks (Institutional & Wealth)
• Automating shared services, supply chain, and global functions (Enterprise Operations)
• Intelligent document processing for loan applications

AI approach

Maisa's platform uses proprietary technology, including a Knowledge Processing Unit (KPU), to combine AI-driven problem solving with programmatic execution. It aims to provide hallucination-resistant, auditable, and deterministic automation for complex, decision-heavy processes. The system is designed to make LLMs work better by providing a 'chain of truth' rather than just a 'chain of thought', enabling reliable and intelligent automation.

Tech named: KPU, LLM, RAG systems, OCR, machine learning

Industries served

• Regulated industries
• Compliance
• Finance
• Insurance
• Energy & Infrastructure
• Manufacturing
• Automotive
• Wealth and Investment Management
• Corporate and Investment Banking
• Legal and Compliance
• Global Operations
• Human Resources
• Procurement
• Consumer/Retail Banking
• Banking & Financial Services

What it says sets it apart

• Hallucination-resistance through proprietary KPU
• Deterministic and auditable execution, regulator-ready from day one
• Business users can build and deploy Digital Workers using natural language, without coding
• Predictable pricing model (like employees, not API calls)
• Focus on complex, decision-heavy processes that traditional automation and GenAI struggle with
• Combines AI-driven problem solving with programmatic execution
• Provides end-to-end visibility and control
• Self-learning intelligence built on fact, not fiction
• Knowledge Processing Unit (KPU) reasons and executes over multiple, flexible steps
• Shows 'chain of truth' not just 'chain of thought'
• Rapid deployment: pilot in 3 weeks, production-ready in 6 weeks
• Strong security and governance with role-based access, audit visibility, and policy enforcement
• Human Augmented LLM Processing for seamless collaboration between humans and Digital Workers

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.