AI Computer

An AI Computer is a new computing paradigm, where AI acts as the core orchestrator. It manages tools, data, and tasks to deliver real outcomes, not just answers.

AI Computer

What is an AI Computer?

An AI Computer is a computational system designed around artificial intelligence as its central orchestrator. At its core lies an AI orchestrator or kernel, responsible for managing and coordinating all activities within the system.

Consider this analogy: traditional computers rely on kernels, like Windows or Linux, to manage hardware and software seamlessly. Similarly, the AI Computer uses an AI kernel to autonomously coordinate tools, modules, and real-time data sources, effectively handling tasks and workflows without continuous human oversight.

In essence, just as a computer kernel abstracts complex processes to make computing efficient and accessible, an AI Computer abstracts the complexity of AI-driven tasks, orchestrating various tools and processes to deliver outcomes aligned precisely with user objectives.

Why the AI Computer?

Today’s AI systems come with common frustrations: they can produce incorrect or entirely fabricated answers (known as hallucinations), struggle with maintaining adequate context, and often require complicated setups involving integrations, data flows, and prompt engineering. These issues can make AI unreliable and difficult to work with effectively.

The AI Computer addresses these problems head-on:

Reliability: Rather than generating standalone answers, the AI Computer orchestrates tasks between tools, processes, and calculations, using clear, code-based steps. This means any error can be traced and understood through a transparent log of actions, avoiding the “black box” uncertainty common in other AI systems.

Context Management: AI needs relevant context to produce accurate results, yet most AI models have strict limits on how much context they can handle at once. The AI Computer solves this by incorporating a dedicated memory module, intelligently selecting and providing only the necessary information at each step—much like how traditional computers use RAM and cache to efficiently manage data.

Simplified Complexity: Just as your computer’s operating system handles memory management, hardware interactions, and other complex tasks behind the scenes, the AI Computer abstracts away AI-related complexities. Users simply define their objectives, specify tools and information, and let the AI Computer manage the execution seamlessly.



Key capabilities

Real-Time Data Integration

Continuously pulls current data from APIs, web services, and databases, ensuring your business decisions are always based on the latest information

Limitless Context Management

Intelligently organizes and accesses memory, making sure the AI always uses the precise context needed at every step.

Transparent Reliability

Executes tasks through clear, step-by-step processes, leaving a detailed trail. This transparency prevents errors and removes uncertainty.

Autonomous Orchestration

Understands your goals, automatically choosing and coordinating the best tools, models, and processes to complete tasks effectively and independently.


AI Computer


Maisa KPU

The KPU is our AI Computer, built from our research to orchestrate tools, data, and workflows clearly and effectively based on user intent.

It serves as the technological foundation for Maisa Studio and our Digital Workers, enabling automation of complete business processes seamlessly and transparently.

At the heart of our mission is making AI accountable—ensuring every decision and step is clear, auditable, and reliable. By combining AI’s creative problem-solving capabilities with the transparency and reliability of traditional computing, the KPU delivers the clarity and control businesses truly need.


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