Technology under Maxibook AKS

Discover the adaptive cloud-native architecture powering Maxibook, designed to transform knowledge into personalized learning experiences at scale

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Next-Generation AI Engine for Adaptive Knowledge

Harness the power of an AI-driven engine that transforms raw scientific content into adaptive knowledge. Maxibook AKS delivers a seamless ecosystem where knowledge is created, adapted, and measured.

The Foundations of
Adaptive Knowledge

Discover the core modules that transform knowledge into adaptive, measurable and accessible learning. Together they form the Maxibook ecosystem, bridging scientific research and real-world impact.

Shaping Knowledge into Spaces

Knowledge Management System

Where institutions and researchers curate, validate, and structure knowledge into adaptive maps.

Personalized Knowledge Delivery

Knowledge Reader

An AI-driven learning interface that delivers personalized content to each learner, in real time.

Real-time insights

Knowledge Intelligence

Advanced analytics to track knowledge acquisition, identify gaps, and support data-driven decisions.

Knowledge Management System

Creating Knowledge Spaces
for Scientific Contexts

Turning raw materials into private spaces with adaptive content

Knowledge Management System (KMS), is a powerful environment designed to transform raw scientific materials into structured and adaptive Knowledge Spaces.Each Knowledge Space represents a thematic context—such as biodiversity, genomics, or climate science—where concepts, relations, and materials are organized and versioned.
The KMS ensures that complex domains are captured, mapped, and continuously refined, providing a rigorous scientific backbone for adaptive learning.

From Material to Content

Knowledge Space Builder

AI engine transforms how knowledge is created, delivered, and optimized. At its core, three essential processes—Import, Generate, and Refactor—work together to ensure scientific content becomes adaptive, personalized, and continuously refined.

Raw materials are ingested into the Knowledge Management System (KMS): PDFs, articles, videos, datasets, or research outputs. The AI engine atomizes them into structured units, tags them with KITEMs (knowledge items), and organizes them into Knowledge Spaces. This ensures every concept is mapped, versioned, and ready to evolve into adaptive learning paths.

From structured content, Maxibook generates adaptive learning experiences in real time. Through the Knowledge Reader (KR), the AI engine tailors explanations, examples, and interactive steps to each learner’s profile—considering background, knowledge level, and cognitive preferences. Every learner sees a dynamic feed that adapts instantly to their progress and curiosity.

Knowledge is never static. With Knowledge Intelligence (KI), every interaction feeds back into the system. The AI refactors learning paths by analyzing what has been understood, where gaps remain, and how groups of learners evolve. Dashboards, analytics, and feedback loops ensure the knowledge base itself grows smarter, more relevant, and continuously optimized for future learners.

Knowledge Reader

Next Content. One Gesture Away.

The KR turns study into an interactive dialogue. Every exchange unlocks the Next Content, while a single gesture advances the journey. The result: learning that feels alive, adaptive, and always one step ahead.

Template-Driven Adaptation

Adaptive Journeys Built on Models

Learners are continuously aligned with adaptive templates that represent the optimal progression through a Knowledge Space. The AI compares each profile to these models, ensuring that every journey follows a proven, structured path while remaining fully personalized.

Knowledge Intelligence

Turning Data into Adaptive Learning

KI is a set of analytical dashboards based on Big Data, which verify knowledge and provide feedback to the AI to continuously evolve and adapt the content to be disseminated.

3x

Faster
Response

24/7

Support
Assistant

From Data

Learning Data Capture

Every interaction of the learner with the content (navigation, choices, time spent, deep dives, path deviations) is tracked in real time. This data feeds a continuous monitoring system based on semantic and behavioral logics.

To Knowledge

Analysis and Interpretation with Big Data

The collected data is aggregated, analyzed, and visualized through dynamic dashboards. The system identifies learning patterns, cognitive gaps, and recurring areas of interest, providing a clear and measurable representation of the acquired knowledge base.

To Adaptation

Adaptive Feedback Loop

The artificial intelligence receives the processed data and uses it to update content, propose new learning paths, and improve personalization. The continuous feedback loop allows the platform to evolve based on the real experience of its users.

To Growth

Contextual Progress Tracking

The system continuously analyzes the understanding and mastery of the KITEMs associated with each piece of content. The learner’s cognitive map is visually updated to represent progress within the thematic context, highlighting areas that are acquired, consolidated, or in need of reinforcement.

The future of learning starts here — are you in?

Be a Founding Partner or
Shape the Future as an Investor

Take part in building the next-generation adaptive knowledge platform. Whether you want to pilot Maxibook in your organization or explore investment opportunities, now is the time to get involved.