Artificial intelligence has emerged as a vital tool in education and workplace training, as organizations look for innovative ways to develop, distribute, and manage their e-learning material. Artificial intelligence goes beyond the implementation of simple chatbots and automatic grading tools. Artificial intelligence includes content development, personalized learning, learner analysis, and software that helps instructors or trainers create courses more easily. According to Grand View Research, the global AI in education market reached around USD 8.3 billion in 2025 and will exceed USD 57 billion by 2033. The report highlights the emergence of learning platforms, virtual facilitators, and cloud deployment as the major domains of development.
Within this changing landscape, educational technology companies have begun developing platforms that combine several learning functions into a single environment. Rather than relying on separate applications for authoring, deployment, learner management, and reporting, many organizations now seek integrated systems that simplify digital learning workflows. Mexty is one example of this trend. Founded in 2024 by Hubert Maupas and Fabien Sabatié, with computer scientist Soumya Banerjee serving as a board advisor, the French company develops a cloud-based Software-as-a-Service platform for digital learning. Its work centers on combining AI-assisted content creation with course delivery, learner tracking, and analytics inside one software ecosystem.
One of the ideas associated with the platform is what Mexty describes as “vibe-coding for learning.” The company uses this term to describe creating educational content through natural language rather than traditional software development methods. Instead of manually building every activity or interface, users describe the learning experience they want to create, and the platform generates interactive educational assets that remain editable after creation. This approach reflects broader developments in generative artificial intelligence, where natural language has increasingly become an interface for producing text, images, software, and educational resources. Mexty’s terminology is specific to its own platform, but the underlying concept follows wider changes in AI-assisted content production.
According to the company, the platform’s content engine can generate a range of interactive learning materials from written instructions. These include branching scenarios, case studies, conversational exercises, automated quizzes, digital flashcards, scenario-based assessments, and user interface components. Rather than treating content creation as a series of separate technical tasks, the software combines multiple stages of development into one workflow. Users can also modify generated content manually, allowing instructional designers and subject specialists to refine materials before publication. This combination of automated generation and human review reflects an approach that continues to appear across many AI-supported authoring tools.
Automation also affects the amount of manual work involved in course development. Traditional digital authoring often requires different applications for designing activities, building interfaces, publishing content, and monitoring learner progress. Mexty was developed to reduce that fragmentation by bringing these functions together within one platform. Its text-to-code capability converts natural language descriptions into functional interface modules that users can edit after generation. The company presents this feature as part of its wider effort to reduce repetitive authoring tasks while preserving user control over the finished learning experience. The objective is not to remove human involvement but to simplify stages of the development process that previously required separate software or technical expertise.
Artificial intelligence also plays a role after content has been created. Mexty includes AI tutoring functions and adaptive learning workflows that support personalized learning experiences. Adaptive systems have received increasing attention within educational technology because they allow learning activities to respond to user progress rather than following a fixed sequence. The platform also includes learner analytics that allow institutions and corporate training departments to monitor participation and learning outcomes. Such analytical tools have become increasingly common as organizations seek measurable information about training programs. Industry research has identified analytics and personalized learning as two areas receiving continued investment as AI becomes more closely integrated into education technology.
The platform extends beyond content creation through its Learning Management System capabilities, which were introduced with Version 3. These additions allow organizations to host, deliver, and manage learning activities within the same environment used to create educational materials. The software also supports SCORM, a widely adopted technical standard that enables digital learning content to be transferred between compatible systems. SCORM compatibility allows organizations to export courses for use in existing learning environments or integrate them with enterprise software already in operation. These capabilities reflect the continuing importance of interoperability, particularly for institutions and businesses that operate across multiple digital learning platforms.
Another element described by the company is its Source of Truth AI governance framework, which is intended for education and enterprise learning environments. With governments and organizations working to formulate guidance in artificial intelligence, topics like transparency, governance, and responsibility have gained prominence. In the EU, the AI Act was put into place in 2024 to regulate the use of artificial intelligence according to risk levels. In addition, organizations have come to take into account the frameworks of information security and privacy while considering digital learning technologies. Mexty identifies governance as part of its platform architecture alongside authoring, analytics, and learning management.
The wider education technology sector continues to change as artificial intelligence becomes more closely connected with teaching, training, and professional development. Various organizations have employed various strategies because of the differences in needs among educational institutions and enterprise learning scenarios. Since its founding in 2024, Mexty has positioned itself by building a platform on the foundation of AI-assisted course creation, interactive learning, automation, and learning management integration. The founders of Mexty include Hubert Maupas and Fabien Sabatié, with Soumya Banerjee working as an advisory board member for the organization. Mexty is an example of one of the many software developers using AI to facilitate the creation of digital courses.
