Despite rapid advances in artificial intelligence, there is a growing shortage of high-quality, transparent, and verifiable data suitable for further training and refinement of AI models, particularly in scientific domains.

LEON curates a growing body of verified scientific content designed to address this gap by providing transparent, traceable, and quality-controlled data for AI training and fine-tuning. Access to such datasets can be offered under controlled and ethical conditions, tailored to institutional and enterprise use cases.

From a B2B perspective, this enables collaboration with organizations that require reliable scientific data for domain-specific model training, benchmarking, and the development of trustworthy AI applications, for example in health and medicine. Licensing approaches can range from thematic datasets to longer-term partnerships, while maintaining clear governance standards.

Looking ahead, LEON is designed with the intention to combine technical and legal mechanisms to protect publicly available content from unauthorized large-scale data extraction. Potential measures include crawler management, rate limiting, API-based access, and clearly defined terms of use and licensing conditions. This approach aims to preserve open access for human readers while enabling structured and licensed access for institutional AI training, forming a clearly defined B2B offering.

LEON partners with universities, research institutions, and governmental and non-governmental organizations to support science communication initiatives, thematic content areas, and educational outreach.

These partnerships are designed to strengthen the production and visibility of evidence-based content without influencing its substance. Sponsored support may be used to fund specific thematic focuses, educational formats, or community activities, while the creation, review, and evaluation of content remain fully independent.

LEON maintains a clear separation between financial support and editorial decision-making. Sponsors do not control content selection, framing, or conclusions. Content creators and reviewers operate under the same verification and community rules, regardless of sponsorship. What content is published, discussed, and amplified on the platform continues to be determined by contributors and user engagement, not by institutional partners.

This model allows institutions to support high-quality science communication and public outreach while preserving LEON’s role as a neutral platform grounded in transparency, scientific integrity, accountability, and community-driven relevance.

Visitors can optionally subscribe to an ad-free experience, supporting the platform and contributors. In addition to removing advertisements, subscriptions can provide access to enhanced features designed to improve the learning and engagement experience.

These may include optional AI-assisted tools, such as content summarization, knowledge mapping, advanced search and navigation, and personalized topic tracking. All such tools are intended to support understanding and discovery, not to replace or distort the underlying content.

LEON follows a clear principle in its subscription model: users are charged only for features that require additional computational, technical, or operational resources. Core access to scientific content, participation in discussions, and community engagement remain openly available. LEON does not take essential features hostage behind paywalls, but instead offers optional enhancements for users who choose to support the platform and benefit from additional capabilities.

Contributors can opt into premium memberships that provide access to advanced tools designed to support high-quality content creation and professional visibility. These may include AI-assisted features such as tools for drafting and refining content, enhanced analytics and feedback, AI-supported content creation and review assistants based on guidelines and checklists, referencing and citation, and options to improve discoverability both within the platform and across the internet. These features are intended to help contributors work more efficiently and present their expertise more effectively, while keeping humans fully in charge of content creation, verification, and editorial decisions.

LEON follows a clear principle in its contributor model: essential participation in content creation, review, and publication remains open and accessible. Contributors are not required to pay to publish or to be heard. Similar to visitor subscriptions, premium memberships apply only to features that require additional technical or computational resources, and LEON does not place core functionalities behind paywalls. This ensures that quality, evidence, and community trust, rather than payment, remain the primary drivers of visibility and impact on the platform.

LEON plans to organize events and workshops in both online and in-person formats, covering a wide range of topics related to science and research. These activities may include discussions on scientific findings, emerging research areas, methods, ethics, policy implications, and the societal role of science.

By leveraging LEON’s network of contributors and visitors, these formats are designed to bring people together around shared scientific interests and questions. Events and workshops provide spaces for dialogue, learning, and exchange, helping participants engage more deeply with scientific topics and with each other.

Through these activities, LEON aims to strengthen community interaction, support continuous learning, and encourage sustained, meaningful conversations beyond individual pieces of content.

LEON offers these events and workshops as paid services to support the sustainability of the platform, while aiming to keep participation affordable. Special consideration is given to students and vulnerable groups, with the goal of promoting inclusive access to education and learning.

LEON offers a dedicated job and collaboration space that connects verified experts with organizations and other professionals. The platform brings together a growing community of contributors and reviewers with expertise across a wide range of scientific and interdisciplinary fields.

Expert profiles on LEON go beyond traditional résumés. Alongside affiliations and professional background, profiles highlight members’ proof of knowledge and expertise through the verified content they have created or reviewed. This provides a transparent and practical view of an individual’s expertise, communication style, and areas of competence. This level of transparency enables more meaningful and trust-based matching between experts and opportunities.

From a business perspective, LEON can generate revenue by offering organizations paid access to advanced search and matching tools, featured job postings, and tailored recruitment or collaboration services. Individual experts may also opt into optional premium features that enhance profile visibility or support active networking, while core participation and discovery remain accessible. This approach allows LEON to facilitate professional connections while maintaining openness, fairness, and integrity within the ecosystem.