November 12, 2025

At Embedded LLM (ELLM), our mission is to make artificial intelligence trustworthy, auditable, and operable within clear legal and societal boundaries. Today, we are pleased to announce a strategic partnership with the Lithuanian Innovation Center (LIC), Lithuania’s leading innovation development organization.

Together, we are working to accelerate the development, deployment, and standardization of privacy-preserving AI solutions that comply with the General Data Protection Regulation (GDPR) and align with the upcoming EU Artificial Intelligence Act.

This partnership reflects a shared belief: AI in Europe must be built as infrastructure — governed, transparent, and accountable by design.

A Shared Vision for Trustworthy and Sovereign AI

Europe is taking decisive steps toward a more sovereign and responsible AI ecosystem. Through this partnership, ELLM and LIC aim to help organizations deploy high-quality AI systems that operate under clear regulatory principles, rather than opaque platforms or uncertain legal frameworks.

Lithuania plays a key role in this vision. Together with LIC, we are positioning the country as a launching point for AI systems that meet GDPR and AI Act requirements, with the ambition of scaling these models and practices across the European Union.

Core Technologies Supporting the Partnership

This collaboration is grounded in two core ELLM technologies:

TokenVisor
A platform for creating, governing, and accounting for large language model (LLM) usage through privacy-preserving tokenization. TokenVisor enables transparent, auditable, and policy-driven AI consumption.

JamAI Base
An enterprise-grade AI database and infrastructure layer designed to support model deployment, orchestration, and lifecycle management in regulated environments.

Together, these platforms enable organizations to deploy AI systems that are efficient, compliant, and accountable, while respecting privacy, security, and governance requirements from day one.

Building a Regional AI Token Network

A central initiative within this partnership is the creation of a regional AI token network — an infrastructure concept in which participating countries operate interoperable and standardized AI token systems.

Using TokenVisor, AI workloads can be balanced across jurisdictions while maintaining transparent token governance and accounting. In this model, AI tokens function as a managed digital resource, comparable to energy flows within an electricity grid — measurable, auditable, and transferable across borders.

This approach lays the groundwork for a neutral and decentralized AI ecosystem, supporting secure data markets, distributed model execution, and user-friendly AI applications. It also encourages open standards and regional cooperation, both within the EU and beyond.

Joint Objectives: From Compliance to Standards

Through our partnership with LIC, we are pursuing three concrete objectives:

Preparation
Conduct comprehensive GDPR and AI Act compliance assessments of TokenVisor and JamAI Base, covering privacy protection, governance, transparency, traceability, and human oversight.

Implementation
Launch initial AI deployments with Lithuanian organizations, followed by expansion into other European markets.

Standards
Collaborate on legislative proposals and practical recommendations for EU institutions, contributing to the development of decentralized, GDPR-compliant AI standards across Europe.

Leadership Perspectives

“This partnership represents an important step toward building a trustworthy, privacy-first AI ecosystem for Europe,” said Ooi Ghee Leng, Founder and CEO of Embedded LLM.
“By combining our infrastructure technologies with LIC’s innovation leadership, we are laying the foundation for scalable, responsible enterprise AI across the European Union.”

“Our collaboration with Embedded LLM strengthens Lithuania’s position as a leader in responsible AI development,” said Dalius Raškinis, General Director of the Lithuanian Innovation Center.

“Together, we aim to help companies harness AI innovation while fully respecting European data protection and ethical standards.”