OriginTrail

**AidTrust**, developed with BSI and powered by OriginTrail, brings transparency to medical supply distribution for donated medicines. The system uses **Digital Product Passports (DPPs)** - machine-readable data attached to products that AI systems can verify and act upon. This ensures donated medicines reach intended patients rather than being diverted or lost in supply chains. The approach demonstrates practical applications of verifiable data in healthcare logistics, where tracking and authenticity matter for patient safety.

**Oxford PharmaGenesis demonstrates verifiable medical AI** Dr. Kim Wager showcased how agentic medical AI can maintain data provenance using OriginTrail's Decentralized Knowledge Graph. **The provenance problem:** - Pharmaceutical research has clear traceability: trial → publication → review → guideline - This chain breaks when knowledge enters AI models - Clinical decisions lose their verifiable source **The solution:** Oxford PharmaGenesis, trusted by 8 of the world's top 10 pharma companies, is building on the Decentralized Knowledge Graph to preserve provenance throughout the AI reasoning process. This approach ensures agentic science maintains scientific standards and verifiable sources.

**Umanitek Guardian** is leveraging **Origin Trail's Decentralized Knowledge Graph (DKG)** to address critical challenges in threat analysis. **The Problem:** - Scattered signals across platforms - Missing context - Unverifiable sources **The Solution:** DKG provides agents with shared, verifiable memory that enables: - **Source tracing**: Every signal can be traced back to its origin - **Persistent context**: Information stays attached across networks - **Connected analysis**: Threats assessed with full context This infrastructure allows Umanitek Guardian to analyze and trace threats in real time with verifiable data provenance.

**DKG v10 introduces a new architecture for AI systems** built on reliable memory, shared context, and verifiable knowledge. **How it works:** - AI agents process information privately - Results are compared within a shared knowledge graph - Conclusions surface on-chain only when consensus is reached **Real-world validation:** Five independent AI agents analyzing medical data from PubMed, ClinicalTrials.gov, and safety databases converged on identical findings without coordination. Each conclusion includes verifiable provenance stamps. **The shift:** Instead of isolated AI systems that rediscover the same information, DKG v10 creates cumulative knowledge where each agent builds on previous work. The Decentralized Knowledge Graph is now live as open-source infrastructure, designed as shared memory accessible to both humans and AI agents.

**Chris Rynning**, Chairman of Umanitek and Managing Partner at AMYP Ventures AG—part of the Pich-Porsche family office—discussed OriginTrail's critical role in providing infrastructure for the AI era. **Key Points:** - AMYP Ventures AG is connected to the prominent Pich-Porsche family office - OriginTrail is positioned as essential infrastructure for AI development - The endorsement comes from a major institutional investor with ties to the automotive industry The statement underscores growing institutional interest in decentralized infrastructure solutions that support AI applications, particularly from established European investment entities.

**Skyocean IT is implementing OriginTrail's decentralized knowledge graph to verify global trade records across institutions.** The system connects shipment data from multiple sources, making it harder to hide fraud or data mismatches. Instead of relying on isolated documents, records tied to the same shipment can be verified across different organizations. **Key applications include:** - Traceable donation shipments in Sudan - Verifiable delivery events for food and medicine - Cross-border supply chain coordination The approach shifts trust from individual documents to interconnected, verifiable records across the supply chain.

**OriginTrail and GS1 are upgrading traditional barcodes into Digital Links** that provide verified product information for consumers, supply chains, and AI systems. The integration enables: - **Trusted product knowledge** accessible through simple scans - **Verifiable data** on product origin, sustainability, and journey - **Supply chain visibility** from source to consumer Church of Oak demonstrates the technology in practice, connecting consumers to authenticated product information "from grain to glass." **Why it matters:** As AI agents increasingly work with product data, they need verifiable information rather than unconfirmed claims. OriginTrail's shared context graph ensures knowledge remains connected and trustworthy across systems, preventing data silos. The approach addresses a critical gap - AI is only as reliable as the context it can verify. By combining GS1 standards with OriginTrail's decentralized knowledge infrastructure, every product scan can unlock authenticated information instead of isolated data points. [Learn more about trusted AI for products](https://origintrail.io/blog/from-barcodes-to-digital-links-supercharging-trillions-of-products-for-the-next-50-years)

OriginTrail and OxPharmaGenesis are collaborating to advance trustworthy AI and Decentralized Science (DeSci). **Key developments:** - OriginTrail's Decentralized Knowledge Graph (DKG) serves as a retrieval and storage layer for scientific data - Partnership includes NVIDIA, University of Oxford, and Turing Institute through the ELSA Lighthouse initiative - The DKG enables secure genomic and scientific data sharing for AI-driven personalized healthcare **How it works:** AI agents access shared scientific memory through the DKG, extracting facts and updating knowledge as science evolves. BioAgents utilize this infrastructure, backed by BioProtocol. Messari's recent report highlighted OriginTrail as a key infrastructure layer unlocking global scientific data to power trusted AI breakthroughs in healthcare and beyond. This collaboration represents a practical application of blockchain technology in advancing scientific research and AI development.

OriginTrail has published a comprehensive walkthrough for setting up AI agents using their DKG Edge Node infrastructure. The tutorial, led by Lead Infrastructure Engineer NAbrashkin, demonstrates how to build agents with **verifiable memory** that can operate across different tools and systems. The 18-minute guide covers: - Initial setup and configuration overview - Obtaining and funding testnet keys - Integrating OpenAI API and RPC endpoints - Agent configuration steps - Launching a local user interface The DKG Edge Node enables developers to create what OriginTrail calls "neuro-symbolic AI agents" - systems that combine neural networks with symbolic reasoning while maintaining verifiable data provenance. This approach addresses a key challenge in AI development: ensuring that agent memory and context remain traceable and trustworthy across different platforms. The tutorial builds on infrastructure first introduced at DKGcon 2025, where the Edge Node was positioned as the foundation for decentralized AI development.

Europe is implementing a Decentralized Knowledge Graph (DKG) as the backend infrastructure for AI applications. The EU Commission-backed BUILDCHAIN project demonstrates this approach in the construction sector, using DKG to create a trusted and intelligent system. **Key developments:** - AI serves as the user-facing frontend - DKG provides the decentralized backend infrastructure - Focus on efficiency, transparency, and sustainability - Construction sector serves as initial implementation The approach combines artificial intelligence with decentralized data infrastructure, positioning Europe as an early adopter of this architectural model for AI systems.