OriginTrail Powers Privacy-Preserving Genomic AI for Personalized Healthcare
OriginTrail Powers Privacy-Preserving Genomic AI for Personalized Healthcare
🧬 When genomic data meets...
OriginTrail supports EU-funded healthcare AI initiative
OriginTrail's Decentralized Knowledge Graph (DKG) is powering privacy-preserving genomic AI under the ELSA Lighthouse initiative, an EU-funded project focused on ethical AI in personalized healthcare.
Key developments:
- Built secure, scalable genomic data infrastructure that enables AI to work with trusted context rather than isolated data
- Demonstrated how genomic AI can maintain privacy while remaining verifiable and trustworthy
- Part of broader collaboration including NVIDIA, University of Oxford, and Turing Institute
This builds on OriginTrail's expanding healthcare work, including recent partnerships with Oxford PharmaGenesis (trusted by 8 of the world's top 10 pharmaceutical companies) to create AI-ready medical knowledge with verifiable provenance.
The DKG provides the foundation for trusted medical AI by ensuring data sources can be verified and traced back to their origin - critical for healthcare applications where accuracy and accountability matter.
With @ClawTrail, AI agents get their verifiable TRACk record. Agents can now prove what they've done, and how well. Powered by Decentralized Knowledge Graph (DKG). x.com/ClawTrail/stat…
Introducing clawtrail.ai — The World's First Fully Verifiable Neuro-Symbolic Agent Registry and "LinkedIn for AI". Agents can register, gain verifiable passports, and build rich identity profiles all anchored on the @origin_trail Decentralized Knowledge Graph.
Meta acquired @moltbook, folding its AI agent founders into research. Centralized giants are tightening their grip. @origin_trail took the opposite path: community-owned network powering agents with verifiable context. No sell-outs. @ClawTrail is leading the charge here!
LATEST: ⚡ Meta has acquired AI agent social network Moltbook, bringing its co-founders into its AI research division.
🫵 Your face. Your identity. Protected. With @umanitek Guardian, powered by @origin_trail, internet safety begins with verifiable provenance – helping prevent deepfakes, identity abuse, and AI-driven manipulation at the infrastructure level.
How can medical AI agents become more trustworthy? 🔍 Hear from Dr. Kim Wager of @OxPharmaGenesis as he showcases a live demo of agentic medical AI grounded in verifiable data provenance, powered by the @origin_trail Decentralized Knowledge Graph (DKG).
“Wherever an AI agent's memory comes from, it needs the reputation of a source.” — @BranaRakic, CTO & co-founder of @origin_trail, on why verifiable provenance is foundational to autonomous AI.
Explore how @origin_trail supported privacy-preserving genomic AI under @elsa_lighthouse, helping make personalized healthcare data more usable and trustworthy ⤵️ origintrail.io/blog/origintra…
AI agents shouldn't trust everything they scrape. They should verify data provenance before they act. Start here ↓ docs.origintrail.io/?utm_source=x&…
Give your agent context that works across tools and stays verifiable. 🕸️ With the DKG Edge Node, you can set up an @origin_trail powered agent with verifiable memory and use it across tools and systems. @NAbrashkin walks you through the setup to a working demo. 01:56 Setup
How can we make medical AI agents more trustworthy? Dr. Kim Wager of @OxPharmaGenesis showed a medical AI agent that clearly displays where its data comes from and explains why it can be trusted - powered by @origin_trail. 🧠
2 BILLION Knowledge Assets 🎉 Published on the @origin_trail Decentralized Knowledge Graph. This isn’t just growth. It’s the rise of a verifiable memory layer for AI agents at a global scale. Every Knowledge Asset anchors facts, compliance records, certificates, supply chain
If agents are going to act on your behalf, their memory must be verifiable. 🫡 Build on trusted knowledge from day one. ⤵️ docs.origintrail.io
Owning the context layer is one thing. Making it trustworthy for agents is another. That’s where @origin_trail Decentralized Knowledge Graph (DKG) comes in. 🕸️ With provenance, verifiability, and privacy built in, DKG enables a shared, verifiable memory layer for AI agents -
Frontier models are exceptionally efficient, intelligent, and useful. For agents, context is now the bottleneck. Enter the context layer, which bridges the gap from an enterprise's messy data to actionable context, packaged for agents. We're seeing three distinct verticals
The agentic era has a trust problem. AI agents are already managing wallets, executing trades, and interacting on your behalf - with zero accountability infrastructure. @ClawTrail changes that. Built on OriginTrail's Decentralized Knowledge Graph (DKG), it brings: → A
Introducing clawtrail.ai — The World's First Fully Verifiable Neuro-Symbolic Agent Registry and "LinkedIn for AI". Agents can register, gain verifiable passports, and build rich identity profiles all anchored on the @origin_trail Decentralized Knowledge Graph.
AI is the frontend. Decentralized Knowledge Graph (DKG) is the backend. The Europe is on trac(k) 🇪🇺
🇪🇺 Europe chose the DKG again! Knowledge Asset after Knowledge Asset, @origin_trail is putting European AI on trac(k). What started as enterprise-grade enterprise solution, has evolved into something much bigger: A go-to trust layer for European AI infrastructure projects. As
Can AI agents rely on a world model without guessing? 🔐 Hear from @BranaRakic, co-founder & CTO of @origin_trail, on building a decentralized, privacy-preserving knowledge base for trusted agents.
AI agents can’t operate on blind trust. They need verifiable identity, data provenance, and clear accountability. That’s the trust gap @wef is pointing to, and where @origin_trail delivers a trusted knowledge foundation agents can independently verify before they act. 🔍
#AI agents could be worth $50 billion by 2030 – but for this to happen, they must be underpinned by firm trust safeguards. Here's how to build them: weforum.org/stories/2026/0… #wef26
Who is protecting you in the age of AI? 🛡️ @theaidocfilm, co-created by Umanitek co-founder @aza, explores the bold promises & risks of our AI future. As AI adoption accelerates, effective safeguards are needed - powered by @umanitek & @origin_trail.
"The most urgent film of our time." THE AI DOC: OR HOW I BECAME AN APOCALOPTIMIST is only in theaters March 27. Watch the trailer now.
When people can’t verify what they’re seeing, AI puts the most vulnerable at risk. @TriniZone of @TracVerse explains why verifiability matters. 📣
Start building AI agents on verifiable knowledge, designed for trust from day one. ⤵️ docs.origintrail.io
In the age of AI, your identity can be deepfaked. How do you protect it online? @umanitek Guardian Agent uses @origin_trail to help you restore integrity and take back control from AI misuse. Discover more with @ChrisRynning & @TomazOT. FEB 12 | 17:00 CET
AI is blurring the line between real & fake identity online. Join @ChrisRynning & @TomazOT as they demo the @umanitek Guardian – a privacy-preserving early warning system that monitors content, flags AI-driven threats, and helps act before harm spreads.
How do we make AI verifiable? Former @awscloud Graph Architect, Charles Ivie, on how @origin_trail standardizes data origin for trusted AI systems. 🗂️
OriginTrail puts ERC-8004-compatible AI agents on trac(k) 🫡 The Decentralized Knowledge Graph acts as a verifiable context graph for agents – anchoring what they know, where it came from, how they use it, and how it evolves over time.
ERC-8004 is on the cusp of launching on the Ethereum mainnet, representing a game-changing advancement in positioning Ethereum as the bedrock for trustless AI agents. Explore this handpicked selection of AI agent projects worth monitoring. Bookmark or RT this for easy access
Power your scientific AI with a verifiable knowledge infrastructure, powered by @origin_trail. docs.origintrail.io/?utm_source=x&…
Building AI agents starts with a memory you can verify. The @origin_trail Decentralized Knowledge Graph (DKG) gives agents a verifiable memory layer built on structured knowledge you can trace back to its source. @BranaRakic explains 💬
💊 The next generation of medicine will be built with AI. Dr. Kim Wager of @OxPharmaGenesis on why trusted, verifiable data is the foundation for safe and reliable medical AI agents.
AI protection fails without the right context. 🛡️ @origin_trail organizes content into a shared context graph, enabling @umanitek Guardian to accurately detect fake accounts, scams & deepfakes.
Umanitek’s edge lies in its structured context, enabling AI to understand relationships, provenance, and intent — building intelligence around users and tracking it across platforms to ensure stronger online protection.
Discover how @origin_trail and @OxPharmaGenesis are advancing trustworthy AI and DeSci. ⤵️ x.com/origin_trail/s…
💊@OxPharmaGenesis, trusted by 8 of the world’s top 10 pharma leaders and 50+ global healthcare organizations, is joining forces with @origin_trail to advance trustworthy AI and pioneer DeSci! Together, we’re building collaborative, AI-ready clinical knowledge ecosystems to fuel
💊 Trusted medical AI starts with knowledge you can verify. In a live demo, Dr. Kim Wager of @OxPharmaGenesis showed how agentic medical AI can be grounded in verifiable provenance, powered by @origin_trail.
“There needs to be not just a ledger of money, but probably a ledger of truth for AI to really fulfill its potential.” — Ben Horowitz AI can’t scale on black-box data. It needs verifiable knowledge, provenance, and context. That’s what the OriginTrail Decentralized Knowledge
Ben Horowitz on the infrastructure behind the AI economy: "Crypto is the natural money for AI because it’s internet-native money." "AI is global. Crypto is global." "There needs to be not just a ledger of money, but probably a ledger of truth for AI to really fulfill its
Speaking at @EVOLVEMilegreen during @consensus_hk, OriginTrail’s @DrevZiga explored why verifiable knowledge is foundational for the next era of AI. As AI agents gain autonomy, trust comes from one place: knowledge that is provable, ownable, and verifiable by design. 🫡
How does @origin_trail make AI more reliable & verifiable? @TriniZone of @ClawTrail breaks down how blockchain & knowledge graphs help solve AI’s trust problem ⤵️
🆕Imagine hundreds of agents working in parallel, handing off to one another and building on each other's work. Every finding becomes a cryptographically anchored Knowledge Asset: verifiable, permanent, owned by the publisher, and queryable by any agent on the network. Enter
x.com/i/article/1892…
⚠️When chaos hits, attackers move first - and AI enables new scams. @Umanitek’s Guardian Agent uses the Decentralized Knowledge Graph (DKG) to capture verifiable forensic traces of abuse in real time. Real-time digital forensics: a collective immune system!
GCC airspace broke down. Fake airline support accounts were in the replies within hours. We flagged 200+ impersonators across @emirates , @etihad , @qatarairways, @GulfAir - targeting passengers at their most vulnerable. AI made this effortless to run at scale - and it's only
“If AI agents are going to act on our behalf, they need trusted memory: verifiable data, global identifiers, and clear provenance.” @JureSkornik on @origin_trail & @gs1 enabling AI agents to reason over trusted knowledge, not guesswork. 🤝 01:25 The shift from attention to
Genomic AI is only useful when it can work with trusted context, not just isolated data. 🧬 Under the EU-funded @elsa_lighthouse initiative, @origin_trail helped power a secure, scalable genomic data infrastructure for privacy-preserving AI in personalized healthcare. See
AI agents are becoming an integral part of DeSci — but for science to thrive, they need trusted, verifiable memory. 🧪 @origin_trail provides privacy-preserving, provenance-aware infrastructure that anchors scientific AI in real-world, verifiable data.
AI agents can now act on our behalf – even transact. @DrevZiga joins the @EVOLVEMilegreen conversation to explain why verifiability, provenance, and privacy are required for agentic systems to be trusted at scale. 🤝
We can't be more thrilled to invite @DrevZiga, Founder and Managing Director @TraceLabsHQ, core developers of @origin_trail, as a speaker at "EVOLVE·space @ Consensus HK 2026 | From Legacy to Liquid"! Iykyk. Stay tuned for coverage and insights from the room.👀 📅 Feb 9 | Hong
Build AI agents with verifiable memory. Free course at @origin_trail Academy ↓ academy.origintrail.io/course/trusted…
Discover how @OxPharmaGenesis, trusted by 8 of the world’s top 10 pharmaceutical companies and 50+ global healthcare organizations, and @origin_trail are building trusted medical knowledge for AI. 📚 origintrail.io/blog/oxford-ph…
OriginTrail and Cursor AI Demo Trusted AI Workflows at Ljubljana Meetup
**OriginTrail and Cursor AI Integration Showcased** Brana Rakic demonstrated how OriginTrail and Cursor AI work together at a meetup in Ljubljana on May 28th, 2026. **Key Features Presented:** - Teams can build AI workflows with shared, trusted context - Coordination across multiple projects and devices - Enhanced trust and verification in AI operations The presentation focused on practical applications for teams looking to implement verifiable AI workflows in their development processes.
OriginTrail DKG v10 Cuts Token Usage by 70% Through Context Graphs
**OriginTrail's DKG v10 introduces Context Graphs that reduce token consumption by 70% per task for coding agents.** The system uses agent traces as persistent memory, allowing context to compound across sessions and enable multi-agent collaboration. This addresses AI's primary bottleneck: context management rather than model capabilities. **Key features:** - Provenance-backed Context Graphs for agent collaboration - Persistent memory through agent trace storage - Significant reduction in computational overhead OriginTrail has launched a 150,000 $TRAC bounty program for developers building on the platform.
Porsche Family Office Partner Highlights OriginTrail's AI Infrastructure Role
**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 Uses OriginTrail to Verify Cross-Border Shipments and Combat Trade Fraud
**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.
GS1 Digital Link and OriginTrail Transform Product Barcodes into Verifiable Knowledge Networks
**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)