Oxford PharmaGenesis Partners with OriginTrail for Verifiable Medical AI

💊 Big Pharma's AI trust problem

By OriginTrail
Mar 30, 2026, 3:06 PM
twitter

Oxford PharmaGenesis, serving 8 of the world's top 10 pharmaceutical companies and over 50 global healthcare organizations, is collaborating with OriginTrail to build trusted medical knowledge infrastructure for AI systems.​

The partnership focuses on creating AI-ready medical knowledge with verifiable provenance.​ Dr.​ Kim Wager demonstrated how agentic medical AI can be grounded in data that can be independently verified, using OriginTrail's Decentralized Knowledge Graph (DKG).​

Key features:

  • Medical AI agents with transparent data sources
  • Cryptographically verifiable knowledge assets
  • Clear provenance trails for medical information

This collaboration addresses a critical need in healthcare AI: ensuring that autonomous systems operate on knowledge that can be traced, verified, and trusted.​ The approach aims to make medical AI more reliable by anchoring it in verifiable data rather than unverified sources.​

Read the full announcement

Sources
Replying to @origin_trail

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…

ClawTrail
ClawTrail
@ClawTrail

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.

Image
38
Reply

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!

CoinMarketCap
CoinMarketCap
@CoinMarketCap

LATEST: ⚡ Meta has acquired AI agent social network Moltbook, bringing its co-founders into its AI research division.

Image
Image
82
Reply

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 -

a16z
a16z
@a16z

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

Image
70
Reply

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

ClawTrail
ClawTrail
@ClawTrail

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.

Image
167
Reply

AI is the frontend. Decentralized Knowledge Graph (DKG) is the backend. The Europe is on trac(k) 🇪🇺

Žiga Drev
Žiga Drev
@DrevZiga

🇪🇺 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

Image
89
Reply

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. 🔍

World Economic Forum
World Economic Forum
@wef

#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

99
Reply

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 AI Doc
The AI Doc
@theaidocfilm

"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.

74
Reply

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

umanitek
umanitek
@umanitek

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.

85
Reply

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.

Ethereum Daily
Ethereum Daily
@ETH_Daily

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

Image
102
Reply

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
umanitek
@umanitek

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.

Image
69
Reply
Replying to @origin_trail

Discover how @origin_trail and @OxPharmaGenesis are advancing trustworthy AI and DeSci. ⤵️ x.com/origin_trail/s…

OriginTrail
OriginTrail
@origin_trail

💊@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

32
Reply

“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

a16z
a16z
@a16z

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

91
Reply

⚠️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!

Image
umanitek
umanitek
@umanitek

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

Image
Image
Image
Image
95
Reply

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. 🤝

EVOLVE RWA🔺️
EVOLVE RWA🔺️
@EVOLVEMilegreen

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

Image
83
Reply
Read more about OriginTrail

AidTrust Tracks Donated Medicines Using Blockchain Technology

**AidTrust**, developed with BSI Group and powered by OriginTrail, provides a system for tracking donated medicines from source to patient. **Key features:** - Transparency across the distribution chain - Traceability of critical treatments - Trust verification for humanitarian supply chains The platform addresses a fundamental challenge in humanitarian aid: ensuring donated medicines reach their intended recipients rather than being diverted or lost in transit. Learn more: [BSI Group's AidTrust solution](https://www.bsigroup.com/en-IL/healthcare/donated-medicines-and-vaccines/)

OriginTrail Powers Supply Chain Security for 40% of US Imports

**SCAN Association's Trusted Factory** uses OriginTrail to verify supplier security audits before goods reach US borders. **Key Impact:** - Enables major importers to verify supplier security audits at the source - Reduces supply chain risk earlier in the process - Covers supply chains representing over 40% of US imports The system helps protect American consumers by ensuring security standards are met before products enter the country, rather than catching issues after arrival.

AI Agents Unite: DKG Powers Coordinated Intelligence Swarms

AI Agents Unite: DKG Powers Coordinated Intelligence Swarms

**AI agents are evolving from isolated tools to coordinated intelligence networks** on OriginTrail's Decentralized Knowledge Graph (DKG). **Key transformation:** - Isolation → coordinated swarms - Duplicated work → compounding knowledge - Probabilistic outputs → verifiable decisions Agents like OpenClaw, NemoClaw, and Hermes now operate as nodes in a shared memory system, publishing and verifying each other's work in real time. Every finding becomes a cryptographically anchored Knowledge Asset—verifiable, permanent, and queryable across the network. **Performance gains with DKG v9:** - Up to 60% faster - Up to 40% cheaper than traditional markdown handoffs The focus shifts to V10 mainnet deployment, unlocking the infrastructure for fully traceable, lightning-efficient agent coordination. The bottleneck is no longer capability—it's shared, verifiable memory.

🕸️ AI Agents Need Shared, Verifiable Memory to Scale Beyond Silos

**The Challenge of AI Memory Silos** Most AI memory currently exists in isolated systems, creating a fundamental scaling problem for multi-agent systems. **Why Verifiable Memory Matters** - AI agents cannot scale effectively on isolated memory - Multi-agent systems require **shared, verifiable memory** that works across different tools, teams, and workflows - Before agents take action, the knowledge they rely on must be **traceable and checkable** **The Trust Factor** Scaling AI isn't just about computational power—it's about scaling trust. For AI agents to collaborate effectively, they need memory with clear provenance that can be verified across systems. Learn more about building verifiable memory systems for AI: [Brana Rakic's thread](https://x.com/BranaRakic/status/2032877330209595723?s=20)

otherDeFi