NeuroWeb.AI

Knowledge is the new asset class. Mine it with 🧠

[NeuroWeb.AI @NeuroWebAI]

New Chapter, new website!

Where others isolate, we connect.
Where others compete, we collaborate. 🤝

To build a repository of human knowledge, humans must contribute to it.

[OriginTrail @origin_trail]

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 💬

[OriginTrail @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 events, research outputs, and decision traces into a shared, queryable context graph.

And this isn’t theoretical.

→ In Switzerland, powering rail safety with partners like Swiss Federal Railways - helping ensure trusted data flows in critical train infrastructure.
→ Supporting compliance covering over 40% of US imports, including work with Walmart - bringing transparency to global supply chains.
→ Contributing to reliable aerospace and manufacturing traceability across Europe.
→ Helping protect architectural and cultural heritage through trusted provenance of restoration materials.
→ Enabling delivery and verification of donated medical treatments in emerging markets - ensuring the right medicine reaches the right patient.
→ Harmonizing import/export data post-Brexit — supporting trusted cross-border trade frameworks.
→ Delivering “grain-to-glass” transparency in Irish whiskey supply chains.
→ Anchoring 200,000+ training certificates for global auditors - verifiable credentials at scale.
→ Powering DeSci initiatives for trusted medical records - bringing reproducibility and provenance to scientific knowledge.
→ Enabling humans to trust AI agents - by giving them verifiable memory and observable decision traces.
→ Tackling illicit content at internet scale through persistent, cryptographically verifiable evidence trails.
→ Protecting intellectual property in the age of generative AI - anchoring authorship and content provenance.

2 billion Knowledge Assets form more than a graph.
They form a collective memory infrastructure for humans and machines.

And this is just the beginning.

As agentic AI scales, every agent will need memory.

Every decision will need provenance.
Every interaction will need traceability.

The Decentralized Knowledge Graph is positioning itself as the verifiable memory backbone for trillions of AI-driven interactions.

Trust the source.

[OriginTrail @origin_trail]

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.

[OriginTrail @origin_trail]

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. 🧠

[OriginTrail @origin_trail]

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.

[OriginTrail @origin_trail]

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.

[OriginTrail @origin_trail]

🫵 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.

[OriginTrail @origin_trail]

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. 🔍

[OriginTrail @origin_trail]

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

[OriginTrail @origin_trail]

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. 🫡

[OriginTrail @origin_trail]

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. 🤝

[OriginTrail @origin_trail]

⚒️ How to build an AI agent with persistent memory?

Watch @Shawmakesmagic building an agent from scratch with @elizaOS & showing how external, queryable memory based on @origin_trail gives agents context and extends their memory beyond a single session.

02:15 – Set up your first agent
08:55 – Initializing runtime & memory foundations
12:50 – Wiring message handling & agent memory
24:45 – Persistent conversational memory in action
38:00 – Extending agents with plugins

[OriginTrail @origin_trail]

https://t.co/6WuIxgq0WY

[OriginTrail @origin_trail]

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.

[OriginTrail @origin_trail]

Recent rail incidents in Spain have once again highlighted a key challenge for rail operators: getting fast, reliable answers about assets, deployment, and maintenance.

🇨🇭 @RailService relies on @origin_trail & @gs1 standards to ensure verifiable asset provenance across interoperable systems, supporting passenger safety.

[OriginTrail @origin_trail]

“OriginTrail is wise to pay attention to connectivity and enhance connectivity because it's a very powerful and fruitful direction to go.”

– Dr. @RobertMMetcalfe, Ethernet inventor & Turing laureate

[OriginTrail @origin_trail]

At Davos, @umanitek made it clear: when trust fails, AI abuse becomes systemic.

Trust belongs at the infrastructure layer - verifiable, privacy-preserving, interoperable by design, powered by @origin_trail.

[OriginTrail @origin_trail]

At @wef Davos, the message from global leaders & AI experts is clear: the window to adapt to accelerating AI disruption is closing fast.

We need to make AI safeguards essential infrastructure, emphasized @ChrisRynning – highlighting @umanitek Guardian, powered by @origin_trail.

[OriginTrail @origin_trail]

From national platforms to European sports federations, trust is what enables AI to scale.

Luigi, an AI agent powered by the @origin_trail DKG, enables secure cross-border data coordination for European Gymnastics on the road to LA 2028. 🤸

[OriginTrail @origin_trail]

https://t.co/dEYhp78do8