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RWA Attestations
Audit Hashes
Controller Snapshot
The Intelligence Layer of On-Robot Compute.
At NeuroMesh, we build privacy-first robotic intelligence. Each robot learns on-device, adapts in real time, and contributes to a shared global mind without sending raw data.
On-robot compute (cCOMP)
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Own your data (nDATA-R)
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Real-world assets
we believe in Distributed Intelligence empowering Robotics.
Our team pioneers the future of robotic intelligence with on-device learning, privacy-first architecture, and a decentralized Superbrain that evolves through verified experience.
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How It Works
NeuroMesh lets humanoid robots run their own AI on-device, so they can see, think, and act in real time without sending raw video to the cloud. It turns each robot’s compute and data into digital assets you control and can license, giving clear rights and rewards to owners. As more robots connect, their verified experiences link into a shared, decentralised “superbrain” that gets smarter and safer for everyone.
Sense
Generate μTokens (vision, audio, tactile, proprioception).
Think
Local policy selection (≤ 200–800 ms).
Act
Control with CBC safety; Proof-of-Action receipts.
Verify
PoI committees; optional zk.
Reward
cCOMP spend, iCTVs royalties, nDATA-R licensing.
Proof Engine
RWA Registry
Transparency
Solana Core
Backed By
AI Robots
NeuroMesh turns humanoid robots into on-device AI nodes that see, think, and act locally: fast, safe, and private.
Each robot’s compute and data become tokenized assets you can prove, control, and license without sharing raw footage.
As more robots connect, their verified experiences build a decentralized Superbrain that keeps learning and improving for everyone.
Solvency Constraint: Σ issuedᵣ·valᵣ ≤ Σ NAVᵣ·(1 − hᵣ)
Start for free
RWA Registry
Tokenising physical resources into schedulable on-chain primitives with verifiable attestations and robust solvency controls.
Live Transparency (Proof Vault)
Independently verify every claim. All data is linked on-chain or via IPFS.
Who We Work With
Working with leading institutions on compute scheduling, privacy-preserving learning, and verifiable analytics.
National Grid Operator
University Research Hospital
Fortune 500 Insurer
frequently asked questions!
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Q: What is NeuroMesh?
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Q: How does it work?
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Q: How do robots earn?
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Q: Why is data valuable?
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Q: How is safety ensured?
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Q: What tokens power the system?
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Q: Where can it be used?
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Q: Why does it matter?
