Allora is teaming up with Polyhedra to enhance machine learning (ML) verifiability through cutting-edge zero-knowledge machine learning (zkML) technology.

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Through this collaboration, workers on the Allora Network will be able to uniquely fingerprint their ML models with the hash stored on Polyhedra’s EXPchain. This allows models to be verified for authenticity and integrity without exposing their data or logic.

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Whether you’re a developer deploying ML models or an organization relying on AI-powered insights, this integration ensures that models remain secure, accountable, and tamper-proof.

The zkML Breakthrough

Traditionally, AI verification has required a trade-off between trust and privacy. To prove a model’s authenticity, developers often have to expose their data or training methodologies, which can introduce security risks and competitive disadvantages. zkML removes this trade-off.

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With zero-knowledge proofs (ZKPs), Allora workers can fingerprint their models, generate cryptographic proofs of authenticity, and store these proofs on EXPchain—all without revealing any underlying details. This allows AI applications built on Allora to verify models with certainty, without relying on blind trust.

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This is essential for ML developers looking to monetize and deploy their models while maintaining security, privacy, and accountability.

EXPchain: A Ledger for AI Integrity

Polyhedra’s EXPchain is designed for scalable, verifiable, and privacy-preserving AI applications. It enables Proof of Intelligence (PoI), zkML watermarking, and cross-chain AI interoperability—critical features for building AI systems that can be trusted in high-stakes environments.

Through this integration, Allora workers can easily verify the authenticity of their models, ensuring that ML models deployed on Allora are genuine, tamper-proof, and uniquely attributable to their creators. 

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For ML engineers, this means stronger security and greater confidence when deploying models in decentralized applications.

Smarter, Verifiable AI

Allora is transforming how AI intelligence is built, shared, and improved. Rather than a fragmented ecosystem where models operate in isolation, Allora creates a collaborative network where machine learning models compete, learn, and evolve together. This ensures applications always have access to the most accurate and up-to-date intelligence available.

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In the Allora Network, Workers contribute machine learning models that generate inferences, with the most accurate ones strengthening the network’s collective intelligence. Workers compete and collaborate within specific “topics”—sub-networks focused on solving defined objectives, such as predicting Bitcoin’s price in the next five minutes.

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By integrating zkML fingerprinting via Polyhedra’s EXPchain, Allora adds a crucial layer of verifiability and security to the AI models driving its decentralized intelligence. 

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This means AI that’s not only smarter—but provably trustworthy.

About Polyhedra

Polyhedra Network is a blockchain infrastructure that leverages zero-knowledge proof (ZKP) technology to enhance interoperability, scalability, and privacy across Web3. It enables secure, verifiable, and privacy-preserving AI applications through zkML, Proof of Intelligence (PoI), and cross-chain interoperability solutions. 

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Polyhedra’s EXPchain serves as a trust layer for AI, allowing cryptographic verification of machine learning models without exposing proprietary data.

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To learn more about Polyhedra, visit the website, X, and Developer Docs.

About the Allora Network

Allora is a self-improving decentralized AI network.

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Allora enables applications to leverage smarter, more secure AI through a self-improving network of ML models. By combining innovations in crowdsourced intelligence, reinforcement learning, and regret minimization, Allora unlocks a vast new design space of applications at the intersection of crypto and AI.

To learn more about Allora Network, visit the Allora website, X, Blog, Discord, Research Hub, and developer docs.