Inference Labs announces partnership with Lagrange, Combining DeepProve with real-world AI verification use-cases
Hamilton, Canada, March 13th, 2025,
Inference Labs has announced a strategic partnership with Lagrange to integrate DeepProve, Lagrange’s zkML Library, into the Inference ecosystem. This collaboration aims to enhance AI verification standards by enabling cryptographically verifiable AI model deployment on decentralized platforms.
DeepProve addresses critical challenges associated with AI’s “black-box” nature by allowing developers to cryptographically prove that their AI models operate as expected without revealing sensitive model parameters while veiling proprietary information. This capability plays a key role in ensuring that AI applications across sectors such as finance, healthcare, enterprise, gaming, and defense adhere to high standards of transparency and security.
Ron Chan, Co-Founder of Inference Labs, stated, “DeepProve, Lagrange’s zkML Library, represents a monumental step forward in AI verification. By setting a new standard for trustless security in decentralized AI systems, this partnership propels us towards a future where AI is not only powerful but hyperscales it with interoperability in decentralized environments.”
Advancing Technical Innovation through Partnership
The partnership capitalizes on Thiel-Backed Cryptography Startup Lagrange’s advanced zkML technology with Inference Labs’ decentralized AI technology to accelerate verifiable AI. The partnership introduces several innovative capabilities:
- Diverse Testing Scenarios The decentralized and open participation nature of Inference Labs Subnet 2 means that AI models can be exposed to a wide array of computational scenarios and data inputs from different nodes across many networks. This diversity in testing environments helps uncover edge cases, proof and model vulnerabilities that might not be evident in more controlled, homogeneous testing environments. It also aids in evaluating the model’s robustness and reliability across different situations and user demographics.
- Benchmarking Standardization: Subnet 2 provides a standardized framework for benchmarking AI models, and Proving Frameworks, which can be crucial for industry-wide comparisons and evaluations. Developers can use standardized metrics and performance benchmarks to gauge their models against existing solutions, facilitating a more transparent and competitive AI development landscape.
- Persistent proof storage on-chain through Inference Labs integration of AR.IO through their Permaweb solution.
- Interoperability of a Proving system-agnostic architecture: As AI models grow in size and complexity, proving systems need to keep pace not only to handle larger models efficiently but also to manage increased demands on computational resources.
- Collaborative Improvement and Community Engagement: Inference Labs’ Bittensor Subnet 2 benefits from the collective expertise of a global community of developers, researchers, and enthusiasts. This collaborative environment fosters innovation and rapid iteration, which are essential for developing, and benchmarking robust proving systems that can keep pace with the fast-evolving AI sector.
These features, in combination with DeepProve, can be applied across a broad spectrum of industries where the trustworthiness of AI is crucial.
Strategic Vision for Decentralized AI
DeepProve aligns with Inference Labs’ mission to democratize AI through self-sovereign systems that rely on cryptographic certainty rather than institutional trust. This strategic vision supports the convergence of AI and blockchain technologies, addressing significant ethical and security concerns raised by AI’s opaque nature.
“Our collaboration with Lagrange ensures that AI models can be verified in a manner that is both transparent and privacy-preserving, bridging the trust gap that has long hindered broader AI adoption,” added Chan.
Practical Benefits Across the AI Ecosystem
The partnership offers tangible benefits to various stakeholders in the AI ecosystem:
- For developers, it protects intellectual property while ensuring model security and compliance. Abstracting away the difficulties of interoperability, and the heavy lifting of cryptography.
- For users, it instills confidence that off-chain AI computation operated as expected, and without tampering.
- For the broader Web3 community, accessibility to billions, if not trillions, of decentralized AI models by eliminating counterparty risks.
About Inference Labs
Inference Labs is at the forefront of developing a comprehensive suite of verification protocols for Artificial Intelligence on Web3. Inference Labs is dedicated to providing universal access for AI verification to everyone to train, operate, and deploy their own self-sovereign AI.
About Lagrange
Lagrange is a leader in zero-knowledge technology and machine learning technologies, dedicated to expanding proving capabilities across multiple sectors with zkML and decentralized proving for rollups, apps, ZK coprocessors and interoperability. With DeepProve, Lagrange continues to push the boundaries of what is possible in AI verification.
By fostering an ecosystem of open-source proving systems, Inference Labs and Lagrange address the diverse and rapidly evolving landscape of AI. This strategic approach not only enhances the technical capabilities of AI applications but also supports ethical, legal, and societal norms, paving the way for responsible and trusted AI development across industries.
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