The Blockchain at Berkeley partnered with the Flare blockchain and Google’s Cloud hackathon from March 7 to 9, uniting student developers and researchers from institutions like UC Berkeley, the University of Waterloo, and ETH Zurich.
The main focus of this partnership is on exploring how blockchains can facilitate AI-driven computation while ensuring verifiability. All the participants have used Google Cloud Confidential Space to protect their privacy with hardware-enforced encryption and digital signatures.
According to the press release, the attestations, which are verifiable on the Flare blockchain, have assured that computations are carried out properly without outside interference. Flare, the Flare Time Series Oracle (FTSO), and the Flare Data Connector (FDC) have built-in data protocols to maintain data integrity and provenance for AI.
The hackathon attracted over 460 participants across four tracks, leading to the development of verifiable AI solutions in areas like AI x DeFi (DeFAI) and Consensus Learning. All projects used Confidential Space instances leveraging the AMD Secure Encrypted Virtualization (SEV) platform with virtual Trusted Platform Module (vTPM) attestations.
These attestations provided cryptographic proof that computations were executed within a secure and tamper-proof environment.
Rene Kolga, Product Manager at Google Cloud, said that, “We’re thrilled to see developers using our Confidential Space secure enclaves to build trusted AI solutions. Projects like 2DeFi and the launch of the Flare AI Kit are exciting steps toward a future where AI and blockchain work together to ensure data integrity and computational assurance.”
The two students, Alex and Hitarth, from the University of Waterloo, have created one of the standout projects, 2DeFi. The project won first place in the AI x DeFi (DeFAI) track and second place in the RAG Knowledge track.
2DeFi addressed the challenge of bridging traditional finance (TradFi) users into decentralized finance (DeFi) on Flare by utilizing Google Gemini AI. The project allows its users to upload screenshots of their Robinhood portfolios. It’s then analyzed by Google’s Gemini 2.0 to evaluate their risk tolerance.
To improve the user experience, 2DeFi added embedded wallets that let users create wallets on Flare using their Google accounts, which made the usually complicated Web3 onboarding process easier.
The hackathon also marked the official launch of the Flare AI Kit, which is an open-source tool designed for building verifiable AI agents on Flare with the help of Google Cloud Confidential Space.
The submissions from the hackathon describe the importance of the Flare AI Kit as a foundational framework for AI-powered blockchain applications.
This kit aims to make it easier to integrate AI while also ensuring safety and privacy, data provenance, and verifiability.
The Flare and Google Cloud Hackathon is the beginning. As developers and researchers continue to explore the intersection of AI and blockchain technology, the Flare AI Kit will be identified as a powerful and production-ready framework for verifiable AI applications.
The recent improvements to its performance, usability, and integrations aim to transform the Flare AI Kit into a powerful production-ready solution available in the Google Cloud Marketplace for enterprises and developers alike. The Flare AI attempts to redefine how verifiable AI applications are built, deployed, and trusted on a global scale, by intermixing Confidential Space TEE, AI, and the Flare blockchain.
However, a major challenge in the blockchain space is achieving rich data and complex computations while maintaining verifiability. While blockchains are optimized for deterministic execution and decentralized consensus, they do not natively support large-scale parallel processing, particularly for high-performance AI workloads.
This partnership will analyze how blockchains can enable AI-driven analysis while providing verifiability. This objective will be achieved by utilizing Trusted Execution Environments (TEEs) to safeguard privacy through hardware-enforced encryption and digital signatures.
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