Giza is a Switzerland-based Web3 infrastructure startup founded in 2022, aiming to integrate machine learning (ML) into decentralized systems through trust-minimized architecture. Built on StarkNet’s ZK-rollup technology, Giza enables developers to deploy and run ML models directly on-chain, eliminating the need for centralized cloud infrastructure. The platform combines cryptographic security, scalability, and composability to bring AI-native applications into the blockchain ecosystem.
At the heart of Giza's stack is the ability to deploy ONNX-compatible ML models to the StarkNet network. These models can execute inference on-chain, ensuring high uptime, automatic scaling, and transparent operation. This marks a major shift from off-chain computation toward verifiable, blockchain-native intelligence.
Giza provides a command-line interface (CLI) that allows developers to package their models into “AI Actions.” These actions are verifiable units of computation that can interact directly with smart contracts. On top of this, Giza introduces “Agents”—modular, stateful automation layers that give models memory, monitoring, and reflective capabilities. Agents can respond to events, update their internal logic, and execute decisions autonomously on-chain.
The platform supports a wide range of ML frameworks such as TensorFlow, PyTorch, and Scikit-learn by using the ONNX standard. It enables applications across DeFi, gaming, DAOs, and oracles, where intelligent behavior and real-time decision-making are crucial.
Giza’s infrastructure is open-source and developer-friendly. The team has released essential tools like the CLI, agents framework, and the Orion runtime to foster community collaboration. The company also launched a native token, $GIZA, to reward early users, contributors, and developers building in the ecosystem.
Simplified ML Ops
Secure deployment of serverless on-chain models with no infrastructure maintenance.
On-chain Inference
Native on-chain inference enables trustless, verifiable, and transparent model usage.
Ownership & Monetization
Transferable ML models grant model owners rights to fees per usage.
Q2 2023
Q4 2024
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