Designed to optimize models by reducing their complexity, without significant performance degradation.

The fastest available XGBoost implementation, completely open-source and with comprehensive benchmarks.

Agentic framework for streamlining ZKML to multi-chain behavior, transforming the scope and functionality of Web3 infrastructure.

Today we present Actions SDK, a Python-based toolkit designed to facilitate the integration of ML into web3 workflows.

From Dark Forest to Open Garden

A solution designed to integrate machine learning (ML) with blockchain technology seamlessly.

Giza has developed a complete framework designed to take asset allocation in DeFi to new heights.

Software development loves abstractions. Thanks to this, developers can implement complex algorithms and libraries without requiring domain specific expertise.

Verifiable Machine Learning can play a key role in both extending and enhancing functionalities of social graphs through the extrapolation of trust levels, anomaly detection, and integrity assurance.

In the last decade, Decentralized Finance (DeFi) has emerged as one of the most prominent use-cases of blockchains, in particular Ethereum.

Several Gizabrains were at the annual EthCC event last week; hacking, conspiring, presenting and attending talks.

Human conceptualization and institutionalization of Justice has always been predicated on devising mechanisms that could ensure and enforce neutrality.

A verifiable, extensible framework to superpower web3 & ML.