In this episode, we spoke with Raphael Ducasse, lead engineer at Giza, about building LuminAIR—a verifiable machine learning library—and how it powers autonomous DeFi agents through ZKML. Main topics we discussed:

- The shift from Cairo-based tooling to building LuminAIR on Luminol, a minimal Rust-based ML library

- How LuminAIR optimize models for ZK proving

- Giza’s core thesis, roadmap, why they launched a token and institutional adoption

- Verifiable recommender systems and other ZKML use cases

- Giza protocol’s role in decentralizing agent execution with Eigenlayer AVS

- How ARMA, Giza’s flagship agent, reallocates funds across lending protocols while maintaining custody

Links

Giza's Website: https://www.gizatech.xyz/

Giza's Twitter/X: https://x.com/gizatechxyz

LuminAIR: https://github.com/gizatechxyz/LuminAIR

YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@ingo_zk⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

GitHub: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://github.com/ingonyama-zk⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/ingonyama⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Join us: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.ingonyama.com/career⁠⁠⁠⁠⁠⁠

# 36 | Giza Tech: verifiable ML and Agents