How we think about building AI applications
We’re building AI systems that are understandable, auditable, and designed to work with you—not around you. In a world where AI is increasingly opaque and centralized, we believe powerful intelligence should be traceable, controllable, and locally deployable.
Our work focuses on creating modular AI workflows that users can inspect, customize, and trust, whether they’re running on a laptop, workstation, or private infrastructure.
Built by engineers at Michigan and Berkeley
A small team from Berkeley and Michigan focused on building transparent, local-first AI systems. Founded by Logan Sundaram, Saturday.ai grew from a desire to apply AI in domains where privacy, robustness, and accountability are critical.
Experience across systems design, agentic workflows, and applied machine learning, informed by academic research and real-world constraints.
Actively exploring how explicit structure and evaluation can make AI systems more reliable, understandable, and versatile over time.