About Datum Foundry
The Datum Foundry is a research-oriented site focused on governance-first system design, lawful experimentation, and accountable machine decision-making. Our content emphasizes discipline, verification, and institutional-grade thinking rather than marketing, predictions, or performance claims. We aim to document ideas, frameworks, and research in a way that can be scrutinized and referenced over time, with a focus on research assets only. The tone is precise, calm, and analytical.
At Datum Foundry, we are committed to publishing essays, notes, and technical explanations about how complex automated systems can declare intent, verify truth and determinism, and preserve inspectable evidence over time. Our focus is on research assets only, with the aim of documenting ideas and frameworks that can be scrutinized and referenced over time.
Our Team
Meet the dedicated individuals who drive our research forward. Each member of our team brings a unique perspective and skill set to our work, contributing to our mission of advancing governance-first system design and accountable machine decision-making.
Iris Grossman
Lab Director
Iris Grossman is the visionary leader of Datum Foundry, overseeing the strategic direction and research initiatives of our lab.
Benjamin Lei
Senior Researcher
Benjamin Lei brings extensive experience and expertise to our research endeavors, playing a key role in driving our projects forward.
Georgia Irving
Researcher
Georgia Irving contributes her analytical skills and dedication to the exploration of complex automated systems and their governance-first design.
Jia Galloway
Researcher
Jia Galloway is instrumental in our research efforts, bringing a keen insight into the verification and determinism of automated systems.
Louis Bisset
Research Assistant
Louis Bisset provides invaluable support to our research team, contributing to the preservation of inspectable evidence in complex automated systems.
Kaamla Murad
Research Assistant
Kaamla Murad is dedicated to advancing our research goals, assisting in the documentation and scrutiny of ideas and frameworks in automated systems.