Periklis A. Papakonstantinou
Rutgers University
Associate Professor of Operations Research and Computer Science
Researcher in AI and cryptography
Anastasios Sidiropoulos
University of Illinois at Chicago
Associate Professor of Computer Science
Researcher in AI and algorithms
Grady was built by academics invested in education.
As university professors, Periklis and Tasos understand the realities of higher education today, with ever tightening budgets and time constraints for faculty, and growing distractions for students.
With expertise in AI and algorithms, data privacy, and information security, they built Grady as a tool to support faculty and reduce grading workload while delivering clear, actionable feedback on student work to promote better learning.
Guided by edtech veterans
Anant Agarwal
Chief Academic Officer at 2U
Founder and CEO of edX
Professor, MIT
Nina Huntemann
Senior Consultant, EDT & Partners
Former VP of Learning, edX
Former Professor, Suffolk University
Mark Haseltine
Product, AI & Engineering
Head of Product, Manifest
Former CEO, Teachable
Former CTO, edX
The Grady team has worked with faculty across disciplines to test, shape, and improve our grading engine
Academic Relations Advisory Board
Jaideep Vaidya
Vice Dean and Distinguished Professor
Rutgers University
Vice-President publications (2024), IEEE-CS
Yaw Mensah
Vice Dean and Professor
Rutgers University
Roman Holowinsky
Associate Professor
The Ohio State University
Founder, Erdos Institute
Co-Founder, STEAM Factory
Technical Discipline Advisory Board
Alexander Paulin
Associate Teaching Professor of Mathematics
UC Berkeley
Austin Smith
Lecturer of Creative Writing
Stanford University
Poet and Fiction Writer
Nakul Verma
Senior Teaching Faculty of Computer Science
Columbia University
Director of the Data Science Master program
Tim Carpenter
Senior Lecturer, Computer Science and Engineering
The Ohio State University
Veteran
Peggy Heffington
Professor of History
University of Chicago
Writer
Oscar Pineda-Catalan
Associate Senior Instructional Professor of Biological Sciences
University of Chicago
What we stand for
Accuracy Above All
We obsess over grading and feedback accuracy. In randomized controlled human trials, Grady was 50% more accurate than human graders 99% of the time.
Fairness by Design
Bias-free grading is not an afterthought. Our algorithms are continuously studied for transparency, bias, and fairness.
Privacy as a Right
Student data is sacred. We never train on submissions, never retain work beyond processing, and exceed every major compliance framework.
Transparency Always
Faculty maintain full control and visibility. Every grade can be reviewed, every piece of feedback can be modified, and every decision is explainable.
Learning-Centered
Grading is not just a score — it is feedback. We engineer every interaction to help students understand what they did well and how to improve.
Faculty-First
Built by people who understand the pressures of teaching. Zero setup friction, zero workflow changes. Grady adapts to you, not the other way around.
Ready to transform your grading?
Join the growing number of faculty who are saving time and delivering detailed feedback with Grady.