Grady is the first solution to remove the human grader from the loop, providing consistent, objective, and impartial evaluations at scale. Devised and developed by university professors and backed by rigorous human trials, Grady delivers academic-superhuman accuracy while freeing faculty for higher-value teaching and research.
Grady offers a fully automated grading process for higher education that is in the process of been rigorously validated in pilot programs across multiple university programs and disciplines. By eliminating traditional manual grading responsibilities, institutions across the U.S. can reallocate billions of dollars (estimated 4B+ dollars annually) worth of faculty and teaching assistant time annually toward research, instruction, and student mentorship.
Unlike partial AI solutions that merely assist human graders, Grady conducts end-to-end grading with no human oversight required under normal operation. At the same time, it retains a systematic failsafe: instructors can override any disputed decision if necessary. This balance—complete automation with rigorous academic control—differentiates Grady positioning it as the authoritative solution for modern universities and colleges.
Grady’s Quality Grading Process (QGP) is guided by a multi-step workflow that ensures transparency, accountability, and superhuman grading accuracy demonstrated with statistical confidence 99.9% in the human trials of the prototype system.
1
Instructors upload or sync tests and assignments through the institution’s Learning Management System (e.g., Canvas, Blackboard). Grady operates quietly in the background in an end-to-end, fully automated rubric extraction based on proprietary machine learning tools. If desired, rubrics can be configured or adjusted by faculty for maximum alignment with course objectives.
2
Set your grading rubric, learning objectives, and assessment parameters tailored to your curriculum.
3
Our advanced AI analyzes content, structure, accuracy, and creativity using research-validated algorithms.
4
Receive comprehensive grades with detailed feedback, improvement suggestions, and performance analytics.
Each core feature is designed to address the operational and pedagogical needs of universities.
Eliminates manual grading entirely, enabling institutions to save significant budget previously allocated to TA hours.
Validated by extensive trials, ensuring consistent, objective, and impartial assessments across all student work.
Provides rubric-based comments and suggestions that help students understand their performance and improve learning outcomes.
Syncs seamlessly with major LMS platforms (Canvas, Blackboard) and ensures compliance with FERPA and institutional data policies.
AI-driven grading eliminates human bias, while the remark request process and instructor overrides guarantee academic integrity.
Designed for large courses and cross-department use, Grady can handle thousands of submissions with negligible latency.
Grady is the culmination of years of rigorous academic research and pilot human trials. Our development team comprises university professors with extensive experience in both AI and academic education in a multitude of settings across the globe. Early pilot programs have demonstrated that Grady reduces grading time by 100% for normal workflows, surpasses human graders in consistency, and empowers students with fast feedback that can accelerate mastery of course material.
In controlled trials, Grady achieved superhuman accuracy with excessive statistical confidence, confirmed in side-by-side comparisons with human TAs. Our team has authored whitepapers on these findings, illustrating our "no-human-in-the-loop" approach and the benefits of structured oversight for exceptions. These detailed whitepapers are available upon request, and our research efforts remain ongoing to ensure reliability in diverse course contexts.
Academic institutions rightfully demand systems that protect student privacy and ensure equitable treatment. Grady adheres to FERPA and other relevant standards, implementing end-to-end encryption and secure storage of grading data. Each AI decision is recorded in an audit log, enabling administrators to review and confirm that grading practices are consistently applied.
To address fairness, Grady employs standardized rubrics and follows the Quality Grading Process (QGP). Students have the right to challenge any grade through a remark request, which triggers an AI re-check. In the sporadic event where uncertainties remain, instructors serve as final arbiters. This combination of student-driven appeals and faculty oversight mitigates errors, promotes transparency, and aligns with the core academic values of consistency, objectivity, and impartiality.
Grady sets itself apart from AI solutions that continue to depend on human graders for finalizing scores. Every other product currently available still requires human intervention, contradicting the goal of modernizing and streamlining academic programs by eliminating the costly and repetitive burden of grading. In contrast, Grady fully automates the grading process, eliminating the need for human graders in the standard workflow, with manual involvement limited to handling remark appeals or flagged anomalies.
Co-Founder & CEO
Associate Professor
Rutgers University, The State University of New Jersey
Researcher in AI and cryptography
Funded by NSF & NSF-China
Co-Founder & CTO
Associate Professor
University of Illinois at Chicago
Researcher in AI and algorithms
Secured $1M+ in NSF funding
Our founding team has conducted research and taught at institutions including MIT, Tsinghua University, University of Toronto, Columbia, NYU, the University of Illinois, Rutgers University, Toyota Technological Institute at Chicago, The Ohio State University, and Google Research.
Academic Advisor
Distinguished Professor,
Rutgers University
Director, DSLA Institute
President for publication, IEEE
Academic Advisor
Vice Dean and Professor
Rutgers Business School
Academic Advisor
Associate Professor
The Ohio State University
Founder, Erdős Institute
Co-Founder, STEAM Factory
Advisor
COO, dub
Fintech Executive, Veteran
Research Faculty Advisor
Associate Teaching Professor
of Mathematics
UC Berkeley
Research Faculty Advisor
Lecturer of English, Creative Writing
Stanford University
Poet and Fiction Writer
Research Faculty Advisor
Senior Teaching Faculty
Columbia University
Director of the Data
Science
Master program
Research Faculty Advisor
Senior Lecturer
Computer Science and Engineering
The Ohio State University
Veteran
Research Faculty Advisor
Professor of History
University of Chicago
Writer
Research Faculty Advisor
Associate Senior Instructional
Professor of Biological
Sciences
University of Chicago
We welcome inquiries from university administrators, department chairs, and program committees looking to adopt AI-based solutions for grading. To learn more or schedule a personalized demonstration, reach us at:
Email: corporate@gradyai.com