Grading shouldn't be a burden.
It should be an insight.
We built Gradebot™ because we grade thousands of assignments ourselves. Every design decision starts with one question: would we trust this with our own students? The result is an AI grading platform that follows your rubric, shows its reasoning, and delivers finished grades, so you can focus on teaching instead of scoring.
Our Core Values
Every feature we build is measured against one standard: can we upload a stack of assignments and trust what comes back?
Accuracy and Rigor
Gradebot™ pairs premium AI models with structured evaluation workflows, so every score traces back to your rubric with the reasoning shown. Publishing our testing data and methodology openly is on our roadmap, because a grading platform should earn trust through evidence, not promises. The goal is a first pass rigorous enough that your review is quick and confident — you remain the grader of record.
Insight Across Subjects
Gradebot™ goes beyond individual scores to surface patterns across your class, whether you teach essays, short answers, STEM problem sets, or mixed formats. Because the scoring pass is already done when you sit down, you spend less time scoring and more time acting on what the data reveals: where students are struggling, and where your teaching is landing.
Security and Control
Student work is stored securely and retained on your institution's schedule — 180 days by default, configurable from a 30-day floor up to 730 days — and is never used to train, fine-tune, or improve any AI model. Gradebot™ is designed to meet FERPA requirements from day one. Student education records stay private and institution-controlled: we never sell student data, use it for advertising, or share it with data brokers, and the service providers who help deliver the platform are bound by contractual security safeguards. You review every score, and you can override any of them or adjust rubric interpretation at any time.
Built by professors who got tired of grading tools that still left them grading.
Gradebot™ started the way most useful tools do: out of frustration. Our founders are professors and professionals who spent years grading thousands of assignments by hand. The AI tools available either oversimplified evaluation, ignored rubric fidelity, or treated grading as a black box. Worse, every one of them still left the instructor doing most of the work. None were built by people who actually grade.
So we built our own. Gradebot™ was designed first for our own classrooms, tested against our own standards, and refined across more than 24,000 real assignments. Every workflow reflects a single design goal: upload your assignments and get back accurate, rubric-aligned grades that are quick to check and sign off on.
The guiding principle has never changed: grading should not be your bottleneck. Gradebot™ takes the first pass from rubric interpretation to scoring to feedback, so the time you spend is spent reviewing rather than starting from a blank page — and you can focus on teaching, mentoring, and course design. Every result comes to you with its reasoning attached, for you to adjust and approve before it reaches a student.
Meet the Team
Professors, researchers, and practitioners building the grading platform they wished existed: one that actually finishes the job.
Neena Sathi
CTO
Neena Sathi is CTO for the Gradebot™ offering, bringing 35+ years of AI leadership and over 100 deployed AI solutions worldwide across telecom, utilities, healthcare, retail, and government. She has held technology leadership roles at IBM, KPMG, Accenture, CenturyLink, and an AI startup, authored numerous publications and six Springer video books, and has taught Generative AI to 5,000+ students and executives.
Vidyanand ("VC") Choudhary
Founder
Vidyanand ("VC") Choudhary brings an evidence-based perspective shaped by decades in research, teaching, and academic leadership. He holds a PhD in Management from Purdue University and is a Professor of Information Systems and Director of International Programs at UC Irvine, with publications in Management Science, MIS Quarterly, and Information Systems Research. At Gradebot™, he helps ensure grading is consistent, explainable, and aligned with academic standards.
Amanda Jones
Founder
Amanda Jones brings clinical precision and hands-on experience supporting instructors and healthcare teams. A Nuclear Medicine graduate of the University of Oklahoma Health Sciences Center, she most recently served at GE Healthcare, training technologists and consulting physicians on real-world workflow needs. At Gradebot™, she helps build transparent, reliable grading that keeps instructors in control.