The company
Anywhere people score open ended answers at scale, they need it to be consistent, explainable, and private. We are building that, beginning with the place it matters most: the classroom.
Universities are our entry point, not our limit. The same engine that grades coursework scores open ended answers everywhere they are evaluated. As trust in the model grows, the same product moves outward.
Courses, programs, and online learning that grade short answers and assignments.
Exam and credentialing bodies that need scoring they can stand behind in an audit.
Training and compliance teams assessing open responses across large workforces.
Technical assessment platforms scoring work that has more than one right form.
The hard part is the same in every one of these: a score that does not drift, comes with evidence, and never has to leave the customer's walls. We build that once.
Consistent scoring with rationale and feedback for STEM coursework, piloted with university partners.
Consistency checks, appeals support, and audit ready records across a department.
Self hosted feedback that guides students, and the same trusted engine beyond the campus.
Rubrica is founded by Jing Shao, a PhD researcher at the University of Arizona working on trustworthy LLM evaluation, alongside fellow researchers across Stanford, Carnegie Mellon, Northeastern, and Boise State.
Whether you run a course, a program, or want to partner on a pilot, we would love to hear from you.
Get in touch