OCR and answer capture
Bring scanned answer scripts into the workflow and review extracted text before evaluation.
Academic assessment
A clearer way to evaluate descriptive answers.
An AI-powered academic assessment platform for descriptive answer evaluation, rubric-based scoring and faculty review.
Overview
More time for academic judgment.
Unigrid brings answer capture, evaluation and review into one academic workflow. OCR helps turn scanned responses into text. AI assists with semantic evaluation and rubric mapping, while faculty review, adjust and make the final assessment decision.
Evaluation involves more than a score.
Descriptive assessment takes more than checking for keywords. Evaluators need to read the answer, apply the rubric consistently, record feedback and review results across a class. Unigrid brings those steps into a shared workspace.
Interface preview
Inside the evaluation workflow.
Explore how rubric mapping, faculty review and reporting can fit together. This preview illustrates the workflow; a demo covers the product and the institution’s requirements.
UniGrid Faculty workspaceIllustrative workflow
Descriptive response
Understanding the answer.
A response is read against the question, expected concepts and the institution’s assessment rubric.
Extract → interpret → mapRubric evidence
- Core conceptEvidence mapped
- ExplanationReview reasoning
- Supporting exampleFaculty check
Suggested assessment stays available for faculty review.
Review queue
Keep academic judgment in the loop.
- Extracted responseRead source
- Rubric mappingCheck evidence
- Suggested evaluationConfirm or revise
Faculty note
Review. Comment. Confirm.
Faculty can consider the response, the assessment criteria and the suggested evaluation together before confirming the outcome.
Faculty confirmationAcademic reporting
Follow the assessment through.
Bring student records, evaluation progress and rubric-level observations into the same academic workflow.
Review before releaseReporting views
- By assessmentEvaluation progress
- By rubricLearning patterns
- By studentAssessment record
Product capabilities
From the answer sheet to the assessment record.
Rubric-based evaluation
Map answers to the assessment criteria and scoring structure set for the question.
Semantic evaluation
Use AI assistance to review the meaning of an answer alongside the marking guidance.
Faculty review
Review suggested scores and feedback, correct exceptions and approve the final result.
Academic workflows
Organise exams, questions, student records and evaluation assignments in one place.
Analytics and reporting
Review results by question, assessment and student, with reports for academic teams.
How it works
An assessment workflow with faculty in control.
Set the assessment
Add the questions, rubric, scoring rules and relevant student records.
Capture answers
Upload responses and review OCR output where scanned documents are used.
Evaluate and review
Use AI-assisted suggestions as an input to faculty review and correction.
Approve and report
Faculty finalise results and review academic reports and evaluation history.
Where it fits
Built around institutional assessment.
Institution assessments
Coordinate descriptive examinations and evaluation workflows across academic teams.
Faculty review
Bring answers, criteria, suggested scores and final decisions into one review screen.
Academic analysis
Explore question-level and assessment-level patterns to guide subsequent review.
Deployment
Fit the institution’s environment.
Deployment is scoped with the institution around assessment volume, existing records, hosting requirements and the academic workflow. A demonstration can be arranged using sample assessment material.
Security & access
Student information needs considered access.
Student data, access roles, retention and any institutional integrations are agreed during deployment planning. AI suggestions remain subject to faculty review; the institution retains the final assessment decision.
A few useful answers
Before we talk.
Does UniGrid replace faculty evaluation?
UniGrid is designed to assist descriptive evaluation. Institutions define their rubrics and review process, with faculty retaining academic judgment over the final outcome.
Can it work with our assessment process?
The demo is a chance to review your answer formats, exam workflow, assessment criteria and reporting needs. Those requirements shape configuration, integration and rollout.
How do we assess whether it fits?
Bring a representative, permitted sample of your assessment process to the discussion. We can review the inputs, workflow and acceptance criteria before defining a deployment.
Request a demo
See how it fits your requirement.
Tell us about your environment, the workflow you have today and what you want to improve.