GradeOrbit - 2026 Pricing, Features, Reviews & Alternatives

GradeOrbit is an AI-powered marking assistance platform tailored for UK educators across key stage three, General Certificate of Secondary Education, Advanced Level, BTEC, and Functional Skills qualifications. The system provides intelligent suggestions for handwritten and typed assignments while preserving teacher authority over final grades. The service integrates with major examination boards including AQA, Edexcel, OCR, Eduqas, and WJEC. GradeOrbit functions as an assistive tool that complements professional expertise by generating marking recommendations for educator review and approval.

The platform differentiates between assignment types to match pedagogical requirements. For essays, extended responses, and coursework, the system evaluates submissions against uploaded marking rubrics and attaches categorized feedback at precise locations including areas for commendation, next steps, and spelling corrections. Full transcription of handwritten work renders each script searchable regardless of penmanship quality. In calculation tasks, GradeOrbit allocates method marks and answer marks independently while displaying a marker or cross at every assessment gate with the documented working that earned each score. A built-in redaction feature permits permanent blackouts of personal data before analysis. A Teaching Assistant module enables natural language inquiries about grading decisions directly within the marking interface.

A streamlined workflow guides users through four stages. Educators begin by uploading or scanning student submissions. Sensitive information can then be redacted on the document. Next, qualification level and exam board preferences are set and marking schemes are uploaded. The process concludes with a review of AI-generated suggestions and educator approval of final assessments.

GradeOrbit is built on Google Gemini models under a zero-retention agreement that protects student data. Individual and team accounts never store uploaded work in databases and anonymize student identifiers. School accounts operate under data processing agreements that retain submissions and match records to institutional rosters. An automatic fallback system ensures continuous analysis when primary models experience brief disruptions.