AI-Driven assessment marking for higher-education provider
Marking assignments is now 50% faster with Bud Mark
Training providers spend a significant amount of time manually marking written assignments. The process is slow, inconsistent, and often influenced by external factors, such as the time of day or the trainer's workload.
Spydr partnered with Bud Systems to develop Bud Mark - an AI-powered feedback platform that automates marking and feedback for apprenticeship providers. Built in React and powered by Supabase, Bud Mark runs entirely on Bud’s private infrastructure and integrates seamlessly via API into Bud’s existing platform, delivering rapid, consistent, and high-quality feedback.
Through advanced prompt engineering and custom AI evaluation logic, Bud Mark assesses learner submissions against rubrics in seconds, cutting marking time by 50% while improving objectivity and learner engagement.
Streamlined marking through AI integration
Problem:
Manual marking was time-intensive, inconsistent, and administratively heavy, creating bottlenecks for trainers and uneven experiences for learners.
Solution:
We built Bud Mark to automate and standardise the feedback process. Assignments are sent directly from Bud to Bud Mark’s AI Evaluation Engine via secure REST API. The engine analyses submissions against provider-defined rubrics and returns clear, personalised feedback within minutes directly inside the Bud interface.
This approach ensures faster turnaround, reduced administrative load, and consistent, unbiased evaluation across trainers.
Secure, accessible and built for scale
Bud Mark was designed with privacy, accessibility, and scalability in mind. By hosting the platform privately on Bud’s own infrastructure, all learner data remains fully under Bud’s control.. All data is handled securely via encrypted Supabase APIs, ensuring compliance with data protection standards. The platform’s UX was crafted around Bud’s brand guidelines, meeting accessibility requirements to ensure inclusivity for all users.
Rapid delivery driven by research and feedback
Using our agile process, we moved from proof of concept to production in record time. Working closely with Bud’s team and using feedback from pilot users, we refined workflows, optimised AI prompts, and expanded rubric management capabilities.
The result: a seamlessly integrated AI marking platform that cuts marking time by half, enhances feedback quality, and delivers a more engaging learner experience.
