Bud Systems
“The Spydr team are experts in their field. We are extremely pleased with the work delivered and continue to work to continually improve the system. Highly recommended.”
Client team
at Bud Systems
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.
- Client
- Bud Systems
- Date
- March 2025
- Role
- Product developer
- Website
- bud.co.uk
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.
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