In the context of Bud Mark, a rubric is a set of pre-defined criteria, used to assess the quality of a learner's submission.
Cut marking time by 50% with AI-powered assessment
Deliver high-quality feedback in seconds, not days.
Faster marking. Consistent feedback. Full control.
Bud Mark transforms marking into a structured, scalable process that combines AI efficiency with tutor oversight
Reduce marking time by 50%
without cutting corners
Improve marking consistency
at scale
Deliver faster
feedback
and reduce delays
Keep learners
engaged
and support progression
Marking slowing delivery down?
Trainers spend, on average, 1.5 days per week on marking – trying to balance workload, consistency, and learner expectations.
With this much time invested, formative assessment becomes a bottleneck, not a driver of progress.
Discover AI-powered assessment, built into delivery
Bud Mark is an AI-powered assessment capability embedded within the Bud platform.
It evaluates learner submissions against your defined rubrics, generating structured, high-quality feedback instantly, while keeping tutors fully in control through review and approval.
How Bud Mark works
Bud Mark automates formative assessment while keeping tutors firmly in control.
Reduce workload, improve consistency and deliver feedback faster across your entire provision.
Why Bud Mark works where others don't
Bud Mark works because it doesn't stand alone – it operates within the full context of your delivery: drawing on programme structure, learner data, and assessment criteria.
Feedback is consistent and relevant – not generic AI output.
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Proven impact: Bud Mark reduces marking time by 50%
In a structured trial with Skills4Group, Bud Mark reduced marking time by 50%, while maintaining high quality, consistent feedback aligned with tutor expectations. It enables tutors to significantly reduce workload without compromising standards.
"Bud Mark delivered high-quality feedback in half the time… comments were specific, well-structured, and aligned with tutor judgement.”
Built for control – not just speed
Bud Mark is designed for funded learning environments where quality and accountability matter.
All AI-generated feedback is reviewed by tutors before release, ensuring alignment with standards, safeguarding quality, and maintaining full auditability across the assessment process.
Plug in to wider AI-capability
Bud Mark forms part of Bud’s wider AI capability – built on a single, unified platform and working alongside insights, workflows, and reports to support consistent and scalable delivery for your organisation.
With Bud Mark, formative assessment becomes connected, not siloed.
Working with Bud Mark
Reduce marking time without cutting corners
Automate repetitive marking tasks and generate feedback in seconds, freeing up trainers to focus on delivery and learner support.
Deliver faster feedback and better engagement
Immediate, high-quality feedback keeps learners motivated, reduces delays, and supports stronger progression.
Improve consistency at scale
Every submission is assessed against the same rubric, ensuring objective, structured, and repeatable feedback across teams.
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This varies based on the assessment and submission that is being marked. However, in our testing Bud Mark generates feedback in around 20 seconds.
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Bud Mark securely processes all data within UK-based data centres. It uses Supabase, a trusted UK-based backend provider, and Microsoft's Azure OpenAI service, hosted exclusively within the UK for Bud's specific use. All AI-generated responses are reviewed and approved by human reviewers within your organisation, before being applied.
Documents are only stored temporarily during the feedback process and are permanently deleted immediately afterward. Bud Mark's AI does not retain any data or use it to train or improve models. For more detailed information, please refer to Bud’s Privacy Policy.
Bud Mark FAQs
For the full list of Bud Mark FAQs, head to the Bud Mark Knowledge Base.
Ready to see Bud Mark in action?
Get in touch with our team for a demo of our AI-powered assessment capability.