The grading layer for AI learning products
Scorafy is the grading-and-feedback layer for teams building AI learning products. If you are shipping an AI tutor, faculty, or course assistant, Scorafy marks each learner response against the rubric you define and returns a structured, evidence-based report per learner. You get rubric marking, grounded feedback, and per-learner reporting without building an assessment engine yourself. It is Claude-powered, runs on your own grading criteria, and is built for organisation isolation and EU data residency.
Free plan - no card required. Trial it on one assessment.
The problem this solves
Where ai learning product builders commonly lose time and consistency.
- Assessment is the hard part of a learning product, and building a rubric-marking engine pulls a team off its core roadmap
- Generic AI feedback drifts and invents strengths the learner never demonstrated, which erodes trust in the product
- Marking has to map to a defined rubric, not a vague "looks good" judgement, to be defensible
- Each learner needs an individual report, not a single aggregate score, and that does not scale by hand
- Customers in education and regulated training ask hard questions about data residency and tenant isolation
How Scorafy fits the workflow
The AI drafts, a qualified human reviews and decides.
Bring your rubric
Define the criteria and performance levels your product assesses against. Scorafy marks to that rubric, not a generic question bank.
Send learner responses
Pass each learner’s open-ended answers and uploaded work in. Scorafy reads the actual response, not just a score.
Get a grounded report back
Claude marks each response against your rubric and quotes the learner’s own words as evidence. The marker is instructed never to invent strengths the responses do not support.
Surface it in your product
Use the per-learner report inside your tutor, faculty, or course assistant. A reviewer can sign off where the stakes require a human decision.
Why it works for ai learning product builders
The specific gains for this use case.
What Scorafy does and does not do
Scorafy is the grading and feedback layer, not a full LMS or your product’s front end. It marks learner responses against your rubric and returns structured reports. Where a result is consequential, a qualified person reviews and signs off. Your product owns the learner experience; Scorafy owns the marking.
Frequently asked questions
Can I use Scorafy as a grading layer inside my own AI product?
Yes. That is the core use case here. You bring the rubric and the learner responses, Scorafy marks against your criteria and returns a structured, evidence-based report per learner. You do not have to build assessment from scratch.
How do you stop the AI inventing strengths?
The marker is instructed to quote the learner’s actual answer text as evidence for each judgement and never to credit a strength the responses do not support. A candid, short report is the correct output for a weak answer, not invented praise.
Whose rubric does it mark against?
Yours. You define the criteria and performance levels, and the AI maps each response against them. The marking reflects your standard, not a generic question bank.
Is it built for compliance and isolation?
Data is isolated per organisation using row-level security. The primary region is EU (Dublin), with optional Sydney data residency. Data is encrypted in transit and at rest and is not used to train AI models.
What does it cost?
There is a free plan to trial the marking on one assessment. Paid plans start at $39 USD per month, scaling response limits on higher tiers. See the pricing page.
Related resources
Templates to start from
Compare alternatives
Other use cases
See it on your own assessment
Start free, build one assessment, and see the AI-drafted feedback for yourself.