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Alpha Exams

Everything you need to run assessment with AI — safely.

Alpha covers the whole loop: turning past papers into data, drafting exams with AI under teacher control, grading them, and showing exactly where a class stands.

Content

Your past papers become a living asset.

Upload PDFs — and scanned images — and Alpha reads them, linking each question to a specific syllabus subtopic. What was a filing cabinet becomes searchable, reusable data.

  • Every question linked to a point on your syllabus
  • Scanned papers read alongside digital ones
  • Each paper added makes the next exam faster to build
PaperQuestions
Biology Paper 2 · June 202334
Biology Paper 1 · June 202231
Chemistry Paper 1 · Nov 202328
Illustrative example — not real student, candidate or company data.

Creation

AI drafts the exam — the teacher approves it.

Describe what you want — topic, length, difficulty — and Alpha drafts a ready exam from the papers you selected. It arrives as a reviewable draft, never a live exam.

  • Plain-English requests, drafted in minutes
  • Edit wording, adjust marks, swap questions
  • Nothing reaches a student unreviewed
AI drafted

End-of-unit test · Cells & Reactions

10 questions · 28 marks · 45 min

In review
01

Explain the role of the mitochondrion in aerobic respiration.

Cell biology · 4.2[3]
02

Calculate the rate of reaction from the graph in Figure 2.

Rates of reaction · 5.1[4]
03

Which ion is responsible for the observed colour change?

Qualitative analysis · 6.3[1]
Approve & publishEdit draft

Drawn from

  • Paper 2 · June 2023
  • Paper 1 · June 2022

Class mastery · last test

Cell biology
81%
Rates of reaction
58%
Qualitative analysis
34%
Illustrative example — not real student, candidate or company data.

Grading & insight

From marking tool to teaching tool.

Objective questions are marked the moment a student submits. Because every question is mapped to the curriculum, those marks roll up into class strength by subtopic — weakest first.

  • Instant auto-grading, no red pen
  • Mastery thresholds applied identically across every class
  • The weakest subtopics surfaced before you go looking
Students

28

26 sat the test

Class average

61%

−4 vs last test

Marked

100%

Auto-graded

Mastery by subtopic

Weakest first

Qualitative analysis
34%
Moles & masses
41%
Energy changes
46%
Rates of reaction
52%
Respiration
64%

Suggested focus: Qualitative analysis has fallen below 40% for three tests running.

Illustrative example — not real student, candidate or company data.

For the whole school

Everyone in the loop.

Teachers, students and parents each get their own console — showing what they need and nothing else.

Parent portal

Parents link to their child with a code and see results, schedule and announcements — the prestige of a modern, transparent school experience.

Notifications

Students and parents are notified when results are released or an assessment is published, so nothing slips through the cracks.

At a glance

The full capability list.

Past papers → structured data

Every uploaded paper is read and mapped to syllabus subtopics — searchable, reusable, and ready to build from.

AI exam drafting

Describe topic, length and difficulty in plain English and get a ready draft from your own papers.

Teacher approval, always

AI output arrives as a reviewable draft. Edit it, then approve it — the human owns quality start to finish.

Instant auto-grading

Multiple-choice and calculation questions are marked the moment a student submits. Written answers are reviewed by the teacher — AI-assisted marking for those is on the roadmap, not live yet.

Syllabus mastery analytics

Class strength by subtopic on consistent thresholds, so 62% never means two different things on two screens.

A question bank that compounds

Every paper uploaded and every exam run makes the next faster to build and the analytics richer.

See Alpha on your own past papers.

Book a 20-minute demo and we'll walk through the whole workflow — upload, AI draft, approve, auto-grade, and the mastery dashboard.