CohortQX

AI-powered · Human-led

Every application.
The full picture.

CohortQX turns application documents, academic records, references and test scores into a transparent, evidence-backed review—using your criteria and keeping every decision in human hands.

Talk to us ↗ See how it works ↓
An admissions professional reviewing an application in a university office
01 · Comprehensive analytics · GPA computation & conversion 02 · Tailored to your institution 03 · Together to deployment

Every requirement accounted for

The full application.
Checked before review.

CohortQX checks every submission against your requirements, flags what is missing and can trigger the right follow-up before manual review begins.

Application completeness · Ready for review 8 files · 7 document types
Application files 8 files open in the document window

Application documents

AF Application Summary.pdfApplication form PDF CV Curriculum Vitae.pdfCV / résumé PDF TR Academic Transcript.pdfTranscript PDF PS Personal Statement.pdfStatement PDF TS GMAT Score Report.pdfTest score PDF RL Reference — Academic.pdfReference letter PDF RL Reference — Professional.pdfReference letter PDF ID Identity Document.pdfOther PDF
Document checklist Mandatory 5/5 Optional 2/3
✓ Application formApplication Summary.pdf Submitted
✓ Curriculum vitaeCurriculum Vitae.pdf Submitted
✓ Academic transcriptAcademic Transcript.pdf Submitted
✓ Personal statementPersonal Statement.pdf Submitted
✓ Reference letters Reference — Academic.pdf · Reference — Professional.pdf Submitted
✓ GMAT / GREOptional · GMAT Score Report.pdf Submitted
English-language certificateOptional · no submitted file Awaiting

✓ Every mandatory document is ready for review.

Explore application understanding →

Academic records made usable

GPA and GPR.
Calculated from transcripts.

When no GPA or GPR is directly provided, CohortQX can infer it from the transcript and calculate it from the source grades and institutional grading rules.

Transcript calculation · Source grades mapped 3 courses · Local grading policy applied
Academic Transcript.pdf GPR inferred
Quantitative Methods A
Statistics A-
Econometrics B+
Calculated from source grades 3.74 / 4.00
01
Extract source grades Reads course-level marks from the transcript.
02
Apply institution rules Uses the configured grading scale and credit weighting.
03
Show the calculation trail Connects the final GPA/GPR back to every source grade.

Cost-efficient review

Spend time deciding.
Not searching.

CohortQX handles repetitive extraction, cross-checking and evidence preparation, so reviewers can concentrate on judgement.

Explore efficient review →
up to 80%

less application preparation time

Tailored to your institution

Your process. Not ours.

Your programmes have their own standards. CohortQX adapts to your criteria, terminology, grading policies, systems and reviewer workflow.

See how tailoring works →
PROGRAMME CONFIGURATION MSc Admissions Rubric
Version 3.2
⋮⋮A
Academic preparation4 subcriteria
Required
⋮⋮Q
Quantitative readinessCourse evidence
Required
⋮⋮W
Relevant experienceProgramme-specific
Weighted
⋮⋮+
Add your criterionAdapt the review
Optional
Changes require approval

Explainable by design

Every conclusion has a trail.

Move from assessment to reasoning to the exact passage in the original application. Every score carries its evidence with it.

Explore explainability →
4/5
PROGRAMMING EXPERIENCE

Strong applied evidence

Multiple languages supported by a concrete, relevant project.

01 Python and SQL are used in a substantial analytical project.

The statement describes a forecasting workflow that combined operational data from three teams and names both technologies.

Personal statement · p.2 Language evidence
02 The example describes the candidate’s own contribution.

First-person actions—built, cleaned and validated—distinguish the candidate’s contribution from the wider team’s work.

Personal statement · p.2 Contribution
03 Evidence is consistent across the CV and statement.

The placement, project scope and technologies appear in both documents without a material discrepancy.

CV · p.1 Cross-document check
PERSONAL STATEMENT · PAGE 2 OF 3 Supporting evidence
PS
Personal Statement.pdf Original application document
12

…I wanted to apply quantitative methods to operational decisions.

13

During my placement, I built a Python and SQL forecasting workflow that combined operational data from three teams…

14

The resulting forecasts informed weekly capacity planning…

Matched to reasoning 01 Programming experience · Applied example

Consistency, built in.

Fairness starts with clear criteria.

01
Synthetic applicant portrait
PERSONAL DETAILS Elena Rossi elena.rossi@email.com
+44 7700 900128

Relevant evidenceEconomics · Quantitative methods · Python

Identity stays out of the assessment

Personal identifiers are removed before analysis—protecting sensitive data and reducing identity-based bias.

02
PROGRAMME MOTIVATION 4 / 5

Clear programme fit, supported by relevant preparation.

Informed fit 5 / 5

Links specific programme content to clear career goals.

Preparatory actions 4 / 5

Cites relevant coursework and an applied project.

Contribution intent 3 / 5

Offers credible plans, though some remain broad.

Your criteria drive every score

Define every criterion and subcriterion, see how each applicant performs against them, and trace every score to its reasoning and evidence.

03
CONTRIBUTION INTENT Motivation
CohortQX suggests 4 / 5
Reviewer sets 3 / 5

“Credible plans, though some remain broad.”

Change recorded Reason saved · Audit trail updated

Human judgement leads

Reviewers can challenge, correct and override every assessment.

CohortQX brings structure and transparency to review while keeping every admissions decision in human hands.

Explore responsible review →

Responsible deployment

Governance built for scrutiny.

Privacy controls, human oversight and traceable evidence strengthen institutional readiness for GDPR, UK GDPR and wider privacy and AI-governance requirements worldwide.

DATA CONTROL01

Privacy on your terms

DECISION AUTHORITY02

Your institution decides

TRACEABILITY03

Evidence, end to end

LIFECYCLE GOVERNANCE04

Governance in practice

Regulatory compliance depends on each institution’s configuration, deployment and governance.

A cross-functional university team working together around a laptop
One team, from discovery to rollout

Guided throughout

From first workshop to confident rollout.

We help align assessment policy, legal responsibilities, IT integration, reviewer training and ongoing evaluation.

  1. 01 Discover
  2. 02 Configure
  3. 03 Validate
  4. 04 Integrate
  5. 05 Monitor
Plan your rollout →

A clearer way to review

Make every application easier to understand.

Talk to us ↗