Confidential, authorship-first academic support

Academic Integrity & Quality Checks

Before work goes to a marker, examiner, journal or the public, it helps to have someone check what can be checked: that sources exist and are cited properly, numbers agree, the brief is met, and any similarity or AI-detection report is understood for what it is. We offer those checks, and integrity training for students and staff.

Overview

Quality problems in academic work are usually small and fixable: a reference list that drifted from the text, a statistic copied from an old draft, a paraphrase that stayed too close to its source, a criterion in the rubric that was overlooked. Found before submission, they take an afternoon to correct. Found by an examiner or reviewer, they can cost credibility far out of proportion to their size.

This pillar brings together services that look at a finished or nearly finished document from the outside. Some examine sources (citation audits, fact verification), some examine alignment with expectations (rubric-based review), and some help you make sense of automated reports from similarity checkers and AI detectors. Each produces an itemized log with evidence, so you can see exactly what was found and decide what to do.

We are deliberate about what we will not do. Similarity and AI-detection scores are indicators, not verdicts, and we help people understand them rather than game them. We never reword text to lower a similarity score, never 'humanize' text to pass an AI detector, and never create or alter drafts or data. Where something needs fixing, the fix is proper attribution, accurate reporting or genuine revision by the author.

For institutions, the same knowledge underpins our training: workshops that teach students to use sources and AI tools within the rules, and help staff read reports and handle suspected misconduct fairly.

Who this is for

  • Students who have received a similarity or AI-detection report and need to understand it
  • Thesis writers doing final checks on references, numbers and requirements before submission
  • Researchers preparing manuscripts who want citations, retractions and statistics checked independently
  • Organizations publishing reports that rely on statistics and cited evidence
  • Teaching staff, supervisors and integrity officers who want clearer guidance on detection tools and fair process

How we approach this work

Indicators, not verdicts

Similarity indices and AI indicators are treated as prompts for human reading. We explain what a tool measured, its documented limitations and what other evidence matters.

Every finding comes with evidence

Logs cite the exact passage, the source or record checked and the result, so you can verify each point yourself rather than taking our word for it.

Fix by attribution and accuracy, never by disguise

Genuine problems are solved with quotation, citation, corrected numbers or real revision. We refuse score-lowering rewrites, detector evasion and any altered drafts or data.

The author stays responsible

We identify and explain; you decide and revise. Your institution's or journal's policy and your supervisor's guidance take precedence over ours.

Frequently asked questions

Is a quality check the same as editing?

No. Editing improves the language and flow of your text. Quality checks examine whether sources, numbers and requirements are right and produce a log of findings. Many people combine the two, usually doing the checks first so the edit works on corrected content.

Can you certify that my work is original?

No one can honestly certify that. We can tell you what a similarity tool found, which matches need attention, and whether your references and numbers check out. Originality judgments belong to your institution or journal.

Why won't you help lower my similarity or AI score?

Because changing words to move a score does not fix the underlying issue and is itself treated as misconduct at many institutions. We help with the legitimate route: attributing sources properly, revising genuinely and documenting your process.

Which checks should I do before submitting a thesis?

A common sequence is a citation audit, a consistency check of key numbers, a rubric or examiner-criteria review, and then final formatting and proofreading. If your institution runs a similarity check at submission, reviewing a draft report first can prevent surprises.

Do you keep or share my document?

Documents are used only for the agreed check and are never added to any comparison database or repository. We can delete files when the work is complete.

Tell us what you need help with

Describe your project, stage and deadline. We’ll reply with the right service, what we need from you and a quote — no obligation.

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