ACCURACY
Is the source meaning preserved correctly, with no unsupported additions, omissions or shifts in meaning?
Your project will be done quickly and professionaly
AI Proofreading & Translation Quality Validation for enterprise content
Structured, Evidence-Based Validation Of Finished Multilingual Content — Combining Smart LQA, Objective Quality Criteria And Expert Review To Confirm Whether A Translation Meets The Standard Your Business Requires.
SMART LQA
ACCURACY
ADEQUACY
FLUENCY
ISO
CERTIFIED QUALITY PROCESSES
EXPERT
ARBITRATION
TQI
TRANSLATION QUALITY INDEX
Fluent does not always mean correct
The most dangerous translation errors are often the least visible. The text reads naturally, but the meaning has shifted, a critical detail is missing, or the terminology does not match approved usage — and without a structured review, quality becomes an opinion rather than a business decision.
Janus AI Proofreading evaluates finished multilingual content against the source, approved terminology, project instructions and the quality level required for its intended use. It applies equally to translations produced by Janus, another language provider, an internal team, or an AI translation tool.
What we validate
ADEQUACY
Is the translation complete and fit for its intended purpose — internal use, customer communication, regulatory submission or publication?
FLUENCY
Does the target text read naturally and professionally for its audience, without machine-like or awkward phrasing?
TRANSLATION QUALITY INDEX (TQI)
Accuracy, adequacy and fluency roll up into a consolidated TQI score, supported by issue classification, severity levels and expert arbitration where reviewers disagree.
Send a representative source and translation. We will assess whether it meets the standard required and tell you exactly where it does not.
What you receive
QUALITY SCORECARD
A structured view of performance across Accuracy, Adequacy and Fluency, measured against the agreed quality threshold.
ISSUE BREAKDOWN
Errors grouped by category and severity, so you can see where the risk actually concentrates.
EVIDENCE AND EXAMPLES
Representative findings linked to source and target text — not unsupported conclusions or a general “looks good” sign-off.
FIT-FOR-PURPOSE CONCLUSION
A clear statement of whether the content meets the standard agreed for its intended use, and what needs correction if it does not.
Why enterprise teams choose Janus for AI proofreading
AI Proofreading In Practice
Industry:
Global financial services enterprise.
Challenge:
Multiple translation suppliers were producing inconsistent quality across markets, with no shared standard to compare performance.
Solution:
Independent Smart LQA-based validation applied uniformly across all suppliers and languages, producing a comparable TQI score for each.
Result:
Quality performance became measurable and comparable across suppliers for the first time, supporting an informed vendor consolidation decision.
- Smart LQA methodology applied consistently, producing comparable results across languages, suppliers and content types
- A documented Translation Quality Index that stakeholders can act on, not a subjective opinion
- Independent validation — Janus can assess content translated by any provider, internal team or AI tool
- Expert arbitration available when reviewers disagree, resolved against defined severity and criteria, not personal preference
- ISO-certified quality processes and subject-matter reviewers across 100+ languages
- Nearly 30 years of enterprise multilingual quality management experience