Earn the right to make stronger claims.
The Evidence Centre defines how Versioning should benchmark quality, publish methodology, separate automated indicators from human evaluation, and avoid cherry-picked comparisons.
Global content, connected.
Move from source content to market-ready language through a clear combination of technology, context and human expertise.
How Versioning should test.
Language pair, domain, market, content type, quality profile and risk level.
Use identical source segments and protected terminology for every provider.
Do not silently post-edit one provider before comparison.
Numbers, URLs, tags, placeholders, terminology, completeness and formatting.
Use established metrics/models appropriate to the language and task; report their limitations.
For important benchmarks, qualified reviewers should not know which provider generated which output.
Latency, cost, failure rate, post-edit effort and human-review need matter alongside raw quality.
State dates, sample size, test conditions, exclusions and conflicts. Never extrapolate one winning pair to “best in the world.”
The goal is not a vanity score.
The goal is a routing system that becomes more accurate as Versioning accumulates lawful benchmark, post-edit and customer-quality data.
Run a benchmark →