Enterprise IT & Software

The Localization-in-CI Benchmark

Real quality data from Flow programs, for engineering-led teams where the mandate to localize a new market lands before the infrastructure to support it does, and the release date doesn't move.

98%+

Accuracy at Fortune 50 scale

87 languages, 230 locales, at reduced cost. Independently confirmed across five separate customer engagements.

+10.3pts

Lead on Tech content

Flow leads the largest content category in the benchmark (50% of the dataset): 67.05% vs. 56.73% for the next platform, +43.5 pts over the lowest scorer.

Critical errors

Flow's overall MQM score (82.20%, 0 critical of 223 segments), the same top-line result used across every industry benchmark.

How localization keeps pace with the release cycle

Localization lives inside the issue tracker

Work enters the same system engineering already uses, not a side process that starts after code freezes.

Continuous feedback, not a post-release fire drill

Errors get caught and corrected inline, instead of batched into a scramble after the release already shipped.

One workflow, not headcount per language

The old model needs 30+ specialists per language across just 13 languages to manage 2,000+ defects. Flow's single workflow doesn't scale by adding people per language. In the same controlled benchmark against three competitor platforms, Flow led the largest content category in the dataset (Tech, 67.05% MQM), a +10.3 point margin over the next platform.^*

^*Senior human reviewers scored output against Centific's MQM framework across 13,890 words, 3 content types, and 3 language pairs, cross-checked with COMET/BERTScore/chrF/BLEU. Full competitor names disclosed in a live demo.

Flow

67.05%

Competitor A

Competitor B

Competitor C

Benchmark: what localization-in-CI looks like across real programs

These numbers come directly from Flow's Tech-content quality benchmark, the content type this vertical ships the most of, and from real enterprise localization programs, not borrowed from another industry.

Fortune 50 digital brandProduct localization at scale

Result87 languages, 230 locales, 98%+ accuracy

CostReduced overall cost

Flow overall (benchmark study)Tech content type, 50% of dataset

Result67.05% MQM, leads all tracked platforms by +10.3 pts

Flow overall (benchmark study)Cross-platform MQM, 223 segments

Result0 critical errors

Across Flow programs generallyMixed industries, not IT/Software-verified

Result3x-19x throughput increase

Cost30-60% cost savings

Self-check: is your localization pipeline built for the release cycle?

Your localization pipeline lives inside your issue tracker, not as a separate process that starts after engineering calls the work done.
When a new market commitment lands, your localization capacity scales with it. Nobody discovers the gap mid-sprint.
Your process holds quality without adding specialists per language.
You know your actual error rate on your hardest content category (UI strings, feature text), not just that nothing's been flagged yet.

Real workflow and quality numbers, benchmarked on the hardest content category enterprise engineering ships.

For the full benchmark — competitor names and complete scoring included.

Request a demo →