Azure Supports 3 Async Languages. Limina Covers 50. And Catches 43% More PII.
On real privacy data across five European languages, Azure Language Services recall is 0.504. Limina's is 0.932. Built for broad language tasks, Azure wasn't designed to catch what matters most across the languages your data actually lives in. Limina was. And unlike Azure, your data never leaves your environment.
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93.22%
+34.09%
50+
0
Where Limina Wins
A direct comparison across the dimensions that matter most to engineering and compliance teams.
Feature by Feature
Limina vs. Azure Language Services across the full capability set.
Built for Teams with Real Exposure
The organizations that choose Limina over Azure Language Services are the ones where a 34% recall gap across their highest-volume languages has consequences.
Healthcare & Life Sciences
Azure Language Services has partial HIPAA identifier coverage. Limina covers all 18, on-premises, with expert determination-ready output. For teams processing clinical notes, patient recordings, and multilingual medical records, partial coverage isn't a tradeoff—it's a compliance gap.
Financial Services
Azure provides partial PCI coverage with config-dependent data egress. For teams under GDPR, HIPAA, or internal data-residency policy, "config-dependent" is not a compliance posture. Limina runs in your environment and catches full PCI data—including disfluent card numbers in transcripts—with no data leaving your infrastructure.
Global Enterprises
Azure supports 100 languages for single-turn processing but only 3 for async and multi-turn payloads—the formats where enterprise PII actually lives. Limina supports 50+ languages for async processing with the same accuracy benchmark across all of them. EMEA, APAC, and LATAM teams operate at the same standard as English-language deployments, with no additional model cost for language detection.
AI & LLM Initiatives
The recall gap is largest in Spanish and French—two of the highest-volume non-English markets globally. For AI teams training on multilingual data, a 34% recall gap in Spanish means a significant portion of sensitive entities reaching model training pipelines. Limina strips PII at ingestion, inside your infrastructure, deterministically.
Regulated & High-security Environments
Azure's data egress is config-dependent, whether your data leaves your environment depends on how the deployment is set up. In regulated environments, configuration drift is a real risk. Limina's guarantee is architectural: data never leaves. No configuration required, no configuration to get wrong.
The Honest Comparison
A missed entity isn't a classification error. It's data exposure. Here's how the two products actually compare.
"Azure Language Services supports 100 languages."
For single-turn, synchronous processing: yes. For asynchronous and multi-turn payloads, the formats where enterprise PII lives in call transcripts, chat logs, and batch pipelines, Azure supports 3 languages with 1 additional in preview. Limina supports 50+ languages for async processing. The sync language count is the right number to advertise. The async count is the right number to evaluate.
"Azure Language Services can run on-premises."
It can—with configuration. Whether data leaves your environment depends on how the deployment is set up. For teams under HIPAA, GDPR, or internal data-residency policy, config-dependent egress is not a guarantee. With Limina, data egress is architecturally impossible. Your data never leaves your environment, full stop.
"Azure Language Services supports code-switching."
True, but so does Limina. Code-switching support is a baseline requirement for multilingual deployments, not a differentiator between these two products. Recall, async language coverage, and data residency are.
"Azure Language Services precision is competitive."
On the custom privacy-focused dataset, Azure precision is 0.5616. Limina's is 0.9281. A 37-point precision gap compounds the recall problem—Azure neither finds nor correctly flags what's there. On real privacy data across five European languages, the F1 gap ranges from 16.58% in Italian to 29.13% in Spanish.
"Azure Language Services is benchmarked on standard datasets."
Limina's benchmarks run on the ai4privacy 500k dataset—publicly available, multi-domain, spanning finance, healthcare, and legal text. Limina has not trained on any split of it. Evaluations cover all five European languages both products support, with labels mapped to a common schema. The evaluation code and datasets are available on request.
See Limina on Your Data
Most teams know within a single proof of concept whether Limina fits. We'll run it against your formats, your languages, your edge cases—so the comparison is real, not theoretical.