85,000 prompt recordings across 20 languages
A top-10 technology company needed 85,000 prompt recordings across 20 languages, balanced enough to train an assistant that works for real speakers, not a narrow sample.
85,000 prompt recordings - 20 (incl, regional variants) - Multilingual AI assistant training
110,000+
native linguists and AI data contributors
Founder-reported combined network · 4 Oct 2026
300+
languages across active service lines
4,500+
dialects and regional variants
1,000+
organizations served since 2015
Measured outcomes
AI assistant prompt data
AI assistant prompt data
- Client
- A top-10 technology company
- Service
- Multilingual prompt data collection
- Languages
- 20 (incl, regional variants)
- Volume
- 85,000 prompt recordings
A top-10 technology company needed 85,000 prompt recordings across 20 languages, including regional variants like Parisian and Canadian French and European and Brazilian Portuguese, to train a multilingual assistant.
Assistant training data is only as good as its coverage: a thin or skewed sample in one language means the assistant fails for those speakers in production.
The problem to solve
Prompt data collection across 20 languages fails when regional variants are collapsed into one, when speaker diversity is thin, or when recording quality is inconsistent across languages.
The company needed balanced, specification-compliant recordings across all 20 languages on one standard.
How AI data services was delivered
MoniSa sourced speakers across the 20 languages and their regional variants and ran QA on every recording for specification compliance and audio quality.
Regional coverage
Regional variants were sourced separately rather than collapsed into a single language label.
Speaker diversity
Speakers were sourced for diversity so the assistant generalized beyond a narrow sample.
Per-recording QA
Every recording was checked for prompt accuracy, audio quality, and format compliance.
What was delivered on this engagement?
The company received 85,000 prompt recordings across 20 languages and their regional variants, the multilingual data behind an assistant launch.
| Volume | 85,000 prompt recordings |
|---|---|
| Languages | 20 (incl, regional variants) |
| End use | Multilingual AI assistant training |
What supported the result
Why this team fit the assignment
Assistant data needs real regional coverage and speaker diversity, not a thin sample stretched across 20 language labels.
What decided the result
Balanced coverage across every language mattered more than raw recording count.
What buyers can reuse
- Assistant training data fails in production wherever coverage is thin, so regional variants cannot be collapsed.
- Speaker diversity and per-recording QA are what make multilingual voice data generalize.
- The evidence keeps the client details confidential and attributes the metrics only to this engagement.
Work connected to AI assistant prompt data
Related services, buying guidance and language coverage
AI data services and buyer guidance
Languages listed
- Regional French and Portuguese variants
- Indic languages
- East and Southeast Asian languages
More proof
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AI assistant prompt data questions
What was delivered on this engagement?
Volume: 85,000 prompt recordings. Languages: 20 (incl, regional variants). End use: Multilingual AI assistant training
Which control supported the AI assistant prompt data result?
Balanced coverage across every language mattered more than raw recording count.
Scope work like AI assistant prompt data
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