Case study
Four million words across 21 languages, over six continuous years.
A leading social platform needed continuous product and content localization across 21 languages without quality drifting as volume and pace grew year over year.
4,000,000+ words - 21 - Independently reviewed
4,000,000+ words
Volume
21
Languages
Measured outcomes
Social platform localization
Project overview
What landed, and what made it hard.
A leading social platform needed continuous localization across 21 languages — a mix of major European languages and lower-resource Indic and Southeast Asian languages — as product and content shipped on a constant cadence.
Delivery snapshot
Social platform localization
- Client
- A leading social platform
- Service
- Continuous product and content localization
- Languages
- 21 languages
- Volume
- 4,000,000+ words
- Duration
- Six years, continuous
Why this mattered
Outcome before process.
The risk was not a single launch. It was sustaining consistent quality and terminology across years of rolling work, where one weak language track could surface in front of a very large user base.
The problem to solve
Why the work was difficult, and what MoniSa changed in-flight.
Continuous localization at this scale fails when reviewer benches turn over, terminology drifts between batches, or rare-language coverage cannot keep pace with the major languages.
The challenge
The problem to solve
The platform needed one partner who could hold 21 language tracks to the same standard month after month, not a roster of vendors handing work back and forth.
Operating response
What MoniSa changed
MoniSa ran the engagement as a standing operation rather than a series of projects, with dedicated language pods and continuity of reviewers across the full term.
- Dedicated pods Two to three linguists per language held continuity across batches so terminology and tone stayed consistent.
- Standing QA Each batch passed the same review path, with senior escalation reserved for ambiguous or sensitive content.
- Rolling cadence Work moved continuously so no language track fell behind the platform’s release pace.
Results
Measured outcomes from this engagement.
The platform received 4,000,000+ words across 21 languages over six continuous years, with the same partner holding every language track to one standard.
| Volume | 4,000,000+ words |
|---|---|
| Languages | 21 |
| Quality acceptance | Independently reviewed |
| Duration | Six years, continuous |
| Team | 2–3 linguists per language |
Selection logic
What protected the result.
The selection came down to whether MoniSa could source and review the work at standard, and whether that would hold across the full run.
Why the fit was real
Why the fit was real
The work needed continuity and rare-language depth in one operating model, not a vendor rotation that resets quality every quarter.
What decided the result
What decided the result
Sustained consistency across years mattered more than any single batch — the same reviewers, the same terminology, the same standard.
What buyers can reuse
What buyers can reuse
- Continuous localization is a continuity problem first: dedicated pods and stable reviewers beat a rotating vendor bench.
- Holding 21 language tracks to one standard for years is what keeps quality from drifting in front of a large user base.
- The evidence keeps the client details confidential and attributes the metrics only to this engagement.
Continue from this proof
Useful comparisons for the same problem.
Use these links to compare the case with the matching service, buyer guide, and language coverage.
Mapped context
Service and buyer context
Languages named
Examples referenced in the engagement.
- Major European languages
- Lower-resource Indic languages
- Southeast Asian languages
More proof
Related proof
Compare this case with adjacent MoniSa proof before deciding whether the operating pattern fits your brief.
case evidence
Nearest proof pattern.
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Buyer questions
Ask the questions weak vendors avoid.
Short answers for buyers checking fit, coverage, quality method, and next-step readiness.
What was delivered on this engagement?
Volume: 4,000,000+ words. Languages: 21. Quality acceptance: Independently reviewed
What control kept the work stable?
Sustained consistency across years mattered more than any single batch — the same reviewers, the same terminology, the same standard.
Where should similar work go next?
Use Localization services for the delivery model, the case studies hub for buyer-side evaluation, and the contact page for a scoped brief.
Similar brief
Send the constraint behind the metric.
A useful follow-up to a case study names the language mix, review model, deadline, and what proof your buyer team needs before approval.
Production-ready brief
01Closest matching challenge from this case02Language pair, dialect, and script coverage03Volume, cadence, or hours to deliver04Reviewer model and acceptance criteria05Security or platform constraints06Proof needed for stakeholder approvalCapability at a glance
The answers most briefs open by asking for.
Buyers rarely start with who we are. They start with a list of fields to fill. Here are ours, so the first email can be about the work instead.
- Languages and locales
- 300+ languages and 4,500+ dialects, quoted per locale rather than per language — because the dialect decides whether a dataset is usable, whether a market accepts a release, and which specialist the work goes to.
- Specialist network
- 110,000+ verified language specialists — linguists, annotators, and reviewers — plus voice talent and subtitlers, matched to the language, domain and task before assignment.
- Capacity and mobilisation
- Named availability confirmed per pair before scoping. Coverage is reported as staffed today or needing a recruitment window, in writing, before a launch date or release window is agreed.
- Sourcing constraints
- Specialists can be sourced against geographic, residency, locale and demographic requirements — including native-only, in-country, and speaker-diversity quotas where a data programme demands them.
- Deliverables and specs
- Work is delivered to the receiving specification: structured formats and schemas for data and annotation work, and timed-text, audio and platform conformance for media — subtitle reading speed, line limits, cue timing, channel and sample-rate requirements included.
- Comparable work
- 62 documented case studies stating the scope, the constraint that made it difficult, and the measured result — across AI data programmes, partner overflow, and media releases. 2,000+ AI projects delivered and 1,000+ brands served since 2015.
- Certifications
- ISO 9001:2015 quality management, ISO 27001:2022 information security, and ISO 17100 translation services — scoped to translation specifically, and stated that way rather than implied across every line.
- Commercial basis
- Quoted in the unit the work is measured in — per word, per audio hour, per approved hour, per finished minute, per batch, per item — with what the unit includes stated alongside it, whether the quote is for you or for a client you quote onward.
Need this against your own template? Convert your scope between units and check the deadline, then send the brief with your language list, content type, volume and deadline, and the acceptance criteria you will judge the output against — those four decide feasibility, and the reply addresses them directly.