AI data
Collect, label and review the text, speech, images and video your models need.
Language services and AI data.
Translation, localization, interpreting, multimedia and AI data services. Find the work you need, then explore the service in detail.
Our services
What do you need help with?
Find the work you need, then explore how we approach it.
Translation
Translate documents with attention to meaning, terminology and the format people use.
Localization
Adapt products and content to the language, culture and space of each market.
Interpreting
Connect people in live conversations, in person, by phone or over video.
Multimedia
Bring video and audio to new audiences through subtitles, captions and voices.
Specialist practices
Language quality and creative consulting.
Advanced linguistic services
Linguistic quality assurance (LQA) built on the MQM (Multidimensional Quality Metrics) framework, with glossary governance and validation, so multilingual teams get a quality standard they can measure. Framework reference: MQM Council, The MQM Error Typology (accessed 16 October 2026).
Explore Advanced linguistic servicesProject details for Advanced linguistic services
MQM-based LQA, terminology governance, linguistic validation, and content auditing for multilingual programs that need measurement, not guesswork.
- Typical work
- LQA, terminology management, linguistic validation, language assessment, and multilingual content auditing
- Review focus
- Scoring framework setup, reviewer calibration, glossary control, issue clustering, and documented corrective action
- Best fit
- Localization teams, language QA owners, product teams, and multilingual programs with measurable quality requirements
- Delivery model
- Framework-led review in structured batches with score visibility and feedback loops into the next cycle
- MQM-based LQA
- Reviewer calibration
- Validation before launch
Creative consulting
Transcreation, cultural consulting, and multilingual SEO content for campaigns that need local-market traction without losing the brand signal. For cultural adaptation in localization: W3C Internationalization, Localization vs. Internationalization (accessed 18 October 2026).
Explore Creative consultingProject details for Creative consulting
Transcreation, cultural consulting, multilingual copywriting, and native-market SEO content for campaigns that need traction in-market, not literal translation.
- Typical work
- Transcreation, cultural consulting, multilingual copywriting, multilingual SEO content, and technical writing support
- Review focus
- Brief alignment, cultural review, voice consistency, keyword intent checks, and final launch review
- Best fit
- Brand, content, and international teams launching campaigns or content across multiple markets
- Delivery model
- Brief-led adaptation with native-market writing, review rounds, and reusable style guidance
- Transcreation
- In-market review
- Native-market SEO
case evidence
Projects relevant to your work.
Proof from different service lines, so you can see real delivery across the work types MoniSa runs.
AI audio data pipeline
The challenge. An AI company needed transcription, labeling, and segmentation across languages with limited existing resource pools.
What we did. MoniSa combined in-country sourcing, peer review, senior review, and rolling monthly batches.
The result. The client received multilingual audio data batches measured against its own benchmark set and acceptance notes.
Recognise your own project in one of these?
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Translation and LSP support257,000 words across 8 rare languages and 4 scripts in 10 days.
Rare-language TEP surge
Problem. A technology buyer needed translation, editing and proofreading for a fixed product launch.
Action. MoniSa delivered rolling batches with script-specific checks, independent editing and final proofreading.
Result. The client received reviewed batches every two days, with sample review and controlled corrections.
Media and metadataFixed-window OTT rare-language sprint.
OTT rare-language sprint
Problem. A streaming team needed subtitle, dubbing, and metadata work to land for a fixed release window.
Action. MoniSa handled subtitles, dubbing support and metadata in parallel, checking timing and language before client handoff.
Result. The release package moved through timing, language, and metadata checks before client review.
Medical interpretation deployment
Problem. A healthcare interpretation program needed medically screened interpreters who could work safely across remote modalities.
Action. MoniSa ran eliminatory screening across platform setup, healthcare knowledge, oral assessment, and performance review.
Result. Only deployment-ready interpreters moved into the live program, with ongoing monitoring after go-live.
Interpreter deployment program
Problem. An interpretation platform needed live-session interpreters who could clear sourcing, assessment, onboarding, permissions, and deployment quickly.
Action. MoniSa ran a staged interpreter pipeline with compliance checks, platform onboarding, and monitored launch sessions.
Result. The platform received interpreters who were ready for live operations rather than only language-qualified on paper.
Prompt safety evaluation
Problem. AI platforms needed language-aware safety evaluation across many pairs where cultural harm and bias do not read the same way.
Action. MoniSa deployed evaluator cohorts, calibration sets, and drift checks across rolling rating batches.
Result. The client received multilingual safety data that engineering teams could use to refine model behavior.
Working together
From your brief to the finished work.
Agree the details before work starts. Stay involved where your input matters. Receive files prepared for their intended use.
Tell us about the project
Share the languages, source files and deadline. We agree what the finished work needs to include.
Work with the right specialists
Linguists use the agreed terminology, style and file formats for the audience you need to reach.
Review and refine
The work is checked, corrections are made, and outstanding questions are resolved before delivery.
Receive the finished work
You receive the agreed files and review notes, with a clear point of contact for feedback.
Who this is for
For your team.
- VP Data Ops
- Needs language coverage, throughput, and quality controls for multilingual data.
- LSP vendor manager
- Needs rare-language capacity without exposing the end client.
- Media localization lead
- Needs subtitle, dubbing, metadata, and QA workflows to meet a release date.
Quality method
Quality starts before the first batch moves.
MoniSa uses a three-layer system: pre-production gates, in-production controls, and post-delivery review.
Screen
Profile review, nativity verification, domain questionnaire, screening call, sample task.
Calibrate
Every assigned team works against the same calibration items before production volume starts.
Pilot
The first batch is reviewed deeply so instruction drift is caught before scale.
Review
Sampling, senior review, agreement checks, and same-day feedback loops run during production.
Escalate
Critical errors trigger pause, recalibration, replacement, or operations-lead escalation.
Learn
Client feedback feeds back into resource profiles, glossary rules, and the next batch.
Company-wide language coverage
Availability and specialist fit are confirmed for each project.
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
110+
rare, indigenous and low-resource languages
1,000+
organizations served since 2015
Buyer questions
Common questions.
How do I know which service line my project belongs to?
By what defines correctness. If a source text determines whether the output is right, it is translation or localization work. If a task specification and acceptance criteria determine it, with no source to check against, it is AI data work. Projects containing both need that boundary agreed before scoping rather than after.
Can services be combined in one engagement?
Yes, and mixed programmes are common — a localization release with subtitle QC attached, or a data collection stream with evaluation alongside it. What matters is settling which acceptance criteria govern which deliverable early, because mixed programmes fail at the seam rather than inside either half.
What is the difference between localization and translation in practice?
Translation carries meaning across a language boundary. Localization additionally adapts everything around the meaning — format, units, layout constraints, regulatory wording, cultural fit — so the result works in the target market rather than merely reading correctly in the target language.
What happens if you cannot staff one of my language pairs?
For the proposed project, ask for pair-by-pair availability or a recruitment window in writing before agreeing a date. Define qualification and pilot approval for any new contributor before live work. A coverage claim should be checkable before the scope is signed.
Service brief
Start a brief with the service line already narrowed.
The fastest services conversation starts with the primary work type, the production volume, and the review model you need.
Send a brief