Service lines

Choose by the failure you cannot afford.

Match the work to what must not fail: training data, translation, product localization, media files, or live interpretation. MoniSa scopes reviewer fit, QA depth, and acceptance notes before production starts.

Product localization is not a synonym for translation. The definition lives in what localization means in business; statements of work stay on the service pages below.

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For AI/ML teams, enterprise LSP partners, and media teams that need multilingual work to land cleanly.

110,000+ verified language specialists

300+ languages across active service lines

4,500+ dialects and regional variants

110+ rare and indigenous language pairs

1,000+ brands served since 2015

MoniSa team running language and AI data services across translation, localization, multimedia, and interpretation. — Buyer map
**Five ways to get multilingual work done** Compare fit, proof, inputs, and the next useful brief across AI data, translation, localization, multimedia, and interpretation.

Service architecture

Choose by the failure you cannot afford.

Each service connects the use case, proof fit, specifications, review needs, and buyer questions.

AI Data Services

Collection, annotation, transcription, evaluation, segmentation, and human review of AI outputs.

When multilingual model quality depends on difficult language coverage.

Typical inputs. Text, audio, image, prompt, metadata, evaluation rubrics
Controls. Calibration set, benchmark review, inter-annotator agreement (IAA) checks, senior escalation
Best fit. Model evaluation, ASR, safety review, multilingual training data, rare-language collection

Rolling multilingual AI data batches measured against the client-provided benchmark set and acceptance rules.

Open service

AI Data Annotation Services

AI data annotation and labeling workspace with multilingual review and project tracking in view.

Multilingual image, text, audio, and video labeling at rare-language scale: bounding boxes, segmentation, NER, sentiment, classification, and transcription labeling across 300+ languages and 4,500+ dialects.

When a model needs labeled data in rare, low-resource, or dialect-heavy languages where no off-the-shelf bench of native reviewers exists.

Typical inputs. Images, video frames, raw text, audio clips, an annotation guideline, a label taxonomy, edge-case examples
Controls. Gold set, IAA checks, reviewer independence, guideline versioning, ambiguous-case escalation
Best fit. Data annotation company work, data labeling, bounding boxes and segmentation, NER and sentiment and classification, multilingual transcription labeling

confidential labeling records show a written annotation guideline, reviewer independence, and inter-annotator agreement (IAA) checks before any batch is scaled, including pairs with extremely limited linguist availability globally.

Open service

AI Training Data Services

Building, collecting, and structuring multilingual training datasets across speech, text, image, and audio, specializing in rare and indigenous languages where no clean, rights-cleared dataset exists yet.

When a model needs training examples in rare, low-resource, or indigenous languages, dialects, or scripts that no off-the-shelf dataset covers.

Typical inputs. Data spec, target languages and dialects, schema, format rules, seed prompts or scenarios, consent and licensing requirements
Controls. Source vetting, native-speaker creation, schema and format validation, deduplication, sampling review
Best fit. AI training data services, multilingual training data, speech and audio collection, text dataset creation, low-resource language coverage

confidential dataset records show structured collection, native-speaker creation, and format validation against the schema the model team supplied, including languages with extremely limited linguist availability globally.

Open service

Prompt Evaluation Services

LLM prompt creation, model output evaluation, and RLHF-style human feedback with native-speaker judgment in the languages your model actually serves: rating, ranking, and reviewing responses against a written rubric.

When a model reads well in English but its outputs in rare, low-resource, and culturally distinct languages need native judgment on accuracy, safety, and tone before release.

Typical inputs. Model outputs or prompt-response pairs, a scoring rubric, rating scale, safety policy, target languages, gold examples
Controls. Rubric calibration, independent raters, IAA on a pilot, disagreement adjudication, senior escalation
Best fit. Prompt evaluation, LLM evaluation, RLHF data, response rating and ranking, multilingual safety and toxicity review

confidential evaluation records show a written rubric, independent raters, and senior adjudication on disputed scores across multiple languages, including pairs few vendors can staff with qualified native raters.

Open service

By evaluation type: LLM Evaluation, AI Red Teaming.

Translation Services

Human translation services with editing, proofreading, MTPE, terminology management, and script-specific QA for buyer-facing content.

When the work involves rare pairs, regulated content, mixed scripts, or a launch window that cannot wait for ad hoc sourcing.

Typical inputs. Product UI, training content, legal-lite documents, marketing copy, help centers, bilingual files
Controls. Translator, editor, proofreader, terminology owner, script and RTL checks, senior escalation
Best fit. Rare-language translation services, Arabic dialect projects, regulated content support, high-volume TEP

767,473 words processed across 12 South Asian languages in one month, run through parallel language pods, script-specific QA, and senior review. Records stay so client names are not published.

Open service

By document type: Document, Certified, Medical, Legal, Technical.

Localization Services

Product, app, web, learning, game, commerce, and market adaptation workflows.

When the content has to feel native, fit the product, and stay consistent across markets.

Typical inputs. Websites, apps, learning modules, product UX, campaign assets, help centers
Controls. Style guide, glossary, UI-fit review, locale review, post-delivery feedback capture
Best fit. Market launches, ongoing content operations, high-volume localization

1,000+ brands served since 2015 across language and AI data programs.

Open service

By content type: Game Localization.

Multimedia Services

Subtitling, captioning (including SDH), dubbing support, voiceover, audio description, metadata, DTP, and audio QC.

When subtitle timing, dubbing support, metadata, and language review have to land together.

Typical inputs. Video, audio, scripts, subtitle files, metadata sheets, DTP assets
Controls. Timing QC, linguistic QC, format validation, native review, final media check
Best fit. OTT release windows, training video localization, multilingual media backlogs

Fixed-window media sprint delivered through timing QC, linguistic review, metadata checks, and client delivery closure.

Open service

By deliverable: Subtitling.

Interpretation Services

Remote, on-site, OPI, VRI, simultaneous, consecutive, sign language (ASL and international), and medical/community interpreter sourcing.

When availability, dialect fit, and live risk matter more than a basic language match.

Typical inputs. OPI/VRI rosters, event coverage, community programs, healthcare assignments, ASL and international sign language for public-facing events, government communication, and accessibility compliance
Controls. Profile screen, language check, domain screen, live-readiness review, escalation path
Best fit. Rare-language assignments, surge rosters, sign language access, compliance-sensitive live communication

Rare-language healthcare interpretation roster built through staged screening and live-readiness checks.

Open service

Video Remote Interpreting Services

Interpreter access over a live video link for scheduled and on-demand sessions, including ASL and international sign language, with dialect fit, platform fit, and backup coverage confirmed before a session is booked.

When the exchange depends on something visible — a document, a device, an examination, a signed language — and an audio-only line would lose the meaning.

Typical inputs. Session type, language and dialect, date and timezone, expected duration, meeting platform, camera and connection conditions at each end, and who is authorised to join
Controls. Profile screen, language and dialect check, domain screen, platform and connection check, live-readiness review, named backup interpreter
Best fit. Clinical and community appointments, on-demand encounters, ASL and international sign language access, and any session where a document or object is on screen

Interpretation delivery records show staged screening, live-readiness review, and named backup coverage before a remote session is confirmed.

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Over-the-Phone Interpretation Services

Audio-only interpreting delivered on a phone line for scheduled and on-demand calls, with language and dialect fit, coverage windows, and backup arrangements agreed before a language goes live on the call path.

When a conversation begins with no interpreter on site, no notice, and a language the team did not plan for.

Typical inputs. Language and dialect list, call volume pattern, coverage hours and timezones, typical call length, the domain calls come from, and the escalation contact
Controls. Profile screen, language and dialect check, domain screen, call-handling brief, live-readiness review, escalation path
Best fit. Short unscheduled exchanges, after-hours coverage, high-volume front-line calls, and rare-language requests where a scheduled slot is more honest than an instant-connect promise

Interpretation delivery records show staged screening, dialect confirmation, and named backup coverage before a language is placed on a live call route.

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Medical Interpreter Services

A medical interpreter standing between a patient and a clinician in a patient room.

Sourcing, screening, and coverage for medical interpreters on site, over the phone, and over video, with credential evidence, dialect fit, and privacy briefing confirmed before a clinical session is booked.

When care depends on a language the clinical team does not speak, and a family member standing in is not an acceptable control.

Typical inputs. Setting and specialty, language and dialect, modality on site or phone or video, session length and notice, the credential and privacy training the setting requires, and the facility contact
Controls. Profile screen, language and dialect check, clinical-domain screen, credential evidence, confidentiality and privacy briefing, live-readiness review, named backup
Best fit. Appointments and admissions, consent and discharge conversations, telehealth encounters, rare-language and community coverage, and sign language access in clinical settings

A documented medical interpreter deployment shows staged screening, onboarding quality review, and live-readiness checks before interpreters reached clinical sessions.

Open service

Project flow

Fewer surprises after the brief.

A clear view of how your multilingual work is scoped, produced, reviewed, and delivered, so scope, review, and handoff expectations stay clear along the way.

Start a project brief

Source

Brief, language pair, file type, and deadline arrive together before the work is routed.

Localize

Native-market production runs with glossary, script, format, and reviewer fit visible in the same lane.

Final review

Reviewer check, senior sampling, and correction path stay connected before final files leave.

Acceptance pack

Final files leave with scope context, acceptance notes, and the best follow-up option for the next workstream.

Specialist practices

When the service label hides the real problem.

Advanced linguistic services is about measurable language quality governance. Creative consulting is about market-fit messaging, cultural review, and native-market search behavior.

Advanced linguistic services practice: Linguistic quality operations board.

01 Advanced linguistic services MQM-based LQA, terminology governance, linguistic validation, and content auditing for multilingual programs that need measurement, not guesswork.

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.

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

MQM-based LQAReviewer calibrationValidation before launch

Open practice

Creative consulting practice: Multilingual campaign planning workspace.

02 Creative consulting Transcreation, cultural consulting, multilingual copywriting, and native-market SEO content for campaigns that need traction in-market, not literal translation.

Transcreation, cultural consulting, and multilingual SEO content for campaigns that need local-market traction without losing the brand signal.

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

TranscreationIn-market reviewNative-market SEO

Open practice

Who this is for

Each stakeholder sees their risk.

Buyers need to see when the service fits, what can go wrong, and how review reduces rework.

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.

case evidence

Proof close enough to challenge.

Proof from different service lines, so you can see real delivery across the work types MoniSa runs.

AI data servicesRolling multilingual audio data pipeline across rare-language pools.

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.

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Recognise your own project in one of these?

Send the language list and volume

Translation and LSP supportRare-language TEP surge across multiple languages and scripts.

Rare-language TEP surge

Problem. A global technology buyer needed rare-language translation, editing, and proofreading at a speed that a normal vendor bench could not absorb.

Action. MoniSa activated language pods, separated script-specific QA, and staged production in parallel batches with senior review.

Result. The buyer received sprint-speed rare-language capacity with project-scoped quality review and a controlled correction lane.

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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 ran parallel language pods with timing QC, linguistic review, and metadata checks before client handoff.

Result. The release package moved through timing, language, and metadata checks before client review.

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InterpretationClinical interpretation roster built for live deployment readiness.

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.

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InterpretationFull-lifecycle interpreter deployment across multiple languages.

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.

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AI evaluationGenAI prompt safety review across multilingual rating lanes.

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.

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Buyer questions

Answers in writing, before you ask for a call.

The questions buyers send before a scope conversation, answered on the page rather than in a meeting. Take them to your team, then send us the one we did not answer.

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?

You are told before a date is agreed, not after. Coverage is reported pair by pair as staffed today or needing a recruitment window, with the window stated — in writing, while the scope is still being agreed. Nobody new goes onto live work until a pilot batch has been reviewed and signed off. A coverage claim you cannot check before signing is not coverage.

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.

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Production-ready brief

01Primary service line02Language or market scope03Source format and volume04Delivery deadline and milestone05Review depth or QA model06Security or access requirements