Buyer guides
Longer vendor-evaluation playbooks for annotation, interpretation, multimedia, and rare-language translation.
Open buyer guidesBuyer guides, field notes, and case evidence in one place
Start with practical guides, field notes, and proof paths that help a team judge review depth, language readiness, security, and launch risk before sending a brief.
About this page
Built for AI/ML, LSP, and media buying committees.
300+ languages
1,000+ organizations served since 2015 across AI data, translation, localization, media, and interpretation.
Pick the question your buying committee is trying to answer
Each path keeps the evidence close to the buyer decision: vendor fit, review model, risk, security, or proof.
Field notes
Short operating reads on QA, rare-language sourcing, AI data review, media QC, and regulated content.
Open field notes
Case evidence
case evidence records by challenge, response, outcome, and delivery constraint.
Open case evidenceProjects relevant to your work
See what each project involved, what we delivered and the results.
Translation and LSP support257,000 words across 8 rare languages and 4 scripts in 10 days.
Rare-language TEP surge
The challenge. A technology buyer needed translation, editing and proofreading for a fixed product launch.
What we did. MoniSa delivered rolling batches with script-specific checks, independent editing and final proofreading.
The result. The client received reviewed batches every two days, with sample review and controlled corrections.
Discuss a similar project
Start a projectRare-language evaluation set
Problem. A technology company needed evaluation work in languages where qualified translator pools can be extremely small.
Action. MoniSa assigned separate evaluation reviewers, built contingency backup per language, and tracked delivery by language cluster.
Result. The evaluation set moved through controlled delivery with language-specific backup coverage.
AI audio data pipeline
Problem. An AI company needed transcription, labeling, and segmentation across languages with limited existing resource pools.
Action. MoniSa combined in-country sourcing, peer review, senior review, and rolling monthly batches.
Result. The client received multilingual audio data batches measured against its own benchmark set and acceptance notes.
What buyers need to see before approval
See the materials and specialist work involved in this service.
Vendor evaluation
Compare reviewer calibration, security, quality checks and relevant project experience.
Planning rare-language work
Check language availability and recruitment needs before setting the schedule.
Preparing media for release
Questions to ask about timing, quality checks, metadata and final files.
Resources questions
Who are these buyer guides written for?
People responsible for choosing and running a language or AI-data vendor — procurement, localization, and AI programme owners — rather than for linguists. They cover what to ask, what to verify, and where programmes quietly fail, not how translation is performed.
How is a buyer guide different from a service page?
A service page describes what a vendor sells. A buyer guide describes how to evaluate anyone selling it, including the questions that are inconvenient to answer. They exist for different moments: one for when you know what you want, the other for when you are still deciding.
Can these guides be used to evaluate other vendors?
Yes — they are written to be vendor-neutral wherever the subject allows it. The checks that expose a weak language programme are the same whoever runs it, and a buyer who applies them consistently gets a comparable answer from everyone asked.
Tell us about your project
Include your language pairs, content type, volume, deadline and review requirements.
Send a brief