Proof hub
Evidence before a vendor claim.
Start with case studies, buyer guides, and service evidence that helps a buying committee compare fit before sending a brief.
Case examples, buyer guides, and service routes stay connected so proof is easy to inspect.
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
Proof scale
300+ languages 1,000+ brands served since 2015 across AI data, translation, localization, media, and interpretation.Delivered volume
What we have actually delivered, by data type.
Completed work across AI data programmes since 2015, not capacity estimates. Every engagement is covered by its own agreement, so totals are shown without naming clients. Ask for the modality closest to your programme and we will walk you through how that work was scoped, reviewed, and accepted.
Platform evidence
Proof includes the operating layer behind the outcome.
Review the system that holds schema versions, calibration, acceptance decisions, and delivery history together.
Inspect the platformProof paths
Choose the evidence your buying committee needs.
Use case studies for delivery evidence, buyer guides for vendor qualification, and service pages for scope fit.
Case studies
Review selected language and AI data engagements by challenge, response, outcome, and operating constraint.
Open case studiesBuyer guides
Compare vendors with questions on security, reviewer fit, calibration, language coverage, and acceptance evidence.
Open buyer guidesService evidence
Map the proof to translation, localization, interpretation, multimedia, or AI data service requirements.
Open servicesCoverage evidence
Rare-language capacity starts with a network you can verify.
110+ rare and indigenous pairs sit inside a network of 110,000+ verified language specialists, built and maintained by MoniSa.
Inspect the networkProof of work
Proof close enough to challenge.
Each record keeps the useful detail: the challenge, what we did, the quality controls, and the scoped outcome.
Buyer questions
Ask the questions weak vendors avoid.
Short answers for buyers checking fit, coverage, quality method, and next-step readiness.
What should count as proof when evaluating a language vendor?
Work matching your content type, language difficulty, and outcome — documented with the scope, the constraint, and the result. Aggregate volume is not proof: total words delivered says nothing about whether a vendor has handled a problem like yours.
Why are client logos not used as proof here?
A logo shows a relationship existed. It says nothing about what was delivered or how it went, and confidentiality terms usually prohibit displaying it anyway. Documented cases stating scope, constraint, and result carry more information and can be interrogated, which a logo wall cannot.
How can a buyer verify a vendor’s claims before signing?
Ask for the claim’s unit and scope — what the number counts, over what period, for what kind of work — and for a documented case where the same claim held. A claim that cannot be restated precisely enough to check is not one to rely on.
Next step
Send the details that decide the quote.
A useful brief names the language, content, deadline, review depth, and proof the buying team needs.
Production-ready brief
01Language pair, dialect, and script02Content or data type03Volume and deadline04QA and reviewer requirement05Security and access requirement06Proof needed for buyer 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.