AI Data & Language Services · US-based · ISO 9001:2015 · ISO/IEC 27001:2022
Ship multilingual work that holds up when it's checked.
For AI data and language work across 250+ covered languages, define who produces it, how it is checked, and what evidence you need. DD checks pair fit before quoting.
Two domains · one quality discipline
One US partner for the data that trains AI, and the language work that ships it.
For AI / ML & data-ops teams
AI Data Services
- Multilingual annotation & labeling · 250+ languages
- Model-output evaluation & RLHF
- Speech & multilingual transcription data
- Batch quality measures and reports scoped to your data
For enterprise language buyers
Language Services
- Certified & document translation
- Interpretation · phone, video, on-site
- Subtitling, SDH, dubbing & voice-over · vetted talent & studios
- Localization & transcription
Popular: USCIS certified translation · Legal document translation · Medical document translation
Explore Language Services →Run a language company? Request partner support for a specific language requirement.
Language coverage · native scripts
250+ languages covered. DD checks each pair and deadline before quoting; media talent and studio fit is checked per project.
Data discipline · scoped to the batch
Built to pass vendor review
One quality discipline. Both domains.
For work that needs independent review, define producer and reviewer roles, acceptance checks, and the record your team will receive in the written scope.
Review roles
Name the producer, reviewer qualification, and review sample or full-pass requirement for the work.
Useful records
Agree which error categories, batch measures, and delivery notes your own vendor audit needs.
Clear coordination
Confirm the contact, decision owner, and who handles urgent issues for the specific program.
What DD can show before a buyer commits.
This is not a public case study claim. It is DD-owned evidence a buyer can request when the work needs vendor review before a scope is approved.
Ask for proof details- Buyer type
- Enterprise buyer, AI data lead, vendor manager, or language-company operations owner comparing DD against a roster.
- Problem
- The buyer needs one accountable DD option for multilingual files, sessions, media, localization, or AI data before a quote is accepted.
- Scope
- AI data and language services across 250+ languages, including documents, interpretation, media, localization, and data review.
- Constraint
- No public DD case study is published yet, so the buyer needs evidence without borrowed proof or unrelated-company claims.
- DD action
- DD checks the request and confirms the proposed coordination contact, open questions, review method, and available artifacts in a written scope.
- Evidence available
- Private proof can include redacted scope notes, QA summary format, delivery record format, sourcing notes, and access-control checklist.
- Outcome
- The buyer can compare DD against a vendor roster using process artifacts and written controls instead of generic sales claims.
- Disclosure status
- DD-owned proof only. Public case details require client approval; private artifacts can be shared when disclosure terms allow.
Send the work that has to hold up.
Send a language list, batch spec, or non-sensitive sample. DD will review the request and confirm a proposed scope, coordination contact, and approach in writing.
Request a scope → Or call (407) 537-2522 · ISO 9001 / 27001 / 17100