AI Data & Language Services · US-based · ISO 9001 · 27001 · 17100
Ship multilingual work that holds up when it's checked.
The data that trains your AI, and the content you ship to market, produced with independent review and documented at every step across 250+ languages.
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
- Per-batch quality metrics, documented
For enterprise & language-company partners
Language Services
Use the partner option instead of the public-buyer choices.
- Certified & document translation
- Interpretation · phone, video, on-site
- Subtitling, SDH, dubbing & voice-over · 3,000+ talents
- Localization & transcription
Language coverage · native scripts
250+ languages in production, plus a 3,000+ voice-talent and 100+ studio network for media.
Data discipline · every batch
Built to pass vendor review
One quality discipline. Both domains.
Separation of roles is the core control: the person who produces the work never reviews it. Each translation has an independent reviewer, and each data batch has a separate annotator and reviewer.
Independent review
Never self-checked. A second qualified person reviews against documented error categories before release.
Documented, not verbal
Error categories and per-batch quality metrics follow the file, available for your own vendor audit on request.
One PM · under your brand
A single named program manager per engagement. Partner work delivered under your brand, no client-facing footprint.
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 returns a written scope, PM assignment, open questions, review process, and artifact request process before production work begins.
- 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.
A sample file, a language list, or a batch spec is enough. We return scope, a named PM, and an approach in writing before anything starts.
Request a scope → Or call (407) 537-2522 · ISO 9001 / 27001 / 17100