Data Annotation
Human-verified labelling across image, text, audio and video — bounding boxes, transcription, classification and the edge cases your models actually need.
- Vision & LiDAR
- Speech & transcription
- Double-pass QA
Data-AIs-Futures supplies the labelled data, language-model expertise, ready-made AI products and specialist people that teams need to ship AI that holds up in production.

What we do
Use one service or all four — the same delivery team, quality standards and reporting apply across every engagement.
Human-verified labelling across image, text, audio and video — bounding boxes, transcription, classification and the edge cases your models actually need.
Prompt design, fine-tuning, RAG pipelines and human evaluation. We build language systems that stay accurate once real users arrive.
Ready-made datasets and deployable AI tools for document extraction, speech and vision. Integrate in days instead of building from zero.
Annotators, linguists, ML engineers and project leads — screened, trained and matched to your stack, embedded with your team or fully managed.
How it works
We map your data, quality bar and timeline in a short discovery call.
A paid pilot batch proves accuracy and throughput before you commit.
Dedicated teams, weekly reporting and a quality gate on every delivery.
Why teams choose us
Every batch passes a second reviewer before it reaches you, and you see accuracy, throughput and open questions in a weekly report. Sensitive projects run under NDA with access controls and secure workspaces.
Two reviewers on every delivered batch.
NDA, access control, audit trails.
60+ languages across every time zone.
Ramp from a pilot to millions of items.
Industry expertise
We match every project with people who understand the language, subject matter and quality standard behind your use case.
Precise image, video and LiDAR annotation for perception and navigation models.
Specialist-reviewed medical text and imaging data with controlled workflows.
Product classification, search relevance and multilingual catalogue enrichment.
Document extraction, evaluation and domain-aware language data at scale.
Recent work
Every engagement starts with a clear quality target and ends with delivery data your team can verify.
A verified dataset and evaluation set designed to improve field-level accuracy on difficult scans.
Native-language teams transcribed and reviewed noisy customer-service audio across eight markets.
Human raters tested quality, tone and harmful edge cases against a custom evaluation rubric.
One team, global reach
“The right people, clear quality controls and delivery that keeps pace with your roadmap.”
Dedicated project leadership connects your team with trained specialists across languages, time zones and data types.
Send us a short brief and we'll come back within one business day with an approach, timeline and price.