A quick look at how Graveiens AI partners with teams to deliver human data for AI models.
Data annotation (also called data labeling) is the process of tagging images, video, audio, text and 3D point clouds so machine-learning models can learn from them. As one of the data labeling companies built on a deep bench of trained annotators and subject-matter experts, Graveiens AI delivers image annotation and computer-vision labels, NLP tags, speech data and sensor-fusion annotation to a documented accuracy bar. Whether you need a one-off pilot or an ongoing labeling program across millions of items, we scale the workforce, tooling and QA to fit your ontology.
Start a labeling pilotFrom bounding boxes and image annotation to 3D point clouds and nuanced NLP labels, our trained annotators and SMEs handle the modalities and edge cases that decide model quality.
Depth-accurate segmentation and object labels on 3D point clouds for autonomous driving, robotics and spatial AI — with cross-sensor consistency and QA at every frame. Our LiDAR labeling and autonomous vehicle annotation teams handle multi-sensor scenes end to end.
Talk to usEntities, sentiment, intent and relationships labeled by trained linguists and domain SMEs — the subtle judgments that separate a usable dataset from a noisy one. Ask about multilingual image annotation and NLP labeling across 25+ languages.
Explore NLP annotationQuality is why teams choose Graveiens AI over generalist data labeling companies. Every batch runs through create, internal review, client review and rework, benchmarked against a gold-standard set, with SME reviewers on the labels that need real judgment. ISO 9001:2017 certified processes and a pay-on-approval model mean your annotation projects stay accurate, auditable and near zero-risk to trial.
See our processSee how our data annotation and labeling services compare with other data labeling and annotation providers on focus, modalities and QA.
| Provider | Core focus | Modalities | QA / accuracy approach | Engagement model |
|---|---|---|---|---|
| Graveiens AIUs | Human data services — data annotation, data collection, voice and LLM fine-tuning | Image, video, 3D/LiDAR, text, audio | Four-stage QA vs a gold standard, ISO 9001:2017 | Pay-on-approval pilots, managed teams |
| Macgence | AI training data and multimodal data annotation | Text, image, audio, video | Managed workforce, human-in-the-loop QA | Project-based managed teams |
| Cogito Tech | Data annotation and labeling workforce | Image, video, text | Human-in-the-loop review and workforce compliance | Managed annotation teams |
| Shaip | Healthcare-focused data and speech | Audio, text, image | Domain-expert QA | Off-the-shelf datasets plus services |
| iMerit | Enterprise data annotation and data operations | Image, video, geospatial, text | Expert-in-the-loop QA | Dedicated managed teams |
| Sama | Ethical AI data annotation | Image, video, sensor/LiDAR | SamaAssure QA, impact sourcing | Managed workforce |
| Surge AI | RLHF and LLM data labeling | Text, dialogue | Expert human raters | API plus managed service |
Compliance-first delivery and a pay-on-approval model that de-risks every engagement.
Create, internal review, client review and rework — measured against a gold-standard set.
STEM, medical, legal and finance experts on the labels that need judgment.
We adapt annotation tooling and guidelines to your ontology, not the other way around.
Invoiced only for approved deliverables — pilots are near zero-risk.
Send us a sample task. You only pay for deliverables you approve.
Book a pilot