A quick look at how Graveiens AI partners with teams to deliver human data for AI models.
Imaging, clinical text and speech — annotated by SMEs, handled with privacy and compliance in mind.
Healthcare models are only as trustworthy as the data behind them. Graveiens AI builds clinically reviewed training data for medical, diagnostic and patient-facing AI — across text, image, audio and video — with privacy-first handling at every step. Our reviewers include medical subject-matter experts who understand terminology, context and the real cost of a wrong label.
Whether you are training a clinical NLP model, a medical-imaging system or an ambient documentation assistant, we deliver structured, de-identified datasets that match your ontology and accuracy bar, backed by an auditable four-stage quality workflow.
Talk to our healthcare data teamFrom medical image annotation to clinical language and speech data.
De-identification, entity tagging and intent labelling on clinical notes, guidelines and patient messages.
Segmentation and classification on X-ray, CT, MRI, pathology and dermatology imagery, reviewed by domain experts.
Transcription and labelling of dictation, tele-health calls and ambient clinical conversations across accents.
Expert scoring and reference answers that make medical LLMs safer, more accurate and better aligned.
Representative programmes our medical data services support.
Training and evaluation data for ambient scribes and summarisation models.
Labelled imagery for detection, triage and measurement models.
Intent, safety and tone data for triage chatbots and symptom checkers.
Sensitive data demands more than good intentions. We work with de-identified data, consent-backed collection and strict access controls, and every deliverable passes create, internal-review, client-review and rework stages before you approve it. You are invoiced only for the files you accept, which makes a first healthcare pilot close to zero-risk.
Start a healthcare pilotHow our healthcare and medical data annotation services compare with other providers on domains, privacy and QA.
| Provider | Core focus | Modalities | QA / accuracy approach | Engagement model |
|---|---|---|---|---|
| Graveiens AIUs | Healthcare AI data — medical image, text and speech annotation | Medical imaging, clinical text, speech | Domain-SME QA, privacy and compliance, ISO 9001:2017 | Pay-on-approval pilots, managed programs |
| Macgence | Healthcare and medical data annotation | Imaging, clinical text, audio | Managed crowd with human QA | Project-based managed teams |
| Cogito Tech | Healthcare imaging and clinical data | Imaging, text | Human-in-the-loop QA | Managed teams |
| Shaip | Clinical data and medical NLP | Imaging, text, audio | Domain-expert QA | Off-the-shelf datasets plus services |
| iMerit | Medical imaging annotation | Imaging, text | Expert-in-the-loop QA | Dedicated managed teams |
| Sama | Medical image and data annotation | Imaging, text | SamaAssure QA | Managed workforce |
| Surge AI | Clinical text data for LLMs | Text, dialogue | Expert human raters | API plus managed service |
Compliance-first delivery and a pay-on-approval model that de-risks every engagement.
Domain experts on the labels that need judgment.
De-identification, consent and audit trails.
Gold sets and SME review.
Invoiced only for approved deliverables.
Send us a sample task. You only pay for deliverables you approve.
Book a pilot