Medical image annotation and collection across chest X-ray, MRI/DICOM, and dental, produced by domain-matched annotators under strict QC, consent, and confidentiality controls.
A missed finding or a mislabeled organ isn't a bug report. It's a clinical risk. Ground truth has to be expert-validated, consistent, and auditable.
Classification and labeling grounded in clinical guidelines, reviewed against your exact taxonomy and annotation guide.
Anatomical segmentation for MRI, CT, and DICOM studies, where structure boundaries must be pixel-accurate.
Multi-tier QC with full traceability. Every label is reviewable, every batch reported with accuracy metrics.
Every modality below has been delivered in production work, anonymized under NDA.
Findings classification, bounding boxes, and multi-label labeling.
Organ segmentation, keypoint labeling, and slice-level QC.
Tooth structure, pulp chamber, and canal labeling.
Records, reports, and lab-result text extraction and structuring.
Consent-first medical and health-adjacent data collection where applicable.
Independent review layers with documented acceptance rates.
Annotators matched to modality and trained on your guidelines before touching production data.
Every project starts with confidentiality agreements covering your data, guidelines, and models.
Documented consent management and India data residency for sovereign-data-friendly programs.
Automated validation plus expert human review. No batch ships without passing internal QC.
Small representative batch first so you validate accuracy against your own criteria before committing.
Label-level traceability and batch-level reporting for every deliverable.
Send a small sample batch, we'll label it against your guidelines and return it with a full quality report and quote.
Request a PilotClinical imaging across modalities including MRI and DICOM, with organ-level segmentation and labeling for healthcare AI pipelines, anonymized under NDA.
Yes. Every engagement is NDA-first with controlled access, India data residency, and documented consent management.
Real clinical imaging across modalities, delivered in production work and anonymized under NDA, with annotation and collection across imaging.
Ground truth is expert-validated, consistent, and auditable, because a missed finding or a mislabeled organ is a clinical risk, not a bug report.
Yes. The controls page documents a setup built for regulated buyers, and a pilot on your own data is the standard first step.
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