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Retail & E-Commerce
AI-Driven Retail Starts With Precise, High-Quality Data
From product recognition to customer experience AI, Anotag delivers expertly annotated datasets that power modern retail intelligence.
Closer than ever to your next adventure
Things We Do
We help healthcare and life sciences organizations transform medical data into structured intelligence by annotating images, text, audio, signals, and multimodal datasets.
Our annotations enhance diagnostic accuracy, accelerate clinical workflows, and power the next generation of medical AI systems.
01
Medical Imaging Annotation
(DICOM, NIfTI, PNG, JPEG)
We annotate MRIs, CT scans, X-rays, ultrasounds, PET scans, and histopathology slides.
Our labeling covers organs, lesions, tumors, anatomical structures, segmentation masks, and clinically relevant abnormalities supporting diagnostic, surgical planning, and screening models.
02
Clinical NLP & Document
Annotation
We annotate patient records, clinical notes, lab reports, and medical transcriptions.
From entity extraction (diseases, medications, procedures) to sentiment analysis and temporal event mapping, our NLP datasets empower clinical decision support tools and health informatics platforms.
03
Biomedical Research &
Genomics Data Labeling
We structure and annotate scientific literature, protein sequences, biomarker data, drug responses, and trial datasets.
helping research teams accelerate discovery and validation.
04
Patient Behavior &
Monitoring Annotation
We label audio, video, and sensor data from patient monitoring systems (ICU cameras, wearable devices, remote care solutions).
This supports AI models for fall detection, symptom monitoring, rehabilitation tracking, and early risk prediction.
05
Surgical & Procedural
Video Annotation
We annotate laparoscopic, endoscopic, robotic surgery, and operating room footage identifying instruments, stages, organ boundaries, and surgical actions for advanced analysis and training.
06
Medical Device &
Robotics AI
We annotate imagery, telemetry, and depth data from medical robotics, diagnostic devices, and smart healthcare systems to improve real-time performance and patient safety.
OUR PROCESS
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01
Medical Requirement Review
We collaborate with clinicians or your ML team to understand workflows, imaging modalities, clinical targets, and annotation guidelines.
02
Schema & Standards Design
Taxonomies based on medical ontologies such as SNOMED CT, ICD-10, RadLex, UMLS, LOINC, and your custom requirements.
03
Annotation by Clinical Experts
Medically trained annotators and verified radiology specialists handle clinical datasets for maximum accuracy.
04
Multi-Stage Clinical QA
Each dataset passes expert review, abnormality detection, and gold-standard benchmarking, This ensures industry-leading accuracy for medical AI.
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05
Iterative Review & Clinical Alignment
Continuous refinement with your radiology leads, doctors, or biomedical teams ensures outcomes match real-world clinical expectations.
06
Secure Delivery & Integration
Delivered in DICOM XML, NIfTI masks, JSON, CSV, HL7/FHIR, or integrated directly into your clinical AI pipeline.
Why Choose Anotag
Driving personalization and product intelligence at scale.
01
Clinically Trained Annotation Teams
Radiology-specialized annotators ensure medically accurate labeling.
02
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Multi-Modal Medical Data Expertise
Images, text, signals, surgical video, and sensor data — fully supported.
03
Strict Healthcare Compliance
HIPAA, ISO, NDA, PHI-safe workflows with medical-grade privacy protocols.
05
Unmatched Precision for Clinical AI
Our QA systems deliver near-diagnostic accuracy for life-critical applications.
06
Scalable for Hospitals & MedTech AI
From research pilots to enterprise-level imaging datasets — we scale seamlessly.
06
Medical Flow Expertise
We design annotation processes that align with clinical realities and medical decision-making.
Safety & Compliance Standards
Designed for strict medical environments and protected health information (PHI).
HIPAA-Compliant Workflows
Secure handling of PHI across all annotation and delivery stages.
ISO 27001 Aligned
Global-standard data protection for clinical and imaging datasets.
NDA + Restricted Access
Only authorized medical annotation teams access sensitive files.
SOC 2 Ready
Audit-ready governance for enterprise healthcare compliance.
PHI Masking & De-Identification
Automatic redaction & compliance for patient confidentiality.
AES-256 Encrypted Transfers
End-to-end encryption for imaging files, EHRs, and clinical documents.
Our Impact in Retail AI
Boosting conversion with smarter retail AI insights.
1.1M+
medical images annotated
450K+
clinical notes & EHR datasets labeled
99.3%
accuracy in diagnostic imaging tasks
32%
faster annotation cycles
Build Healthcare AI
You Can Trust
Power diagnostic accuracy, clinical efficiency, and patient safety with expert-labeled medical datasets.
From imaging to clinical NLP, Anotag delivers the precision your healthcare models require.
Book a demo now and accelerate your medical AI development with confidence.
About the Industry Focus
AI is transforming healthcare — enabling faster diagnoses, automated workflows, personalized treatment, and intelligent clinical decision support.
But none of this is possible without accurate, compliant, domain-specific annotated data.
At Anotag, we specialize in structuring and annotating medical imagery, clinical documents, biomedical research data, sensor readings, and multimodal healthcare inputs.
Our medically trained annotators, radiology specialists, and clinical NLP experts annotate DICOM, NIfTI, text, audio, and video data in full compliance with HIPAA and global healthcare standards.
Whether you're building diagnostic imaging models, automating EHR workflows, or training clinical chatbots, Anotag provides precision-labeled datasets designed for life-critical AI.