See The Difference
Clinical-Grade Annotation in Action
Comprehensive annotation by licensed dentist—caries detection, impacted teeth identification, periapical lesions, and severity classification with precise bounding boxes.
The only annotation partner built exclusively for dental AI—powered by licensed dentists, not crowdsourced labor.
Request Sample AnnotationsThe Problem
Your AI is only as good as your training data. Yet most dental AI companies settle for solutions that create more problems than they solve.
General-purpose annotation farms with zero clinical training. Workers who can't distinguish a periapical lesion from an artifact.
Building in-house means hiring clinical staff, managing annotators, and diverting your team from product development. Most companies underestimate the overhead.
Generalist services spread thin across every domain. They label dental the same way they label satellite imagery.
Our Solution
Labrix combines clinical expertise with scalable annotation operations—delivering training data that meets the standard your models require.
All annotators are practicing dentists—BDS and MDS-qualified professionals with clinical diagnostic experience. No students. No crowdsourced labor.
Comprehensive schema covering caries, periapical lesions, bone loss, restorations, implants, and anatomical landmarks—built on FDI standards.
Consensus-based review pipelines designed for 99%+ inter-annotator agreement. Because one labeler's opinion isn't ground truth.
Infrastructure built to process tens of thousands of images monthly while maintaining clinical-grade consistency.
See The Difference
Comprehensive annotation by licensed dentist—caries detection, impacted teeth identification, periapical lesions, and severity classification with precise bounding boxes.
Full-Spectrum Coverage
Why Labrix
| Labrix | Crowdsourcing | In-House | |
|---|---|---|---|
| Licensed Dentist Annotators | ✓ | ✗ | Sometimes |
| Dental-Specific Schema | ✓ | ✗ | Varies |
| FDA Documentation Support | ✓ | ✗ | ✓ |
| Fast Turnaround (5-7 days) | ✓ | ✓ | ✗ |
| Cost Effective | ✓ | ✓ | ✗ |
| Scales With Your Needs | ✓ | ✓ | ✗ |
How It Works
Upload via secure transfer. We handle de-identification if needed.
Licensed dentists label with multi-stage QA. Typical turnaround: 5-7 business days.
Annotations in your format of choice—COCO, YOLO, Pascal VOC, or custom.
What You Get
Every project includes comprehensive documentation—not just raw annotations. Here's what you receive:
COCO JSON, YOLO, Pascal VOC, CSV, or custom schema. We deliver in whatever format your pipeline requires—no conversion needed.
Inter-annotator agreement scores, accuracy metrics, and QA summary. Documentation your team can reference and your compliance auditors will appreciate.
Detailed notes on ambiguous cases and how they were resolved. Critical for understanding model behavior and refining your labeling guidelines.
Complete traceability for every annotation decision. Who labeled what, when, and how it was verified. FDA submission-ready documentation.
Data Security
Medical imaging data requires serious security. Our infrastructure and processes are designed for the sensitivity of healthcare AI development.
All data encrypted in transit (TLS 1.3) and at rest. Secure file transfer protocols for all uploads and deliveries.
Processes designed with HIPAA requirements in mind. Business Associate Agreements (BAA) available for covered entities.
Role-based permissions ensure only authorized annotators access your data. No crowdsourced workers with uncontrolled access.
Your data deleted upon project completion—or retained per your requirements. You control the retention policy.
We strip protected health information before annotation—patient names, dates, and identifiers removed. Clean, HIPAA-compliant datasets ready for training.
Common Questions
All annotations are performed by licensed dental professionals—BDS and MDS-qualified dentists with clinical diagnostic experience. We do not use crowdsourced labor, dental students, or non-clinical workers for annotation tasks.
Our multi-stage QA process is designed to achieve 99%+ inter-annotator agreement on standard dental pathology categories. Specific accuracy SLAs are established per project based on annotation complexity and clinical requirements.
Yes. While we maintain a comprehensive proprietary schema covering 111+ dental categories, we regularly adapt to client-specific labeling requirements and can integrate with your existing annotation guidelines.
We operate under HIPAA-aware protocols and execute BAAs with covered entities. All data handling follows healthcare industry standards for protected health information, including encryption and secure transfer protocols.
Typical turnaround is 5-7 business days for standard projects. We can accommodate rush requests with expedited timelines. Large volume projects are scoped with custom delivery schedules.
Who's Behind Labrix
Founder
After years building AI systems and healthcare technology at scale, I kept seeing the same problem: dental AI companies forced to choose between expensive in-house labeling or unreliable crowdsourced data. Labrix exists to solve that—combining clinical expertise with the operational rigor these teams actually need.
Clinical Advisor
Dr. Singh brings hands-on clinical expertise to Labrix's annotation standards. As a practicing dentist and practice co-owner, he ensures our labeling protocols reflect real-world diagnostic accuracy—the kind that matters for AI applications in clinical settings.
Clinical Advisor, International
Licensed to practice in the United States, Canada, and India, Dr. Singh brings a global perspective to Labrix's quality standards. His international background ensures our annotation protocols meet both US clinical requirements and leverage the strengths of our global dental professional network.
Get Started
Tell us about your project and we'll send sample annotations on your images—or ours. No commitment, no pitch deck.