Considering the substantial amount of annotated data, resources, and professional oversight to create usable datasets for medical AI, developers and data scientists can collaborate with expert data annotation vendors to develop high-quality training data. Here are the top medical image annotation companies to look out for in 2026.
Top Medical Image Annotation Companies 2026
Here are the leading medical image annotation companies based on workforce expertise, technology, and data security.
1. Cogito Tech
Cogito Tech’s Medical AI Innovation Hubs combine medical professional-led data annotation, operational excellence, and strategic partnerships to deliver high-quality, FDA- and HIPAA-compliant labeling that boosts diagnostic accuracy and accelerates AI development timelines. The company has delivered projects for major clients developing AI/ML models across specialties such as spinal, dental, neurological, cardiovascular, and biotech domains.
Cogito Tech brings together a global team of board-certified medical professionals across radiology, pathology, cardiology, surgery, and dentistry to benchmark and validate data across text (NLP), wave, and audio/video modalities. This multidisciplinary collaboration enhances labeling precision through domain-specific insights and mitigates bias by ensuring diverse, representative datasets for fair and effective AI models.
In addition to this collaborative expertise, Cogito Tech’s Innovation Hub leverages DataSum, a proprietary “Nutrition Facts” framework, to deliver transparent, precise, and compliant medical AI training data. While its HIPAA-compliant, FDA-ready workflows streamline regulatory clearances, the team maintains quality from pre-labeling to auditing and supports diverse medical data formats, including NRRD, NIFTI, and DICOM.
Key features
- Multidisciplinary team of board-certified medical professionals.
- Compliance with FDA, HIPAA, and other regulatory standards across healthcare settings.
- Format-agnostic support for NRRD, NIFTI, and DICOM across X-rays, MRIs, ECG, ultrasound, and sensory data.
- Advanced medical image annotation tools for timely project delivery without compromising precision.
- Secure annotation platforms that safeguard sensitive medical data through restricted file access and secure setups
2. Anolytics
Anolytics is one of the leading medical data annotation companies delivering HIPAA-compliant, accurate labeling solutions for building healthcare AI models. It has a team of more than 12,00 in-house annotators and medical professionals across specialities to offer scalable annotation services. Anolytics brings expertise in annotating medical images across modalities, such as X-ray, CT scans, MRI, ECGs, and ultrasound datasets. The company employs different annotation techniques, such as polygonal labeling, bounding boxes, semantic segmentation, and 3D point cloud annotations, to ensure precise training data for machine learning and AI models.
Key features
- Provides precise medical image annotations across modalities.
- Strict adherence to HIPAA compliance for secure handling of sensitive healthcare data.
- Efficiently manages high-volume annotation projects with fast turnaround times.
3. iMerit
Tracing its roots back over a decade, iMerit is an experienced data annotation company with over five thousand annotators. It provides quality and scalable medical data annotation services to support medical AI and ML model development. iMerit’s data labeling workforce can handle complex medical imaging data across X-rays, CT scans, MRIs, and ultrasounds, supporting AI-powered diagnostics, radiology workflows, and clinical research for leading healthcare enterprises, including Fortune 500 companies.
Key features
- Team of clinicians and domain experts, specialized annotators for QC, and US board-certified doctors for benchmarking and validation.
- Tech-enabled, tool-agnostic approach to maximize productivity.
- A highly skilled, low-attrition workforce ensures quality delivery at scale, enriching over 20 million healthcare AI data points.
- HIPAA, SOC 2, and ISO 27001:2013 certifications ensure stringent data security across global facilities staffed by 5,500+ NDA-bound professionals.
4. Shaip
Shaip specializes in medical image annotation services. It employs various techniques for annotating X-rays, CT scans, MRIs, and histopathology slides using semantic segmentation, bounding boxes, and 3D volume annotation. Shaip’s annotation workforce includes clinical experts and radiologists, ensuring precise and compliant labeling.
Key features
- HIPAA-compliant medical data annotation.
- Qualified healthcare professionals for clinical validation of annotation.
- Scalable, multimodal imaging support across healthcare AI use cases.
5. CloudFactory
One of the leading data annotation companies, CloudFactory offers accurate and scalable medical image annotation services across modalities, such as X-ray, MRIs, CT scans, and ultrasounds. It combines human-in-the-loop workflows with automation to label large volumes of data with great accuracy under strict data security protocols.
Key features:
- Leverages automation to enhance data annotation quality, speed, and scalability.
- Follow strict regulatory guidelines, including SOC 2, HIPAA, and GDPR, to ensure data integrity and compliance with industry regulations.
- Has extensive experience working with medical AI companies, backed by 8M hours of data annotation and model fine-tuning.
6. SuperAnnotate
SuperAnnotate provides an end-to-end platform for medical data annotation to build robust AI and ML models in healthcare. Its comprehensive ecosystem includes tools for high-quality annotation, project management, quality assurance, and collaboration, accelerating AI development for tasks like disease detection, diagnostic assistance, and patient record analysis. Additionally, the annotation team comprises medical professionals and trained annotators fluent in 18 languages.
Key features
- Includes features to ensure high annotation quality, which is critical for medical applications
- Strictly adheres to HIPAA, SOC 2 Type 2, and ISO 27001 guidelines.
- Offers a marketplace of expert annotation teams across domains, including medical data, with project management support for complex projects.
7. TaskUs
Founded in 2008, TaskUs combines a skilled workforce of full-time and gig data annotators and healthcare specialists to deliver high-quality medical image annotation services. With secure, compliant infrastructure, the company supports healthcare AI by accurately labeling MRIs, CT scans, and X-rays.
Key features
- Combines human expertise with robust QA and HIPAA-compliant processes.
- Delivers expert-led annotation focused on accuracy and regulatory compliance.
- Offers customizable workflows for diverse healthcare imaging needs.
- Demonstrates proven scalability in complex AI data operations.
Conclusion
As healthcare AI continues to advance, the demand for precise, compliant, and scalable medical image annotation services is only set to grow. The companies listed above – each with proven expertise, secure workflows, and specialized medical teams – are driving innovation in diagnostics, clinical research, and patient care. Partnering with the right annotation provider ensures high-quality labeled datasets that power accurate, reliable, and regulation-ready medical AI solutions.
