Powering the Future of Medical AI
Aptan is a specialized platform for intelligent medical data labeling, delivering clinically accurate, high-quality datasets for next-generation AI and machine learning in healthcare.
Business Growth
Aptan is a Medical AI infrastructure company focused on intelligent medical data labeling
Innovative Solutions
We enable the creation of high-quality, clinically accurate datasets essential for training AI and ML models in healthcare.
Expert Team
Backed by a multidisciplinary team of medical professionals, data scientists, and AI specialists with deep expertise in medical data.
Proven Results
Our platform combines medical domain expertise, scalable annotation workflows, and rigorous quality control.
100+
Happy Clients
10+
Complete Projects
3+
Years of Experience
20+
Professional Team
Check Our Services
Cardiology AI Data Services
Aptan provides comprehensive data labeling solutions for cardiovascular AI applications, supporting early detection, risk assessment, and clinical intervention.
Labeling of cardiac rhythms, structural abnormalities, and vascular conditions
Annotation of ECG, echocardiography, CT angiography, and cardiac MRI data
Radiological Technology AI Services
Aptan empowers radiology and imaging AI solutions with high-fidelity labeled datasets that meet clinical and regulatory standards.
Advanced image annotation including segmentation, bounding boxes, and pixel-level labeling
Labeling of X-ray, CT, MRI, PET, mammography, and ultrasound data
Dentistry AI Data Services
Aptan delivers specialized data labeling services for dental AI applications, enabling accurate diagnosis, treatment planning, and patient care automation.
Labeling of orthodontic, periodontal, and endodontic datasets
Annotation of dental X-rays, CBCT scans, and intraoral images
Nephrology AI Data Services
Aptan supports nephrology-focused AI solutions by delivering clinically precise datasets tailored to kidney care and renal research. Our services enable the development of AI models for early detection, disease progression analysis, and treatment optimization.
Annotation of renal imaging (ultrasound, CT, MRI) for kidney structure and pathology identification
Structuring nephrology-specific EHR data, lab values (eGFR, creatinine, BUN), and physician notes
Pathology AI Data Services
Aptan.ai delivers highly specialized data labeling services for pathology AI, enabling accurate disease detection, classification, and prognostic modeling at the cellular and tissue level.
Cell, tissue, and tumor segmentation with grading and staging labels
Labeling of biomarkers, mitotic figures, necrosis, and morphological patterns
Orthopedics AI Data Services
Aptan.ai supports orthopedic AI solutions by delivering clinically accurate datasets for musculoskeletal imaging and orthopedic care pathways.
Annotation of X-ray, CT, MRI, and ultrasound images for bones, joints, and soft tissues
Labeling of fractures, deformities, degenerative changes, and post-surgical outcomes
Why Choose Us
We Believe we will be successful if our clients Are Sucessful
Clinically Grounded Intelligence
Data pipelines designed with orthopedic surgeons, roboticists, and medical AI experts in the loop
Robotics-Ready Dataset Engineering
Curated datasets for autonomous surgical skills — drilling, grasping, suturing, implant placement, and motion planning
Spatial-Temporal Precision
Frame-accurate video annotation for instrument tracking, pose estimation (6-DoF), and tissue-anatomy segmentation
Scalable & Reliable Workflows
Annotation infrastructure built for large-scale deployment without compromising precision
Check Our Compliance
Aptan.ai ensures enterprise-grade data security, privacy-preserving AI workflows, and regulatory compliance to support trusted healthcare and medical robotics AI systems. We handle PHI and personal data with encryption, role-based access control, de-identification, and full audit trails, backed by expert clinical validation.
HIPAA Compliance
- Secure processing of PHI through encrypted storage, transmission, and controlled access mechanisms
- Role-based access control (RBAC) and strict data handling protocols across all annotation environments
- Surgeon- and expert-in-the-loop validation while preserving patient confidentiality and data integrity
GDPR Compliance
- Lawful data processing based on legitimate purposes, consent where required, and clearly defined data usage policies
- Data minimization and purpose limitation across all AI training and robotic annotation workflows
- Secure data handling through encryption, access controls, pseudonymization, and de-identification where applicable
Data Security & Privacy
Take support to the next level.
- All sensitive data is encrypted at rest and in transit
- Secure cloud and on-prem infrastructure with hardened storage policies
- Strict data retention limits and secure deletion protocols
What is Aptan.ai?
Aptan.ai is a specialized medical AI data platform that provides high-quality, clinically validated data labeling and annotation services. We help healthcare and life sciences organizations transform raw medical data into reliable datasets for building accurate and compliant AI models.
What types of medical data does Aptan.ai support?
Aptan.ai supports a wide range of medical data, including medical imaging (X-ray, CT, MRI, ultrasound, pathology slides), clinical text and EHR data, ECG and waveform data, audio, video, and multi-modal datasets.
Which medical specialties does Aptan.ai cover?
We provide domain-specific services across multiple specialties, including Nephrology, Dentistry, Radiology, Cardiology, Pathology, Orthopedics, and other clinical areas based on project requirements.
How does Aptan.ai ensure data quality?
We follow multi-layer quality assurance processes, including inter-annotator agreement checks, clinical validation, and audit-ready reviews. Every dataset undergoes strict quality controls before delivery.
Can Aptan.ai handle large-scale or enterprise projects?
Absolutely. Our platform is designed to scale from pilot projects to enterprise-level deployments, supporting high-volume datasets without compromising quality or compliance.