

Skolyn Email Formats
Hospitals and Health Care • Jafar Jabbarli Street 44, Yasamal Raion, Azerbaijan • 21-50 Employees
Skolyn Email Formats
Skolyn uses 5 email formats. The most common is {first name}.{last name}@company.com (e.g., john.doe@company.com), used 45.6% of the time.
| Format | Example | Percentage |
|---|---|---|
{first name}.{last name}@company.com | john.doe@company.com | 45.6% |
{first name initial}{last name}@company.com | {first name initial}doe@company.com | 22.3% |
{first name}@company.com | john@company.com | 15.1% |
{first name}{last name}@company.com | johndoe@company.com | 9.8% |
{first name}_{last name}@company.com | john_doe@company.com | 7.2% |
Key Contacts at Skolyn
Olaf Yunus Laitinen Imanov
Chief Technology Officer
Nurana Abdullayeva
Interim Chief Executive Officer
Murad Mammadov
Co-Founder & Chief Executive Officer
Company overview
| Headquarters | Jafar Jabbarli Street 44, Yasamal Raion, Baku City 1065, AZ |
| Phone number | +994515396228 |
| Website | |
| NAICS | 62 |
| Keywords | Clinical Decision Support, Digital Pathology, Healthcare Diagnostics, Early Disease Detection, Medical Image Analysis, Deep Learning In Healthcare, Explainable Ai (Xai) |
| Founded | 2025 |
| Employees | 21-50 |
| Socials |
About Skolyn
Skolyn is a computational imaging and artificial intelligence company architecting the foundational technologies for the next era of diagnostic medicine. Our mission is to resolve the systemic inefficiencies confronting modern radiology, a field defined by a ~15% annual growth in imaging volume and a persistent 3-5% diagnostic error rate. We address these challenges not by analyzing existing images, but by fundamentally reconstructing and enhancing the imaging process itself. Our core technological differentiator is the Skolyn Clarity Engine, a suite of deep learning models trained on vast, terabyte-scale datasets of raw k-space data from initiatives like the fastMRI+ project. This unique capability allows us to reduce MRI scan times by up to 4x while simultaneously improving image quality. Built upon this foundation of enhanced images, the Skolyn Diagnostic Suite provides clinicians with a universal, multi-modal analysis platform. Our initial product roadmap targets the highest-value clinical areas, including Musculoskeletal (Knee), Neurology (Brain), and Oncology (Prostate, Breast). Each module is built upon the inviolable principle of Explainable AI (XAI); we reject the "black box" paradigm and provide a complete dossier of evidence for each finding to foster warranted clinical trust. The analytical validity of our models is benchmarked to the highest academic standards, targeting an AUC > 0.95 for critical findings. This positions Skolyn not as an incremental improvement, but as a paradigm shift in medical imaging. We are a mission-driven, science-first organization dedicated to building the future of AI-augmented, high-performance medicine. Our ecosystem is designed to deliver enhanced operational efficiency for hospitals, superior diagnostic confidence for clinicians, and better outcomes for patients. We are actively engaging with strategic investors, clinical partners, and the world's top scientific and engineering talent to execute this vision.
Employees by Management Level
Total employees: 21-50
Seniority
Employees
Employees by Department
Skolyn has 18 employees across 6 departments.
Departments
Number of employees
Frequently asked questions
4.8
40,000 users



