Enlitic
Enlitic, founded in 2014, is a healthcare AI company specializing in medical imaging data solutions.
Profile
They build AI tools to standardize and anonymize medical imaging data for hospitals and researchers.
Enlitic, founded in 2014, is a healthcare AI company specializing in medical imaging data solutions. Originally focused on deep learning for radiology, it has pivoted to data standardization, anonymization, and migration tools for healthcare systems. The company went public on the ASX and has since expanded its product suite to address data interoperability challenges in healthcare.
Its current offerings include AI-driven tools for data anonymization, migration, and standardization, targeting hospitals, radiology groups, and research institutions. Enlitic's 2025 annual report shows steady growth, with partnerships like Sectra and deployments in New Zealand's Radiology Healthcare Group. Recent product updates include Ensight 2.2, focusing on imaging data standardization, and full integration with Sectra's systems. The company faces competition from larger healthcare IT vendors but maintains a niche in AI-powered data refinement for medical imaging workflows.
Who buys this
- Hospital systems managing large imaging archives
- Radiology groups needing workflow optimization
- Healthcare IT departments implementing new PACS systems
- Clinical research organizations requiring anonymized datasets
- Medical imaging equipment vendors seeking AI integration
Publicly disclosed clients
- Radiology Healthcare Group New Zealand (RHCNZ)
- Sectra
Strengths and what to watch
Strengths
- Proven track record in radiology AI since 2014 with multiple product iterations
- ASX-listed status provides transparency and access to capital markets
- Specialized focus on medical imaging data gives deep domain expertise
Watch for
- Dependence on healthcare IT budgets which face macroeconomic pressures
- Competition from larger PACS vendors adding AI capabilities
- Regulatory hurdles in data privacy across different healthcare markets
Recent moves
Key Information
- Founded
- 2014
Frequently Asked Questions
What does Enlitic do?
Enlitic develops AI tools for standardizing, anonymizing, and migrating medical imaging data. Founded in 2014, it focuses on healthcare systems, radiology groups, and research institutions. Its solutions address data interoperability challenges, helping hospitals and researchers manage imaging archives efficiently.
How does Enlitic use AI in healthcare?
Enlitic leverages AI to refine medical imaging workflows, offering tools for data anonymization, standardization, and migration. These solutions help hospitals, radiology groups, and researchers optimize imaging data management, ensuring interoperability and efficiency in healthcare systems.
Who are Enlitic's main customers?
Enlitic serves hospital systems, radiology groups, healthcare IT departments, clinical research organizations, and medical imaging equipment vendors. Notable clients include Radiology Healthcare Group New Zealand and Sectra, benefiting from its AI-driven data refinement tools.
What is Enlitic's Ensight 2.2?
Enlitic's Ensight 2.2 is an AI-driven tool focusing on imaging data standardization. It enhances workflow efficiency for healthcare providers, ensuring seamless integration and management of medical imaging data across systems.
How does Enlitic integrate with Sectra?
Enlitic has fully integrated its AI tools with Sectra's systems, expanding access for Sectra customers. This partnership enhances medical imaging data management, offering advanced anonymization and standardization capabilities to healthcare providers.
What challenges does Enlitic face?
Enlitic faces competition from larger healthcare IT vendors, regulatory hurdles in data privacy, and dependence on healthcare budgets. Despite these challenges, it maintains a niche in AI-powered medical imaging data refinement.
Sources
- enlitic.com — Recent customer deployment in New Zealand
- enlitic.com — Partnership with Sectra
- ir.enlitic.com — Financial reporting and corporate status
- enlitic.com — Early funding history and pivot from deep learning