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Transforming Pathology with AI into the Digital Future
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Empowering pathologists and streamlining clinical workflow processes
Established in 2020, ROSEAId emerged from a significant collaboration with University of Texas Health, a premier US medical institution. ROSE AI our Telepathology Platform revolutionizes digital pathology leveraging our AI-driven, cloud-based technology, encompassing academia, research and clinical field requirements.
Mission
ROSEAId fulfils the specialized requirements of pathologists through the integration of advanced data analytics , streamlined workflow and diagnostics, providing real-time results for improved outcomes.
Vision
Create an unparalleled standard in telepathology for clinical diagnostics, improving patient outcomes, optimizing efficiencies and transforming a new era of medical innovation.
Revolutionizing Rapid Onsite Evaluation in Cytopathology with ROSEAId
Broadcast via Advancements with Ted Danson on CNBC, Aired Saturday 01/22/2022.
Enhance Patient
Outcomes
Speed Up Detection
and Diagnostics
Boost Productivity
and Reduce Costs
Extensive Dataset
Support
Integration of
3rd Party Devices
Patient History
and Comparisons
ROSEAId Products
Telepathology Platform
ROSEAId, unifies the pathology ecosystem by seamlessly integrating your existing technologies. This provides the versatility to meet the diverse needs of pathologists and clinicians to secure the investments that every laboratory requires.
Research Platform
RoseAId’s research platform, intended for our teaching hospital partners, leads the way for innovative data science use-cases in healthcare. Our Multi-Modal Large Language Foundational Model (MLLFM) for medical research transforms the way data is analyzed, simulated for more profound investigation into the intricacies of biological complexities.
This versatility allows us to uncover valuable insights from sources of data that were once invisible to conventional AI and Machine Learning Models.
Insights

Relevance of Dark Data in Healthcare
- 5 min read

The Evolution of AI from Predictive to Accurate Analytics Models
- 4 min read
The Future of Pathology Paved with ROSEAId's AI Solutions
Contact us
- info@roseaid.com
Our Offices
New York (Representative)
- 200 E. Erie Street, Suite 2S, Blauvelt, NY 10913
Houston (Headquarters)
- 5868 Westheimer Rd Suite 505 Houston, TX 77057
Abu Dhabi (Representative)
-
7th Floor, Ci Tower
Al Bateen, Abu Dhabi