Products

Rayscape AI
Rayscape AI
Clinical Decision Support & Reference
Rayscape provides AI-powered solutions for radiologists to enhance the interpretation of chest X-rays and lung CT scans, improving diagnostic accuracy and workflow efficiency.

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About Rayscape AI

Rayscape AI is a healthcare artificial intelligence company that develops radiology software designed to assist physicians in analyzing medical images, specifically chest X-rays and lung CT scans. The company’s mission is to empower radiologists with advanced AI tools to enable more precise diagnoses through in-depth analysis of medical images, ultimately streamlining the diagnostic process and benefiting both medical professionals and patients.

For physicians, Rayscape offers a comprehensive digital assistant that integrates seamlessly into existing workflows, whether local, PACS, or cloud-based. Their solutions, Rayscape CXR and Rayscape Lung CT, are designed to enhance diagnostic accuracy and efficiency. Rayscape CXR can detect over 148 pathologies, generate additional X-ray visualizations (like bone suppression and subtraction), calculate the cardio-thoracic index, and prioritize cases based on identified pathologies. Rayscape Lung CT provides advanced capabilities for detecting, measuring, and tracking lung nodules (3-30mm in diameter), including automatic comparisons across follow-up investigations, malignancy scoring, and volumetric quantification of SARS-CoV2 lesions. The AI-powered tools aim to reduce diagnostic errors, save time, and improve patient outcomes by facilitating early detection and proactive interventions.

Focus Areas

AI-powered radiology lung CT analysis chest X-ray analysis lung nodule detection lung cancer screening COVID-19 evaluation oncology diagnostic imaging workflow efficiency decision support

Business Intelligence

TechnologyCloud-native, edge computing, deep learning algorithms, machine learning, computer vision, DICOM-compliant PACS systems integration

What Physicians Need to Know

Specialization
Rayscape AI specializes in advanced AI solutions for radiology, primarily focusing on chest X-ray and lung CT analysis. They aim to empower radiologists with tools for more precise diagnoses through in-depth analysis of medical images.
Key Differentiators
Rayscape's key differentiators include their AI's ability to detect over 148 pathologies on chest X-rays, accurately detect, measure, and track lung nodules on CT scans, and provide automated, error-free, and standardized reports. They also emphasize seamless integration with existing infrastructure (PACS, RIS, HIS) and a focus on clinically relevant AI that simplifies decision-making without complexity.
Technology Stack
Rayscape leverages cutting-edge deep learning algorithms, machine learning, and computer vision for image analysis. Their solutions are designed for flexible deployment, supporting both on-premise and cloud-based infrastructures. They also utilize Large Language Models (LLM) for generating structured radiology reports.
Specific Applications
Their products include Rayscape CXR, which offers detection, CTR index calculation, COVID-19 scoring, and bone suppression/subtraction on chest X-rays. Rayscape Lung CT provides AI-powered lung cancer detection and management, including nodule localization, analysis, and automatic comparisons across follow-up investigations, as well as COVID-19 volume affection percentages.
Workflow Optimization
Rayscape's AI tools are designed to optimize radiology workflows by automating routine tasks, prioritizing scans based on severity, and generating structured reports, which reduces reporting time and ensures consistency. This allows radiologists to focus more on complex reasoning and patient care.
Physician Tip

For physicians, Rayscape AI offers faster and more accurate diagnoses, leading to improved patient outcomes through early disease detection and proactive interventions. The AI-generated structured reports save valuable time, ensure consistency in documentation, and improve communication with referring physicians. The ability to prioritize urgent cases and track patient well-being effortlessly enhances efficiency and patient-centric care. Furthermore, the technology aims to reduce radiation exposure by optimizing radiology dosing and enhancing image quality, potentially reducing the need for additional scans.

Rayscape AI is designed for seamless integration with existing hospital systems, including PACS, RIS, and HIS, through secure HL7 communication. It offers flexible deployment options (local, PACS, or cloud-based) and is customizable to fit various clinical workflows and preferences. They also partner with PACS/RIS vendors, radiology-focused distributors, and AI marketplaces to expand their reach and ensure smooth integration into diverse healthcare environments.

Products by Rayscape AI

1 product in the directory

Rayscape AI
Rayscape AI
Clinical Decision Support & Reference
Rayscape provides AI-powered solutions for radiologists to enhance the interpretation of chest X-rays and lung CT scans, improving diagnostic accuracy and workflow efficiency.

What the Web Says

Rayscape AI offers advanced AI solutions for radiology, aiming to improve the accuracy and efficiency of X-ray and CT imaging through deep learning algorithms. The platform assists radiologists in detecting and tracking lung nodules, evaluating COVID patients, and streamlining diagnostic workflows. While product reviews highlight its effectiveness in enhancing diagnostic precision and integration with existing systems, employer reviews are mixed, with some praising the supportive environment and others expressing frustration with the hiring process.

Overall: Mixed

Strengths

  • Enhances diagnostic precision and efficiency in X-ray and CT imaging.
  • Utilizes deep learning for automatic detection and tracking of lung nodules and evaluation of COVID patients.
  • Seamless integration with existing radiology infrastructure (on-premise or cloud).
  • Dedicated support team and comprehensive resources for effective use.
  • Offers customizable clinical interface and structured reporting.
  • Supports prioritization of urgent cases and generates structured reports.

Limitations

  • Some employer reviews indicate a frustrating and impersonal selection process.
  • Concerns about potential job displacement for radiologists due to AI.
  • Lack of transparency in how AI systems make decisions.
  • Possibility of bias in the training data used for AI algorithms.
  • One Reddit user reported false positives with a chest X-ray AI program, leading to wasted time.
  • Some skepticism regarding the legitimacy of job postings and AI-generated CEO introductions.

Based on reviews from: Google Search, Rayscape.ai, Vertex AI Search, Indeed.com, Reddit

Last updated: 2026-09-18

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Press & Coverage

Dealroom News
Rayscape lands u20ac1.5M EU grant to build oncology CT scanner AI
Rayscape secured approximately u20ac1.5 million in non-repayable EU funding to develop Rayscape TAP-CT, an AI-powered software for analyzing CT scans in oncology. This 36-month project aims to create a single 3D model that reads an entire scan, extending existing chest imaging to detect and track oncological lesions across the thorax, abdomen, and pelvis.
2026-09
Signalbase
Rayscape Secures $2 Million to Revolutionize AI-Enhanced Radiology Diagnostics
Rayscape announced a $2 million funding round to accelerate the development and deployment of AI algorithms for radiology, specifically to assist in analyzing chest X-rays and lung CT scans. The funds will be used to enhance their product suite, deepen AI capabilities, and expand R&D efforts.
2025-02
The SaaS News
Rayscape Raises $500 in Funding - The SaaS News
Rayscape, a Romanian startup providing AI solutions for radiology, raised $500,000 in funding from Fortech Investments via Rubik Garage Accelerator and other investors. The company plans to use these funds to fuel its expansion into the USA.
2024-03
Business Review
Rayscape secures EUR 1.5 million in EU funding to develop oncology CT AI platform
Edgefront Technologies, part of the Rayscape group, secured approximately u20ac1.46 million in non-repayable EU funding for the Rayscape TAP-CT project, a software product using AI to analyze oncology CT examinations. The total project value is around u20ac2 million, with the remainder from Rayscape's own contribution.
2026-09
Facebook (Rayscape AI)
Rayscape AI improves radiologist accuracy in lung CT scans
A newly published study involving 300 chest CT examinations showed that radiologists working with Rayscape AI achieved significantly improved accuracy in nodule detection, with false positives and negatives drastically reduced, and sensitivity and specificity increased. The study highlights AI's role in assisting radiologists to make more confident decisions.
2026-09
Rayscape AI
How AI Platforms Improve Radiology Workflow Optimization in 2025
This article discusses how AI is revolutionizing radiology by enhancing workflow efficiency, automating administrative tasks, and improving image acquisition and reconstruction. Rayscape's solutions aim to reduce radiation doses, optimize worklist prioritization, and streamline study protocoling and reporting.
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Rayscape AI
Advanced Healthcare Management: AI-Powered Radiology
Rayscape's AI-powered radiology tools aim to revolutionize reporting by generating error-free and standardized reports, and play a pivotal role in early disease detection. The software also optimizes radiology dosing, enhances image quality, and improves patient access to care.
unknown
Rayscape AI
Rayscape at ECR 2024
Rayscape announced its participation in the European Congress of Radiology (ECR) 2024, where it joined forces with collaborators to unveil the 'Dynamic 4 R's for Transformative Radiology Workflow'. Rayscape showcased its AI diagnostic assistants for chest X-rays and lung CTs, addressing oncology and emergency use cases.
2024-02

Frequently Asked Questions

Rayscape offers AI solutions primarily for radiology, focusing on chest X-rays and lung CT scans. Their products include Rayscape CXR, which identifies over 148 pathologies, calculates the cardio-thoracic index, provides bone suppression and subtraction images, and prioritizes cases. Rayscape Lung CT offers precise detection, measurement, and tracking of lung nodules, assists in lung cancer screening and oncological tracking, and can evaluate COVID-19 related lung affection.
Rayscape ensures compliance with regulations like GDPR and operates under ISO 13485 quality management, with CE Class certification under the MDR framework. For data security and patient privacy, images are anonymized during extraction and processed on-site within the institution's network, with access restricted to authorized personnel. Patient data is never shared with third parties.
Rayscape offers flexible pricing plans, including subscription-based models billed annually, covering a 12-month license term without per-user or usage-based charges. They also offer pay-per-use and custom/tiered pricing models. Healthcare organizations can assess cost-effectiveness by considering their imaging volumes and specific needs, as tiered pricing can be more cost-effective for fluctuating volumes.
Rayscape provides hands-on commercial and technical support, including sales enablement, product positioning, and demo support for partners. Their solutions are designed for seamless integration into standard imaging environments and existing infrastructure, with flexible deployment options for both on-premise or cloud applications, and they integrate with PACS/RIS.
Yes, Rayscape actively partners with PACS/RIS vendors, imaging IT providers, radiology-focused distributors, AI marketplaces, digital health platforms, and regional channel partners. These partnerships aim to expand portfolios with clinically relevant AI, create new revenue opportunities, and provide deployment-ready solutions with comprehensive support.
Rayscape was founded in 2018 in Timisoara, Romania. The company has secured funding, including a $2 million round in February 2025 to accelerate development and deployment of its AI algorithms. They are deployed in over 300 sites across 18 countries and are CE-marked, with FDA approval underway.
Rayscape validates the safety and reliability of its algorithms through clinical trials, peer-reviewed research, continuous internal monitoring, and independent CE conformity audits. They mitigate algorithmic bias by using balanced datasets, targeted subgroup evaluations, and recurring validation cycles to ensure fair and consistent performance across diverse populations and imaging protocols.

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