Rology AI-assisted Teleradiology Platform
The global healthcare system grapples with a glaring disparity in radiological services. Despite the surge in the availability of imaging equipment, there remains an acute shortage of trained radiologists, particularly in underserved, remote, and rural regions. This results in diagnostic delays, which can significantly impact patient outcomes. In the U.S. alone, the demand for radiology services exceeds the supply by approximately 10% and is projected to grow by 14% by 2025.
Internationally, the disparity in access to radiological services is strikingly evident. The World Health Organization reports that two-thirds of the world's population lacks access to basic radiological services, which translates to billions being affected. This deficiency is not confined to just developing nations.

Within the U.S., where there's a ratio of one radiologist for approximately every 11,600 individuals (29,250 radiologists for a population of 339,996,563), rural and underserved areas particularly grapple with a pronounced shortage of qualified radiologists.
According to the 2019 American College of Radiologists (ACR) Commission on Human Resources Workforce Survey, the field of radiology is confronting a significant age skew. The survey revealed that 8% of radiologists are over the age of 65, and an additional 22% fall within the age bracket of 56 to 65 years. This demographic trend underscores the imminent challenges in ensuring sustained and adequate availability of skilled radiologists, especially considering the potential wave of retirements in the near future.

The Clinical Radiology UK Workforce Census Report 2018 highlights a growing concern in the radiology sector. As demand for services rises, workforce growth lags, leading to vacant consultant positions. The report underscores that 3 out of 5 consultant radiologist vacancies remain unfilled for over a year, further aggravated by increased expenditures on outsourcing and locums. The sector urgently needs attention and remedial action.

As the demand for radiological examinations surges, radiologists find themselves grappling with mounting workloads. This escalation not only stretches their capacity but also results in prolonged waiting periods, inevitably leading to potential setbacks in patient care timelines. While radiologists are exceptionally skilled, the intrinsic nature of human susceptibility means errors, whether stemming from oversight, sheer exhaustion, or the intricacies of a specific case, remain a conceivable concern in the radiology realm. This underscores the need for effective support systems and innovations to alleviate the burden and minimize inaccuracies.
The challenges are exacerbated when we factor in the increasing volume of medical images being generated and the intricacy they bring. An average hospital generates millions of images annually, a quantity too vast for human capacity alone, especially when accuracy is paramount.
Moreover, the complications are compounded by the data silos in healthcare. Different healthcare providers and systems often operate in isolation, leading to fragmented patient data. This lack of interoperability impedes the cohesive analysis of patient data, hampers efficient care delivery, and poses challenges in aggregating and analyzing data for research or broader healthcare improvements.
Rology is the leading AI-assisted teleradiology platform in the Middle East and Africa, equipped with an AI-enabled DICOM viewer and workflow management system, that remotely and instantly matches subspecialized radiologists with medical imaging exams from hospitals and diagnostic imaging centers.
Rology Teleradiology Platform is FDA 510(k) Cleared (K231385), as a Class II Medical image management and processing system (radiological). This establishes it as the world’s premier FDA-cleared on-demand and 2-sided teleradiology solution.

With operations spanning across 9 countries, Rology has been a game-changer in saving more than 650,000 lives through its precise and swift radiology reports.
Rology Teleradiology Platform is FDA 510(k) Cleared (K231385), as a Class II Medical image management and processing system (radiological). This establishes it as the world’s premier FDA-cleared on-demand and 2-sided teleradiology solution.
We understand that radiology largely depends on the accurate and timely interpretation of medical images, a process that can be demanding and time-consuming for radiologists. Therefore, we developed an AI-assisted teleradiology platform that primarily serves to streamline and enhance this process. The DICOM viewer we designed can integrate and interpret this data swiftly, contributing to a more efficient workflow.

Rology's AI-powered Teleradiology platform aims to address this multifaceted problem of radiologists shortage by:
Bridging the Radiologist Gap: By connecting hospitals and clinics in need with a global network of certified radiologists, Rology ensures timely diagnosis irrespective of geographical constraints. This ensures that patients in rural and underserved regions, both within the U.S. and globally, have equitable access to expert radiological opinion.
Harnessing AI for Quality Control: With the incorporation of Artificial Intelligence, the platform can quickly analyze vast volumes of medical images, flagging potential issues for radiologists' review. This not only speeds up the diagnostic process but also helps maintain a high level of accuracy.
Promoting Data Interoperability: Rology's platform is designed to seamlessly integrate with multiple healthcare systems. By facilitating data sharing, it fosters a collaborative environment, promoting holistic patient care. This interoperability is pivotal in creating an inclusive health data ecosystem, which is paramount for precision medicine and research.
Empowering Patient-Expert Communication: By offering user-friendly interfaces, Rology enhances the communication channel between radiologists and patients, ensuring that patients are well-informed about their health status.
In essence, Rology is not merely offering a teleradiology solution but is pioneering a transformative approach to global radiology services. By leveraging cutting-edge technology and a collaborative ethos, the platform addresses the pressing challenge of radiologist shortage while ensuring that data privacy, quality, and patient empowerment remain at the core of its mission.
Rology leverages the DPD pillars—Platformization, Democratization, and Decentralization—to revolutionize the radiology industry. By transforming radiology into an on-demand platform-based service, Rology democratizes access to quality diagnostic care, allowing professionals worldwide to contribute and collaborate. The decentralization of radiology services further disrupts the traditional system, making advanced diagnostics accessible and affordable for everyone, thereby transforming the landscape of global healthcare.

Rology's groundbreaking AI-assisted teleradiology platform is transforming the healthcare landscape. The driving force behind its revolutionary impact is the hard numbers, supported by extensive testing and validation. With a substantial 45% increase in operational capacity and a 28% enhancement in cost margins per scan, the platform not only stands as a testament to its efficiency but also underscores its economic viability. This efficiency extends to its ability to slash the diagnostic process, cutting down the Turnaround Time (TAT) by an impressive 36% and reducing report drafting time by 17%. These accelerated diagnostics lead to prompt treatment initiation, optimizing patient care outcomes.

The platform serves three primary groups:
- Patients Requiring Radiological Services: Spanning from urban to remote regions both within the U.S. and internationally, patients often grapple with prolonged wait times, sometimes risking misdiagnoses. The stakes are high; early detection can drastically alter treatment pathways, making timely radiology services crucial.
- Medical Institutions: Hospitals and imaging centers often face a mounting demand against a backdrop of radiologist shortages. Especially for institutions in less accessible regions, maintaining a roster of qualified radiologists remains a persistent challenge, potentially jeopardizing patient care.
- Radiologists: Professionals desiring flexible work environments or global opportunities might find themselves restrained by geographic or institutional confines.By leveraging Rology, the outcomes are transformational:
- Patients receive quicker, more accurate radiological reports. This timeliness is pivotal, leading to swift medical interventions, more successful treatments, and potentially saved lives.
- Healthcare Providers witness operational transformations, offering 24/7 radiology services, drastically reducing patient wait times, and integrating Rology without heavy infrastructural changes.
- Radiologists find themselves empowered, accessing a diverse set of cases, collaborating globally, and enjoying a flexible work environment.
With the FDA's 510(k) clearance, Rology's position is unassailable. Serving a clientele spanning over 150 establishments in 9 countries, this approval is especially vital for SMEs like imaging centers, which handle a significant 25% of the processed scans. Public hospitals, despite their constraints and handling a commendable 56% of the scans, are now equipped to offer top-tier radiology services. Meanwhile, private hospitals, accounting for 19% of the scans, illustrate the adaptability of Rology's platform.
Over its six-year trajectory, Rology's imprint in teleradiology is profound. Catering to a population exceeding 10 million, managing over 644,000 scans, and collaborating with 306 radiologists across 387 modalities, Rology's reach is far and wide. The numbers tell a tale of inclusivity: 35% of scans in primary care, 39% serving rural locales, and an admirable 46% targeting the economically vulnerable.
In essence, Rology isn't just a technological marvel; it's the embodiment of equitable healthcare for all, championing the belief that quality radiological services should be universally accessible.
Rology is a synergistic blend of expertise, experience, and vision. Our leadership team, backed by our multidisciplinary staff, embodies a collective commitment to revolutionize radiology, and here's why we're poised to do so:

- Amr Abodraiaa, CEO: With roots as the Co-founder and CEO of TownSoft and strategic roles at Ezz Steel, Amr's grasp on market dynamics is exceptional. His leadership is not just about guiding the team; it's about navigating the challenges, seizing opportunities, and continuously steering Rology towards its strategic vision. His understanding of operational excellence ensures that every aspect of Rology functions seamlessly.
- Mahmoud Fathy, FEBR, Chief Medical Officer: Mahmoud is the linchpin that binds the technological innovations of Rology with the real-world medical landscape. With over a decade of radiology experience and an influential tenure at the Andalusia Group, he stands as the gatekeeper for our medical standards. His dual expertise, both in radiology and healthcare management, ensures that Rology remains medically robust and industry-relevant.
- Moaaz Hossam, Chief Business Officer: Moaaz is the entrepreneurial engine behind Rology. With an impressive track record of founding startups and managing products, he possesses a deep understanding of business dynamics in the healthcare tech space. His role ensures that our offerings are not just innovative but also commercially viable, optimized for growth and scalability.
- Salma Sakr, Chief Growth Officer: Salma's journey with giants like Procter & Gamble has honed her ability to identify growth avenues and execute expansion strategies. She works relentlessly to propel Rology into new markets, forging strategic partnerships, and ensuring our footprint is both wide and impactful.
Now, while our leadership is instrumental, Rology's strength lies in its collective. We're backed by a formidable team of over 59 professionals, spanning expertise areas from software development to medical imaging. This ensures a rounded, comprehensive approach to every challenge we tackle. Whether it's the nitty-gritty of code optimization or the nuances of medical imaging, there's always an expert on hand, ensuring excellence.
Further bolstering our capabilities is our expansive network of 170 sub-specialized radiologists. Their medical acumen enriches our platform. Their feedback refines our AI model, their validations uphold our diagnostic accuracy, and their continued engagement ensures clinical relevance.
In sum, our team's proximity to the challenges faced in radiology, our blended expertise, and our unwavering commitment position us uniquely. Rology isn't about a few individuals; it's about a collective vision, and each one of us, from leadership to our wider team, is deeply invested in bringing this vision to life for the communities we serve.
- Developing and refining models that use high-quality data to predict and personalize a person’s future health risks with plans to prevent or reduce these risks.
- Creating user-friendly interfaces to improve communication between experts and patients, including providing better information, results, and reminders.
- Scale: A sustainable enterprise working in several communities or countries that is focused on increased efficiency
- Financial (e.g. accounting practices, pitching to investors)
- Legal or Regulatory Matters
- Monitoring & Evaluation (e.g. collecting/using data, measuring impact)
- Public Relations (e.g. branding/marketing strategy, social and global media)
- Technology (e.g. software or hardware, web development/design)
Rology received the 510(k) clearance (K231385) from the U.S. Food and Drug Administration (FDA) for its Teleradiology Platform as a Class II Medical image management and processing system (radiological). This establishes Rology teleradiology platform as the world’s premier FDA-cleared on-demand and 2-sided teleradiology solution, according to Rology’s analysis.
Historically, many teleradiology providers have opted for FDA clearances targeting PACS systems and DICOM viewers, systems that can pose financial burdens for many healthcare providers. However, with the dramatic advancements in technology since then, there's been a paradigm shift. Rology’s on-demand, two-sided platform melds the capabilities of these traditional systems while also introducing new features. Notably, its dynamic matching system ensures each scan is paired with the most suitable radiologist based on subspecialty and availability. This innovation, offered within a cost-effective pay-per-report model, democratizes access to top-tier teleradiology and guarantees unparalleled quality and precision in every report.

The platform's dynamic design facilitates the seamless acquisition of DICOM images from various imaging modalities and systems. These images are then encrypted, anonymized, stored, and intelligently matched with top-tier radiologists based on their availability and subspecialty. A notable highlight is that a staggering 69% of all reports undergo a peer-review process prior to delivery, emphasizing quality and accuracy.

Rology's AI-assisted teleradiology platform is a groundbreaking innovation in radiology, seamlessly merging AI's analytical capabilities with teleradiology's global reach. Unlike traditional models, Rology intertwines AI within the teleradiology framework, ensuring swift and precise diagnostics. Our models, trained on a vast array of radiology images, act as a vigilant second-eye, detecting minute anomalies and expediting diagnostics. This fusion ensures patients worldwide access top-tier radiologists 24/7, breaking geographical and temporal barriers.

Furthermore, AI drives our operations, from matching radiologists to relevant cases to ensuring streamlined processes, making Rology not just a diagnostic tool but an operational powerhouse. This unique approach sets Rology as a potential industry benchmark, hinting at a future where healthcare is integrative and boundless. As Rology redefines standards, it could stimulate a market shift towards such synergized solutions, ushering in a new era of healthcare innovation.
Rology's AI-assisted teleradiology platform stands as a testament to our commitment to the UN's Sustainable Development Goal 3 (SDG 3): Good Health and Well-Being. Our initiative directly aligns with several sub-targets of this goal, ensuring that we play a pivotal role in promoting and advancing global health standards. Here's how:
1. Universal Health Coverage (Target 3.8): Rology's platform democratizes access to high-quality radiological services, ensuring that irrespective of geographical constraints or socioeconomic backgrounds, individuals have the right to timely and accurate medical imaging interpretations. By connecting patients with specialized radiologists 24/7 and breaking down geographical barriers, we move closer to achieving universal health coverage, where quality healthcare becomes an indisputable right, not a luxury.
2. Addressing Non-Communicable Diseases (Target 3.4): Accurate and early diagnosis is a linchpin in preventing and treating non-communicable diseases, including cardiovascular diseases, cancers, and respiratory conditions. Rology's AI-enhanced teleradiology accelerates the diagnostic process, catching ailments in their early stages, and significantly enhancing the chances of successful interventions and treatment outcomes.
3. Strengthening Health Workforce (Target 3.c): By offering radiologists a flexible work environment and access to a plethora of cases, we empower healthcare professionals to serve beyond their immediate communities. Our platform also provides opportunities for continuous learning and global collaboration, fostering capacity-building and ensuring that the healthcare workforce remains robust, skilled, and responsive.
4. Health Technology Development (Target 3.b): Rology is at the forefront of integrating innovative technologies into healthcare. Our cutting-edge AI models, combined with our teleradiology platform, epitomize the kind of technology development and innovation that SDG 3 encourages. Furthermore, our commitment to research and development ensures that our platform remains at the cusp of technological advancements, consistently pushing boundaries.
5. Reducing Global Health Inequities (Target 3.8): One of Rology's primary missions is to bridge the divide between urban and remote healthcare landscapes. By ensuring that radiological expertise is accessible even in the most underserved areas, we are actively diminishing the health disparities that plague our global communities.
6. Infrastructure and Partnerships (Target 3.d): Rology's proactive engagement with various healthcare institutions, from private entities to public hospitals, emphasizes the importance of partnerships in promoting health and well-being. By offering a seamless integration mechanism, we ensure that existing healthcare infrastructures can benefit from our services without onerous overhauls.
7. Data-Driven Decision Making (Target 3.8.1): Our platform not only offers diagnostic services but also stands as a reservoir of invaluable health data. By analyzing this data, we can extract insights that can influence health policies, strategies, and interventions, ensuring they are data-driven, effective, and targeted.
In essence, Rology isn't just a healthcare solution; it's an embodiment of our unwavering commitment to SDG 3. Our platform, through its myriad features and strategic integrations, works relentlessly towards ensuring that good health and well-being aren't mere ideals but tangible, achievable realities for all. Through our initiatives, we aspire to significantly contribute to a healthier, equitable, and more sustainable future in line with the United Nations' vision.
At the heart of Rology's AI-assisted teleradiology platform is a rich and diverse data infrastructure. Drawing from over 300 million diagnosed radiographic (DICOM) images, our dataset is multi-vendor, diverse, and comprehensive. It includes:
DICOM Images: A standardized format for storing medical imaging, our vast collection allows for high-grade machine learning model training.
De-identified Study Metadata and Diagnostic Reports: A collection of over 700,000 anonymized medical imaging studies and associated radiology reports. These profiles create a comprehensive picture of patient health, ensuring AI models are not working in silos but have a holistic view of patient data.
- Medical History: Essential for understanding patient background and context, further refining AI accuracy.
Data integrity and privacy are paramount for us:
Regulatory-Grade RWD: The data quality is of regulatory-grade, ensuring it stands rigorous examination and represents diverse patient populations.
Full De-identification and Privacy Protection: Beyond removing Protected Health Information (PHI), we ensure removal of Personally Identifiable Information (PII) and Site Identifiable Information (SII). Our rigorous multi-stage quality control process guarantees utmost privacy and security.
Dynamic Data Evolution: Our data lake's growth rate is over 25%, guaranteeing up-to-date medical imaging studies. This dynamicity ensures relevant and current data availability.
Real-world Data for Real-world Solutions: Our dataset represents genuine clinical scenarios. This real-world data ensures the AI models developed tackle actual clinical challenges, minimize biases, and optimize performance.
HIPAA Compliance and Privacy Centricity: Adhering to stringent HIPAA guidelines, our platform uses advanced techniques for data de-identification, ensuring full patient confidentiality.
This data-driven approach, combined with AI, empowers the creation of innovative solutions, addressing critical healthcare challenges. Through our platform, we aim to pioneer advancements in medicine and shape its future trajectory.
Workload and Speed: Given the increasing demand for radiological examinations, radiologists often face a significant workload, which may lead to longer waiting times and potential delays in patient care. Our AI-powered platform is designed to speed-up the workflow rapidly, helping to reduce radiologists' workload and enabling quicker, more timely diagnosis.
Accuracy: Despite the high level of expertise, human error can never be completely eliminated in the field of radiology. It could be due to oversight, fatigue, or the complexity of the case. Our AI algorithms can assist in this aspect by providing a 'second opinion,' helping to detect anomalies that may otherwise be overlooked, and thereby improving diagnostic accuracy, such as the viral pneumonia detection model, improve diagnostic accuracy by pinpointing anomalies in chest CT scans swiftly and precisely.
Workflow Optimization: Efficient workflow is crucial in radiology. Rology employs AI models to optimize radiology operations, from auto-matching cases and reviewing reports, to scheduling scans and emergency reporting. This significantly enhances overall productivity and the quality of services provided.
At Rology, we take the ethical implications of AI in radiology very seriously and have implemented several measures to address potential issues such as patient privacy, data security, and algorithm bias.
Patient Privacy: We respect patient privacy as one of our utmost priorities. All data processed by our platform is fully anonymized, ensuring that no personally identifiable information is ever associated with the medical images or diagnostic reports. We adhere to strict privacy standards and comply with all relevant data protection legislation.
Data Security: We are committed to safeguarding the security of the data we handle. Our platform employs SSL/TLS for secure data transmission, along with encryption to protect stored data. We also adhere to HL7 Standards, a set of international standards for the transfer of clinical and administrative data. Additionally, we implement stringent cybersecurity measures to protect against potential threats and breaches.
- Algorithm Bias: To tackle the potential issue of algorithm bias in our AI models, we employ rigorous sampling methods that enable us to peer-review 69% of all reports and scans. This extensive review process allows us to continually monitor the AI's performance, evaluate its accuracy, and identify any potential areas of bias or misinterpretation. This peer-review system also helps us to understand how the model is performing across a variety of different cases, and how it's being interpreted by different radiologists. By doing this, we can continually refine and enhance our AI models to ensure they remain as fair, unbiased, and accurate as possible. Also, our AI models are trained on a vast and diverse dataset of radiology images, ensuring that they can accurately interpret a broad range of cases. Furthermore, the effectiveness and accuracy of our AI models are continually evaluated through comprehensive testing and validation processes. Any potential bias identified is addressed through updates and improvements to the AI models.
- Continuous Improvement: We believe in the importance of continuously learning and improving. Our models undergo regular reviews, updates, and enhancements to ensure their accuracy and reliability. The AI models' performance is systematically evaluated and refined based on clinicians' feedback and the latest scientific research.
- Ethics and Data Privacy: Above all, we strive to maintain the highest ethical standards in all our operations. We are transparent about our AI algorithms, how they work, and how they are used in the diagnostic process. This ensures that clinicians, patients, and other stakeholders understand and trust our technology.
Impact Goals for the Next Year:
Accessibility Enhancement: Enable +200 healthcare centers, particularly in underserved regions, to access our AI-assisted teleradiology platform, thus bridging the diagnostic gap and ensuring rapid medical image assessments.
Skill Augmentation: Train 120 radiologists on our integrated platform, enhancing their capabilities with AI-backed diagnostics.
Accuracy Improvements: Achieve a 99.85% accuracy rate through the integration of our AI models, ensuring better patient outcomes.
Operational Efficiency: Accelerate diagnostic times by 30% for partner healthcare centers by streamlining radiology workflows using our AI models.
Strategies to Achieve One-Year Goals:
Partnerships: Collaborate with government healthcare departments and corporates to identify underserved areas requiring radiology support and facilitate the integration of our platform.
Training Modules: Develop a comprehensive training curriculum for radiologists, incorporating both traditional diagnostics and AI-driven insights.
Feedback Loop: Establish a robust feedback mechanism with partnering centers to continuously refine our AI models, enhancing accuracy and operational efficiency.
Impact Goals for the Next Five Years:
Global Reach: Expand our platform's reach to 600 healthcare centers worldwide, focusing on developing nations with scarce radiology resources.
Radiologist Network Growth: Cultivate a global network of 400 radiologists proficient in AI-assisted diagnostics, fostering a community of experts.
Refined Accuracy: Target a 99% accuracy rate, setting a new standard in radiological diagnostics.
Research and Innovation: Initiate three large-scale research projects leveraging our vast data repository to explore novel AI algorithms, potentially revolutionizing medical imaging diagnostics.
Patient Impact: Directly impact the healthcare outcomes of 10 million patients by providing timely, accurate, and accessible radiology diagnostics, promoting longevity and quality of life.
Strategies to Achieve Five-Year Goals:
Strategic Alliances: Forge alliances with international healthcare organizations, corporations, and governments to integrate our platform into their health ecosystems.
Continuous Learning: Implement continuous learning programs for our network of radiologists, keeping them abreast of advancements in AI-driven diagnostics.
Data-Driven Refinement: Use the wealth of data accumulated to fine-tune AI algorithms, focusing on error-prone areas and rare conditions, ensuring consistently enhanced accuracy.
Research Collaborations: Partner with academic institutions and research bodies for collaborative projects, driving innovation in AI diagnostics.
Patient-Centric Campaigns: Launch awareness campaigns emphasizing the importance of early and accurate diagnostics, ensuring patients actively seek and benefit from AI-assisted radiological assessments.
- For-profit, including B-Corp or similar models
Rology's solution team comprises a diverse group of professionals dedicated to revolutionizing the realm of radiology. Here's the breakdown:
Full-Time Staff: 59 individuals spread across various departments:
- Software Engineering Team (which includes the Platform and the Mobile App Teams)
- Data Analysis Team
- AI Team
- Sales and Business Development Team
- Growth and Marketing Team
- Accounting Team
- Medical Operations Team
- Customer Success Team
Contractors: We have a network of 170 radiologists who function as independent contractors. These experts span 14 sub-specialties, including:
- Chest
- Oncology
- GIT
- Neuro
- MSK
- Ocular
- Women's Health
- Urogenital
- Pediatric
- Head and Neck
- Nuclear
- CVS
- Dental
- Body
Rology has been diligently working on our AI-assisted teleradiology platform for 6 years. Over this period, we have continuously refined our approach, integrating cutting-edge AI technology with teleradiology to provide innovative solutions in the field of radiology. Our commitment throughout these years has been to bridge the existing gaps in the sector and deliver unparalleled diagnostic services to patients and healthcare providers.
Diversity, equity, and inclusivity (DEI) are foundational pillars for Rology. We recognize that to truly revolutionize the field of radiology and cater to a global audience, it's imperative to embrace diverse perspectives, ensure equitable practices, and foster an inclusive environment.
Leadership Diversity: Our leadership team reflects a rich tapestry of backgrounds and experiences. We've woven in diverse insights right from the corporate echelons. Their multifaceted expertise, from entrepreneurship to medical specialization, embodies our commitment to a diverse leadership perspective.
Diverse Radiologist Network: Our extensive network of 170 radiologists across 14 sub-specialties represents a diverse pool of professionals from various ethnic, cultural, and gender backgrounds. This diversity ensures that our diagnostic solutions are nuanced and comprehensive, incorporating a wide range of perspectives.
Recruitment Practices: We have implemented unbiased recruitment practices, ensuring that candidates from all backgrounds have an equal chance to join our team based on merit, skills, and potential. Gender-neutral job descriptions, blind recruitment, and structured interview processes mitigate unconscious biases and promote a more diverse workforce.
Ongoing DEI Training: Our commitment to DEI extends beyond recruitment. Regular training sessions ensure that our team remains sensitized to DEI principles. From workshops on unconscious biases to inclusive communication, we strive to make DEI an ingrained aspect of our organizational culture.
Equitable Growth Opportunities: At Rology, every team member, irrespective of their background or identity, has an equal opportunity for professional growth. Our performance metrics, training opportunities, and leadership development programs are designed to be equitable, ensuring that everyone has the tools and opportunities to excel.
Inclusive Work Environment: We continuously work to create an environment where everyone feels valued, heard, and empowered. Monthly feedback sessions, open-door policies, and inclusive team events are just a few ways we ensure that every member feels like an integral part of the Rology family.
Community Engagement: Our engagement with the communities we serve goes beyond mere business interactions. We actively seek feedback from diverse patient groups to understand their unique needs and challenges. This ongoing dialogue ensures that our solutions remain relevant, accessible, and beneficial to all. In conclusion, at Rology, DEI is not just a catchphrase or a corporate responsibility checkbox. It's a deeply held belief that resonates throughout our operations, our products, and our interactions. We are committed to embedding these principles into the very fabric of our organization, ensuring that as we grow and evolve, diversity, equity, and inclusivity remain at our core.
Rology operates under a hybrid operational model that intertwines advanced technological capabilities with human expertise, ensuring both efficiency and precision.
Zero-setup Cost Platform: Rology teleradiology platform offers the flexibility to integrate with healthcare facilities regardless of whether they already have PACS in place or not. Our platform is designed to be both versatile and scalable to meet the unique needs of each facility. For facilities without an existing PACS, we offer a comprehensive, zero-setup cost solution that includes all the features needed for effective reporting, including an automatic DICOM upload system and a workflow management system. The key difference lies in the initial investment capital and infrastructure required to start the teleradiology services, whereas our platform doesn’t need any PACS or VPNs installed inside the radiology department, which fits the real financial and technology challenges of healthcare providers in the MEA region.
We deliver our radiology reports directly through our platform, eliminating the need for any existing EMR systems to be in place at the healthcare facility. This approach allows for quick and secure access to the reports, streamlining the diagnostic process for healthcare providers. Our platform is designed with user-friendly interfaces and is compliant with industry standards like DICOM and HIPAA, ensuring the confidentiality and security of patient information. This direct method of communication simplifies the workflow, enabling healthcare facilities of all sizes to easily adopt our platform.
Here's a snapshot of our operational model and plan:
Team Structure and Organization:
- Software Engineering & AI Teams.
- Medical Operations Team.
- Sales, Growth, and Marketing Teams.
- Customer Success Team.
- Stakeholder Engagement:
- Healthcare Institutions & Radiology Centers: Our primary clientele. We offer them streamlined radiological services powered by AI. Continuous engagement through webinars, workshops, and feedback loops ensures we evolve according to their needs.
- Radiologists: They form the backbone of our diagnostic services. Regular training sessions keep them abreast of our platform updates. Feedback mechanisms ensure their inputs shape our operational strategies.
- Patients: While our direct interaction with patients is minimal, their feedback, gathered indirectly through healthcare partners, plays a crucial role in refining our offerings.
Scalability and Growth:
- Geographic Expansion: Our model is inherently scalable. We plan to expand our footprint across different regions, bringing advanced radiological services to areas where it's most needed.
- Technology Integration: Our continuous R&D ensures we remain at the forefront of technological advancements, be it in AI, data analytics, or teleradiology.
- Data Enhancement: As we grow, the influx of new data continually refines our AI models, ensuring they remain cutting-edge.
Sustainability:
- Our revenue model is anchored on a sustainable pay-per-report basis. This model ensures steady income from our client base, whilst accommodating the variable demand of radiology services. This transaction-based model encourages hospital adoption by minimizing upfront costs and resistance. As hospitals begin to see significant cost savings and efficiency gains, they gradually reduce their dependence on in-house radiologists.
Rology’s financial sustainability is predicated on a multipronged approach that leverages both our core strengths and market opportunities. Our vision is to ensure that while we bring transformative radiological solutions to the fore, we simultaneously ensure the long-term viability of our endeavors. Here’s our plan:
Scaling Sales:
- We aim to exponentially increase our reports delivered, targeting 1.2 million by the end of 2024. The increased volume is expected to generate considerable revenue, given our existing pricing structure.
- Scaling will be facilitated through targeted marketing campaigns, leveraging AI's capabilities in our offerings, and optimizing our platform's user experience to attract more healthcare providers.
Strategic Partnerships & Contracts:
- Ministries of Health (MoHs): Partnering with national health agencies can provide a steady stream of cases, given their extensive network of public health facilities. Such partnerships also enhance our credibility in the market.
- Hospitals and Polyclinics: We will actively seek contracts with hospitals and polyclinics, offering them our advanced teleradiology services. Volume discounts and customized packages can make our proposition more attractive.
- Imaging Chains: These entities present a high-volume opportunity. By integrating our services into their operations, we can ensure a consistent revenue stream.
Investment Capital:
- Series A Round: To fuel our growth and expansion plans, we're looking to raise capital through a Series A round. This will provide the necessary funds to enhance our technological infrastructure, expand our team, and penetrate new markets.
- We will pitch to venture capitalists and angel investors, emphasizing our unique value proposition, market potential, and demonstrated impact.
Sponsorship Programs:
- Recognizing that some institutions or regions might have financial constraints, we plan to launch sponsorship programs.
- Here, corporations can sponsor our services, ensuring that even financially constrained healthcare providers can benefit from advanced radiology services. This not only generates revenue for us but also enhances our brand image, as we align with corporates' CSR (Corporate Social Responsibility) initiatives.
- The sponsorship model can also attract non-profits and international agencies focused on healthcare improvement in underserved areas.
Diversified Pricing Models:
- Our revenue model is anchored on a sustainable pay-per-report basis. This model ensures steady income from our client base, whilst accommodating the variable demand of radiology services. This transaction-based model encourages hospital adoption by minimizing upfront costs and resistance. As hospitals begin to see significant cost savings and efficiency gains, they gradually reduce their dependence on in-house radiologists.
Continuous Value Addition:
- As the medical imaging and AI fields evolve, we plan to continuously upgrade our offerings, introducing new features and capabilities. This not only retains our existing clientele but also attracts new ones.
- Value-added services, like advanced analytics reports, consultations, or integrations with other healthcare systems, can be introduced as premium services, generating additional revenue.
Monitoring & Feedback:
- Regular financial audits, coupled with feedback from clients, will help us understand our revenue streams' performance. This will enable us to tweak our strategies, ensuring we remain on the path to financial sustainability.
Current Operating Costs (From 31/12/2022 to 31/7/2023):
Marketing Expenses: $11,141
- This encompasses costs related to advertising, promotions, content creation, social media campaigns, and other efforts directed towards market visibility and customer acquisition.
General and Administrative Expenses: $390,791
- These expenses include the day-to-day operations which are not directly tied to production. They cover areas like:
- Salaries of non-production staff
- Office rent and utilities
- Software subscriptions
- Administrative tools and supplies
- Training and professional development
- Miscellaneous office expenses
- These expenses include the day-to-day operations which are not directly tied to production. They cover areas like:
Projected Operating Costs for the Next Year (2023-2024):
Assumptions:
- A 10% increase in marketing expenses given our plans to expand our reach and penetrate new markets.
- A 15% increase in general and administrative expenses due to scaling operations, potential increase in salaries, office expansion, and additional overheads linked to growing the team and infrastructure.
Projected Marketing Expenses:
- Current: $11,141
- Projected Increase: 10%
- Projected Total: $12,255
Projected General and Administrative Expenses:
- Current: $390,791
- Projected Increase: 15%
- Projected Total: $449,410
Human Capital Estimates:
- Current Team: 59 full-time staff
- Given our ambitious growth targets, we anticipate expanding our team. Assuming a conservative 20% growth in human resources:
- Additional full-time staff: 12 (bringing the total to 71)
- The increased staff would proportionally impact the general and administrative costs, especially in areas like salaries, training, and infrastructure. This growth is factored into our 15% projected increase.
Total Projected Operating Costs for 2023-2024: $461,665 (Marketing + General and Administrative)
Given the substantial funding needs outlined in our Series A round and the strategic objectives that these funds are aimed at achieving, our request to you is not for the entirety of the required $5M. Instead, our funding request is specifically tailored to suit the magnitude of your program and the transformative impact it can provide to specific initiatives within our grander scheme.

A significant portion of the fund will fuel our focused geographical expansion into pivotal markets within the MEA region, namely KSA, Kenya, Ghana, and Nigeria. These markets represent a ripe opportunity for our innovative teleradiology platform to make substantial inroads. We recently acquired a fully licensed Saudi teleradiology provider to foster our expansion in the Kingdom. In addition to establishing business development activities in the United States to serve the U.S based on our FDA clearance.
The Total Addressable Market (TAM) in the MEA region stands at $10 billion per year, presenting an enormous growth opportunity for our platform. By focusing our operations and developments within this region, we aim to capture a substantial portion of this market, which is the Serviceable Addressable Market (SAM) of over $1.5bn. This investment will provide us with the necessary momentum to strategically position ourselves as a leading teleradiology platform within this high-potential market.

We also plan to channel a substantial portion of the investment into advancing our AI technological capabilities, building on our current AI models, and benefiting from our large data inventory (300M Diagnosed Medical Images). This would enable gradual automation of diagnosis, leading to greater efficiency and precision in our services. AI serves as a pivotal catalyst for Rology's growth, fueling our push into new markets and services. At Rology, we leverage AI to democratize access to high-quality radiology services. We believe in AI's potential to transform healthcare, making accurate diagnosis more accessible and efficient for all.

Funding Requested: $100k or above
Here's how we arrived at this number:
Strategic Geographical Expansion:
- While the majority of our Series A funding will be directed towards our broad expansion in the MEA region and establishing a presence in the U.S., this specific fund will be allocated to targeted, on-ground activations and outreach programs in countries like Kenya, Ghana, and Nigeria.
AI/ Machine Learning Development:
- The $100k would be invaluable in the initial research phase of newer AI models, allowing us to fast-track pilot testing or perhaps support acquiring specific data sets or technological tools.
Scaling Impact and Outreach:
- These funds can be instrumental in launching pilot initiatives, scaling our existing efforts, and gauging receptiveness in newer markets.
By earmarking your funds for these focused areas, we aim to maximize the impact of your investment, ensuring rapid progress and measurable outcomes.
Usage Breakdown of the $100k:
- Geographical Expansion
- AI/ Machine Learning Development
Seed Funding:
- This would provide an immediate boost to our existing initiatives and enable us to test new ones. More importantly, it would augment our current fundraising efforts, showing potential investors a vote of confidence from a recognized program, thereby adding credence to our objectives and amplifying our chances of raising our intended $5M.
Mentorship:
- The guidance from experts who've navigated similar challenges can be invaluable. Their insights can help us avoid potential pitfalls, refine our strategies, and maximize the efficiency of our operations.
- We're in a unique space, straddling technology and healthcare. Mentors who have experience in either or both of these domains can offer perspectives that could be transformational for our trajectory. Their seasoned insights can help streamline our processes, refine our approach, and ensure we're always moving in the most effective direction.
Lab Space:
- A dedicated space will not only provide a conducive environment for focused work but also the tools and equipment necessary for our AI development, facilitating quicker iterations and advancements.
Educational Programming:
- As a tech-driven solution in the healthcare domain, there's always more to learn. Whether it's the latest in AI research, regulatory intricacies, or best practices in telemedicine, the educational opportunities will ensure our team remains at the cutting edge of knowledge.
- The rapidly evolving nature of AI means there's always more to learn. The opportunity to delve deep into focused educational sessions, be it on AI advancements, telemedicine best practices, or even areas like ethics in AI, is an unparalleled advantage.
Networking Opportunities:
- Connecting with like-minded innovators, potential partners, and investors can accelerate our journey. Collaborative projects, strategic partnerships, or even shared learning can emerge from these interactions.
- Being in a community of innovators can lead to synergistic collaborations. The chance to share, learn, and collaborate with peers facing similar challenges, or even those in entirely different domains, can lead to unexpected and innovative solutions.
In essence, the Cure Residency offers more than just resources; it offers an environment that fosters growth, collaboration, and innovation. The blend of practical resources (like seed funding and lab space) with the intangible benefits of mentorship, education, and networking presents a holistic growth opportunity. We believe that embedding ourselves in such a rich ecosystem will not just support but exponentially enhance our mission, and we are keen to dive into this journey with enthusiasm and commitment.

Associate CEO at Rology

CEO