REDOX is an AI tool that identifies potential risks associated with companies by thoroughly analyzing vast data sources. Our AI system autonomously scans for risk indicators across key categories, including fraud, criminal activity, business risk, political exposure, and adverse media.
REDOX is engineered as an integration of custom AI modules and state of the art ML libraries, constantly evolving to promptly integrate the latest advancements in AI research. This dedication to innovation ensures REDOX remains at the forefront of risk assessment technology.
REDOX delivers results grounded in evidence and factual data transparently. When confronted with data of questionable integrity, divergent facts, or sourced from platforms with lower credibility, the system adjusts and communicates the level of confidence in its outcomes.
Understanding context is crucial. REDOX’s AI engine analyzes the networks relevant to an inquiry, uncovering broader contexts to accurately assess risk. By progressively mapping out connections based on data cues, it offers a comprehensive view of the risk landscape.
REDOX allows for extensive customization across multiple dimensions to align with business priorities. The system’s data acquisition capabilities can be tailored to include proprietary internal sources alongside configurable general patterns for harvesting open Internet data. Further customization influences how the AI processes and consolidates findings, a must-have feature for handling large-scale batch processing efficiently.
REDOX leverages real-time data acquisition, ensuring analyses are based on the most current information available. The depth of data collection is dynamically adjusted to align with the complexity and specifics of each case, with standard processing times of mere seconds. However, variations may occur due to the nature of data sources and system configurations.
Built on solid engineering principles, REDOX exemplifies modern AI system robustness. Its architecture supports diverse delivery models—including managed services, cloud, or on-premises solutions—catering to unique customer needs. The system’s adaptability allows for immediate experimentation, customization, and performance assessment of AI models, ensuring operational excellence.
Online risk assessment for companies or organizations using provided identification information.
Get instant access to REDOX via your web browser. You can also download PDF reports with auditing data for each assessment case.
REDOX can be seamlessly integrated with existing customer systems through our managed cloud services.
The API enables real-time response for submitted cases, or you can process batches at practically any scale.
We also provide custom solutions, including on-premises delivery, specialized case triage and tuning of automated decision process.
We are committed to leading the forefront of Responsible AI. Our dedication is built on four foundational principles: Explainability, Evidence-based decision-making, Auditable processes, and a sharp focus on Security & Privacy. They are the ethical backbone of our daily technological and operational work.
REDOX is committed to transparency. We make it clear how our AI comes to its conclusions, providing users with insights into the sources and decision-making process, and thus ensuring our AI’s actions are understandable.
REDOX is designed with a focus on accuracy and evidence. It collects and analyzes data from various sources to ensure decisions are made on a solid foundation of evidence and facts, integrating diverse perspectives for a comprehensive view.
The system documents every piece of data used in the results, providing details on the authority of these data sources and how REDOX has scored them. This ensures that our AI insights can be reviewed and understood.
The security of our users’ data is our top priority. REDOX adheres to the highest security protocols and complies with all regulations related to public data sources. We guarantee the privacy of user data and the generated results. We maintain a strict policy against sharing or training AI with your data.
REDOX leverages thousands of data sources on the Internet combined with licensed data from partners.
Creating successful AI solutions often requires more than training a single AI model. A comprehensive approach, like that used in the REDOX system, integrates multiple advanced AI and ML technologies. However, achieving success doesn’t stop there. Configuration and customization are crucial to harnessing the full potential of AI technologies. Solutions must integrate smoothly with existing IT infrastructures, promoting seamless operation and efficiency. The development of REDOX reflects these principles, striving for a seamless integration of innovation, adaptability, and technological collaboration.
The power behind the REDOX system is a world-class team comprised of specialists in various domains including AI and machine learning, data science, big data processing, and high-performance computing. Our team is not only adept at navigating the complexities of AI development but also excels in creating robust IT systems that support and elevate the functionalities of AI technologies. Their combined expertise ensures that REDOX is developed and maintained to the highest standards.
When it comes to deploying AI at scale, practical experience is invaluable. The team behind REDOX brings a wealth of hands-on experience in building and deploying AI solutions that are both effective and efficient. This extensive experience contributes to cost efficiency and significantly enhances the quality of results produced by the system. The depth of our practical work and knowledge sets the REDOX system apart, marking it as a leader in delivering impactful and innovative AI solutions.
