Windocks provides on-demand Oracle, SQL Server, as well as other databases that can be customized for Dev, Test, Reporting, ML, DevOps, and DevOps. Windocks database orchestration allows for code-free end to end automated delivery. This includes masking, synthetic data, Git operations and access controls, as well as secrets management. Databases can be delivered to conventional instances, Kubernetes or Docker containers.
Windocks can be installed on standard Linux or Windows servers in minutes. It can also run on any public cloud infrastructure or on-premise infrastructure. One VM can host up 50 concurrent database environments. When combined with Docker containers, enterprises often see a 5:1 reduction of lower-level database VMs.
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RXNT's cloud-based, ambulatory healthcare software empowers medical practices and healthcare organizations of all sizes and most specialties to launch, succeed, and scale through innovative, data-backed, AI-powered software.
Our integrated, ONC-certified healthcare software system—including Electronic Health Records, Practice Management, Medical Billing and RCM, E-Prescribing, Practice Scheduling, Patient Portal, and more—will streamline clinical outcomes, practice management, and revenue cycle management for your medical organization.
RXNT is trusted by over 60 thousand providers and medical professionals across all 50 states in the U.S.A. to drive business growth, optimize operations, and improve the quality of patient care.
All of our SaaS-based software products can be purchased standalone, but you can run you entire practice—from encounter to billing—with our unified Full Suite system. It utilizes a secure, central database so your data passes through every product in real-time from anywhere. Using our software, more than 125MM prescriptions have been transmitted and over $7B in claims have been processed.
Our predictable, transparent subscription pricing model includes free setup & training, support, mobile apps, and more.
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DataGen
DataGen delivers cutting-edge AI synthetic data and generative AI solutions designed to accelerate machine learning initiatives with privacy-compliant training data. Their core platform, SynthEngyne, enables the creation of custom datasets in multiple formats—text, images, tabular, and time-series—with fast, scalable real-time processing. The platform emphasizes data quality through rigorous validation and deduplication, ensuring reliable training inputs. Beyond synthetic data, DataGen offers end-to-end AI development services including full-stack model deployment, custom fine-tuning aligned with business goals, and advanced intelligent automation systems to streamline complex workflows. Flexible subscription plans range from a free tier for small projects to pro and enterprise tiers that include API access, priority support, and unlimited data spaces. DataGen’s synthetic data benefits sectors such as healthcare, automotive, finance, and retail by enabling safer, compliant, and efficient AI model training. Their platform supports domain-specific custom dataset creation while maintaining strict confidentiality. DataGen combines innovation, reliability, and scalability to help businesses maximize the impact of AI.
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ArborMetrix
At ArborMetrix, our aim is to enhance healthcare through data science, while our enthusiasm lies in providing impactful, user-friendly technology and analytics. Our advanced healthcare analytics solutions are designed to yield precise, clinically-rich insights that enhance clinical outcomes, boost financial effectiveness, add value for stakeholders, and evaluate the real-world success of treatments, procedures, medical devices, and pharmaceuticals. One of the significant benefits of patient registries is their application across various medical fields, with post-market surveillance standing out as a particularly important function. To assist you in establishing a reliable data resource, we follow a systematic approach. First, it’s essential to have an effective and secure method for gathering substantial amounts of real-world data, which is crucial for thorough analysis. By utilizing the appropriate technology, you can aggregate data from diverse sources such as medical records, regulatory bodies, and patient-reported outcomes to support post-market surveillance initiatives. This comprehensive approach not only streamlines the data collection process but also enhances the overall quality of insights derived from the analysis.
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