Teradata VantageCloud
Teradata VantageCloud: Open, Scalable Cloud Analytics for AI
VantageCloud is Teradata’s cloud-native analytics and data platform designed for performance and flexibility. It unifies data from multiple sources, supports complex analytics at scale, and makes it easier to deploy AI and machine learning models in production. With built-in support for multi-cloud and hybrid deployments, VantageCloud lets organizations manage data across AWS, Azure, Google Cloud, and on-prem environments without vendor lock-in. Its open architecture integrates with modern data tools and standard formats, giving developers and data teams freedom to innovate while keeping costs predictable.
Learn more
DXcharts
In just a few days, you can integrate and customize a lightning-fast financial table with your product. You can make changes or create a completely new interface. You want more? We offer a full access alternative. Data feeds with futures and indices, equities, FX and cryptocurrencies by default. Sign up now to get your data feeds. DXcharts can be integrated with any market data source, as it is data feed-agnostic. Native libraries for all platforms. Native web, native mobile & desktop. Get a solution that is specifically tailored to your product. Analyzing statistics from trading activity can help you evaluate securities and predict their future movements. You can create custom studies with the intuitive dxScript. You can adjust the layout of charts however you like and sync them by instrument, chart type and timeframe, range, studies & appearance.
Learn more
Sahha
An API platform designed for health data aggregation and intelligence offers a single REST API to access wellness scores, over 50 biomarkers, and behavioral analytics sourced from smartphones and wearable devices, eliminating the need for direct device integration. The platform provides real-time webhook delivery, extensive SDK support for iOS, Android, React Native, and Flutter, all while maintaining GDPR compliance, which simplifies the process by removing the necessity for custom device integrations and machine learning model creation.
Key features include a unified REST API for health data, real-time webhook events, integration with major platform APIs like Apple HealthKit and Google Health Connect, and support for cross-platform SDKs, along with advanced behavioral intelligence processing. Developers benefit from five pre-configured wellness scores—covering Wellbeing, Activity, Sleep, Mental Wellbeing, and Readiness—over 50 raw biomarker data points, insights into behavioral archetypes and pattern recognition, as well as trend analysis and anomaly detection, complemented by 30 days of data retention with the option for unlimited access upon request.
This platform is thoroughly supported by research, ensuring its credibility and effectiveness in enhancing health insights.
Learn more
REDCap Cloud
REDCap Cloud serves as a comprehensive data-science platform that empowers organizations to gather, integrate, standardize, analyze, and disseminate clinical and research data that meets real-world and regulatory standards, all within a cohesive, standards-driven system. This platform facilitates the complete lifecycle of randomized clinical trials and real-world evidence research by providing diverse modules tailored for intricate trial design and execution, a centralized clinical data hub that integrates both eCRF and non-eCRF sources, AI/ML capabilities for real-time operational and data insights, and seamless connectivity to eSource and EHR systems. Additionally, it enhances patient engagement through tools like ePRO/eCOA and wearable devices, accommodating both hybrid and decentralized trial models. The analytics features include options for synthetic control arms and digital twins, ensuring adherence to global security compliance standards. Ultimately, REDCap Cloud is designed to mitigate data silos, eliminate vendor fragmentation, facilitate bidirectional data flows, and offer sponsors, CROs, and health systems comprehensive visibility and oversight regarding site performance, study data integrity, and regulatory preparedness. By streamlining these processes, organizations can achieve greater efficiency and effectiveness in their research endeavors.
Learn more
