Ansarada brings order to organizational chaos to increase business value.
Ansarada is a total deal lifecycle management platform that provides world-leading AI-powered Virtual Data Rooms and dealmaking tools. These tools include advanced AI insights and automation, next level Q&A and collaboration, plus purpose-built, digitized and customizable workflows and checklists for M&A, capital raising, business audits, tenders and other high stakes outcomes.
Unlike some competitor Virtual Data Rooms, Ansarada offers free trials, 24/7 localized expert support, integrated Q&A via email, AI-assisted deal prediction, plus easy drag and drop upload and superior document security controls. Manage and maximize your Deals with Ansarada Always & Secure File Share. Ansarada is designed to drive stronger business outcomes based on best practices from over 35,000 transactions.
Learn more
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
MAISi
Historically, managing clinical trials at investigator sites involved either the cumbersome task of maintaining numerous shared spreadsheets or investing in costly software that often did not fit the Australian context. MAISi represents a revolutionary shift in this landscape. Originating in 2001 as a data repository for clinical trials at a prominent hospital, MAISi has transformed into an advanced workflow application designed to streamline various functions within research units. Serving as a centralized database, MAISi efficiently organizes information related to studies and the corresponding business units that manage them. This structured approach enhances management decision-making capabilities. Individual staff members within each business unit can access specific data pertaining to their studies, patients, investigators, and study team members, while those with broader access rights, typically Financial Officers and System Administrators, can view comprehensive data across all units. Additionally, this streamlined access promotes collaboration and improves overall operational efficiency.
Learn more
Omda MedSciNet
Omda MedSciNet solutions enhance the quality, usability, and administration of medical data throughout its lifecycle from collection to analysis. This secure and standardized software streamlines the process for clinical researchers and other professionals in healthcare and academia, allowing for the efficient gathering and examination of well-organized medical data. The dedicated Omda team excels in the development and management of customized database applications, as well as designing clinical studies tailored for medical research and quality registries. The Omda MedSciNet study platform offers a dependable, feature-rich, and highly adaptable online environment suitable for hosting and managing complex study and clinical trial systems. With a proven track record spanning 20 years, Omda MedSciNet has effectively supported studies and clinical trials of various scopes and sizes. Standard implementations come equipped with a comprehensive array of components essential for launching fully functional studies or clinical trials, ensuring that researchers have all the necessary tools at their disposal. This commitment to quality and customization positions Omda MedSciNet as a leader in the field of medical data management.
Learn more