
D&B Hoovers is a sales intelligence and revenue workflow platform that helps organizations identify, prioritize, and act on buying signals. By combining trusted company and contact data with buyer intent, website engagement insights, trigger events, and AI-powered assistance, D&B Hoovers helps revenue teams uncover opportunities sooner and make more informed decisions throughout the sales cycle.
Built on the Dun & Bradstreet Data Cloud, D&B Hoovers provides comprehensive business intelligence, including company profiles, corporate family structures, decision-maker contacts, industry information, financial insights, company news, and market intelligence. Advanced search and segmentation capabilities allow users to identify high-potential accounts and build targeted prospect lists based on business characteristics, growth indicators, and buying signals.
D&B Hoovers integrates into existing sales and revenue workflows, helping teams reduce research time, prioritize outreach, monitor account activity, and engage buyers with greater relevance. Real-time business triggers and account intelligence help organizations understand changing customer needs, identify opportunities, and focus efforts on the accounts most likely to convert.
Whether supporting prospecting, account planning, pipeline generation, or revenue operations, D&B Hoovers provides the trusted intelligence and contextual insights needed to help teams work more efficiently and drive better business outcomes.
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JDisc Discovery is a powerful IT asset management and network discovery tool, designed to provide organizations with clear, real-time insights into their entire IT environment. By automatically scanning the network, it identifies and catalogs devices, from physical servers and workstations to virtual machines and network appliances, giving users a detailed inventory of their assets. The tool captures essential data such as hardware specifications, installed software, system configurations, and interdependencies among devices.
A key advantage of JDisc Discovery is its agentless architecture. Rather than requiring installation on each device, it uses multiple protocols (like SNMP, SSH, WMI) to gather information, ensuring quick deployment and compatibility across various operating systems, including Windows, Linux, and Unix. This makes it ideal for diverse and dynamic IT ecosystems, enabling efficient and non-intrusive data collection.
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DNAnexus Apollo
DNAnexus Apollo™ enhances the efficiency of precision drug discovery by fostering collaboration that extracts valuable insights from omics data. The process of precision drug discovery involves the aggregation and examination of vast amounts of omics and clinical information. These extensive datasets serve as valuable assets; however, many traditional and custom-built informatics tools struggle to manage their intricacies and scale. Additionally, the effectiveness of precision medicine initiatives can be hindered by fragmented data sources, inadequate collaboration tools, and the challenges posed by complex, evolving regulatory and security demands. By enabling scientists and clinicians to jointly investigate and interpret omics and clinical data within a unified framework, DNAnexus Apollo™ bolsters precision drug discovery efforts. This platform, which is powered by a resilient and scalable cloud infrastructure, facilitates the seamless and secure sharing of data, tools, and analyses among peers and collaborators, regardless of whether they are nearby or across the globe. Ultimately, Apollo not only streamlines the data-sharing process but also enhances the overall collaborative experience in the pursuit of innovative drug discoveries.
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LiveDesign
LiveDesign serves as an integrated informatics solution that empowers teams to accelerate their drug discovery initiatives through collaborative design, experimentation, analysis, tracking, and reporting on a unified platform. It allows for the collection of innovative ideas alongside experimental and modeling data seamlessly. Users can develop and archive new virtual compounds within a centralized repository, assess them with sophisticated models, and prioritize the most promising designs. By merging biological data and model outputs from various corporate databases, the platform leverages advanced cheminformatics to provide a comprehensive analysis of all information simultaneously, facilitating quicker compound development. The platform employs cutting-edge physics-based methodologies along with machine learning to enhance prediction accuracy significantly. Teams can collaborate in real-time, regardless of location, enabling them to share concepts, conduct tests, make revisions, and progress chemical series while maintaining a clear record of their work. This not only fosters innovation but also ensures that projects remain organized and efficient throughout the drug discovery process.
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