HCP Reach Verified Customer Reviews (2026)

D&B Hoovers helps sales, marketing, and revenue teams find better opportunities, engage buyers more effectively, and accelerate revenue growth. By combining trusted company and contact intelligence with buyer intent data, website engagement insights, business triggers, and AI-powered recommendations, D&B Hoovers helps organizations focus on the opportunities that matter most.   Teams use D&B Hoovers to discover new prospects, identify decision-makers, prioritize target accounts, and create more meaningful customer conversations. The platform provides a complete view of companies and buying signals, helping users understand who to engage, when to engage, and why an opportunity deserves attention.   Backed by the Dun & Bradstreet Data Cloud, D&B Hoovers delivers trusted business intelligence across millions of companies and contacts worldwide. Users can leverage advanced prospecting tools, account insights, market intelligence, and real-time business events to support more informed sales and marketing strategies.   By reducing manual research, improving account prioritization, and helping organizations act on buying signals faster, D&B Hoovers enables teams to increase productivity, improve pipeline quality, and drive more predictable revenue outcomes.

Dragonfly acts as a highly efficient alternative to Redis, significantly improving performance while also lowering costs. It is designed to leverage the strengths of modern cloud infrastructure, addressing the data needs of contemporary applications and freeing developers from the limitations of traditional in-memory data solutions. Older software is unable to take full advantage of the advancements offered by new cloud technologies. By optimizing for cloud settings, Dragonfly delivers an astonishing 25 times the throughput and cuts snapshotting latency by 12 times when compared to legacy in-memory data systems like Redis, facilitating the quick responses that users expect. Redis's conventional single-threaded framework incurs high costs during workload scaling. In contrast, Dragonfly demonstrates superior efficiency in both processing and memory utilization, potentially slashing infrastructure costs by as much as 80%. It initially scales vertically and only shifts to clustering when faced with extreme scaling challenges, which streamlines the operational process and boosts system reliability. As a result, developers can prioritize creative solutions over handling infrastructure issues, ultimately leading to more innovative applications. This transition not only enhances productivity but also allows teams to explore new features and improvements without the typical constraints of server management.

Explorium is a B2B data intelligence and infrastructure platform designed to supply business information, contact data, and contextual signals to sales teams, marketing organizations, developers, and AI agents. The platform consolidates information from more than 100 sources into structured datasets that support prospecting, account identification, enrichment, and automated go-to-market workflows. Its data coverage includes more than 146 million business entities, 767 million professional profiles, 90 million geospatial data points, and over 4,000 business signals. Available information includes firmographics, technographics, business events, professional contact details, geographic information, and other attributes that help organizations understand potential customers. Explorium's AgentSource APIs provide programmatic access to this information, enabling developers to incorporate business intelligence directly into AI-powered applications and autonomous agents. The APIs are designed for agentic workflows, using structured operations, consistent identifiers, and informative error messages to support reliable automated data retrieval. Explorium also provides Model Context Protocol connectivity and Server-Sent Events support for integrating its data infrastructure with AI agents and applications. Natural-language querying allows agents to request relevant business information without requiring users to manually navigate complex datasets. Automated target discovery helps identify companies that match specific business criteria, while personalized signal creation enables organizations to define indicators relevant to their prospecting and engagement strategies. Contact enrichment and messaging capabilities provide additional context for identifying decision-makers and preparing personalized sales communications.