D&B Hoovers is a sales intelligence and revenue workflow platform that helps sales and marketing teams identify opportunities, prioritize prospects, and engage buyers with confidence.
By combining trusted company and contact intelligence with buyer intent data, trigger events, website engagement insights, and AI-powered assistance, D&B Hoovers helps organizations discover new opportunities, connect with key decision-makers, and focus on the accounts most likely to convert.
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Qloo is an AI-powered cultural intelligence and consumer taste prediction platform that helps businesses understand audience preferences, personalize recommendations, and improve marketing decisions. The platform analyzes more than 600 million structured cultural entities and over 30 trillion cross-domain relationships and behavioral signals across entertainment, dining, travel, retail, fashion, and other industries. Its proprietary Taste AI technology identifies connections between consumer interests, brands, products, locations, and cultural experiences without requiring personally identifiable information. Qloo provides audience intelligence, cultural data enrichment, personalized recommendations, geographic insights, and AI agent grounding through its API and data services. Businesses can use the platform to develop recommendation engines, identify brand partnerships, optimize marketing campaigns, and tailor products or experiences to specific audiences. Qloo also supports integration with large language models, customer data platforms, data warehouses, and enterprise applications to deliver privacy-focused personalization at scale.
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Merciv
Merciv is the consumer intelligence platform that connects your internal data and the external world into one living, cited source of truth — so teams can answer any question about their consumers and brand in minutes.
Merciv unifies four knowledge sources: internal knowledge (research, decks, spreadsheets, and systems like Snowflake, Looker, and SharePoint), external signals (social, reviews, search and trend data, competitive activity, pricing), syndicated data (NielsenIQ, Circana, Mintel), and Merciv-owned product and category data. A knowledge graph, hybrid retrieval, and code execution for spreadsheets power accurate, source-backed answers.
Teams use Merciv for consumer perception, SKU-level sentiment and complaint analysis, competitive intelligence, trend monitoring, deep research, data-grounded personas, and decision-ready reports, briefs, and decks. Every answer is cited, permission-aware, and auditable: SOC 2 Type II, tenant isolation, zero-training, SSO/SCIM.
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