Category

Sales Intelligence Software

For companies whose sales teams need accurate data on who to contact, when to reach out, and what to say — sales intelligence software and data providers.

44 businesses

Civis Analytics

Chicago, Illinois, United States

Civis analytics helps organizations use data to gain a competitive advantage in how they identify, attract, and engage their…

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Data enables companies—regardless of size—to outmaneuver and outcompete even their biggest rivals. Imagine what you can do with…

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Collective Data Solutions

Sandpoint, Idaho, United States

Collective data solutions provides premium privacy-first data feeds, advanced AI segmenting for audiences, and first-party…

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See why business data reliability is non-negotiable and achievable for your organization.

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Datagence

Phoenix

Datagence is solving the healthcare provider data crisis. Ghost networks. Inaccurate directories. Regulatory penalties. Health…

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Explorium

San Mateo, California, United States

Explorium is the leading B2B data layer for building high performance GTM agents. Our seamless API and mcp integrations power…

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The B2B data foundation for AI agents. Access go-to-market data and infrastructure built to power context-aware AI products and…

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forager.ai

Delray Beach

Forager.AI is a next-generation AI-powered data aggregation platform, delivering the most comprehensive and accurate global…

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Lead Me Media specializes in permission-based acquisition email marketing. We leverage micro-surveys with daily triggers to…

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MountainTop Data

Los Angeles, California, United States

We help marketers spend more time marketing and less time digging through data. Mountaintop data provides data cleaning and…

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Founded in 2011, predictable data offers a cloud based data quality solution for smbs that can monitor, correct, standardize and…

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Salutary Data offers data enrichment solutions that enhance contacts and company data quality, empowering businesses to make…

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Salutary Data

Massachusetts

Salutary data is the leading provider of foundational data that drives the most advanced data platforms and products in the…

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At smarte, we understand the challenges faced by revenue-generating teams. That's why we've created a global B2B sales…

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Wiland

Niwot, Colorado, United States

Wiland is a data science company dedicated to helping brands and nonprofits find, keep, and grow their best customers. Using…

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At Wiland, we help brands and nonprofits find, keep, and grow their best customers by transforming extensive consumer spend and…

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These businesses supply the data and signals a sales team needs to work a list that's actually worth working: verified contact details, org charts, company firmographics, technology stacks, funding events, hiring trends, and — increasingly — signs that a specific account is in-market right now. Hire one and what changes is simple: reps stop cold-guessing who to call and start prioritising accounts with a reason to buy, with a phone number and email that still work.

The trigger is usually a CRM full of dead contacts and a pipeline that doesn't match the target market. Reps are burning hours on LinkedIn trying to find the right person at an account, marketing is sending emails that bounce, and nobody can say with confidence which companies are actually shopping. Lists bought years ago have decayed — people change jobs constantly — and the sales team's instinct for who's a good fit isn't backed by any data on firmographics or buying signals.

Providers tackle this from different angles. Some are primarily data businesses: they build and maintain databases of contacts and companies, sourced from public filings, web crawling, partner networks or user-contributed data, then sell access via credits or seats. Others focus on intent — tracking web and content consumption to flag accounts researching a problem you solve, often layered on top of a data feed rather than replacing it. A separate group specialises in the harder, narrower job of registries and licensing data for regulated roles like brokers, where accuracy has legal consequences.

When comparing them, look past the feature list to the sourcing and refresh rate: how the contact and firmographic data is collected, how often it's verified, and what happens when it's wrong. Compare coverage by region and industry — a database strong in US tech accounts may be thin on European manufacturing. Check integration depth with your CRM and outbound tools, since data that sits in a separate dashboard rarely gets used. And weigh pricing models carefully: per-seat licensing suits steady daily use, while credit-based pricing can get expensive fast if your team pulls data in bulk.

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