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.

47 businesses

Databox

Boston, Massachusetts, United States

Databox is an AI-powered analytics platform for teams that need clear, trusted answers fast. It helps understand what’s…

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Digital Pi

Dallas, Texas, United States

Deg creates digital marketing, commerce, and collaboration strategies that empower organizations to amplify their competitive…

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At DTN°, our mission is to empower you with intelligent and actionable insights. These insights, make sense of the data to help…

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gyro group

New York, New York, United States

Deg creates digital marketing, commerce, and collaboration strategies that empower organizations to amplify their competitive…

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i360

Arlington, Virginia, United States

I360 sits on the bleeding edge of technology, delivering innovative products and services through the strategic use of data…

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Inspirus

Fort Worth, Texas, United States

Inspirus, a pluxee company, offers employee engagement & recognition solutions that inspire employees and enhances the employee…

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The next decade belongs to brands that are positioned to win on customer experience. And the competition gets more fierce every…

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We measure ooh, dooh, mooh, and paid digital media. We measure for brand lift, foot traffic, in-app and web site activity.

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Shift7 Digital

New York, New York, United States

Deg creates digital marketing, commerce, and collaboration strategies that empower organizations to amplify their competitive…

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SpyCloud

Austin, Texas, United States

Spycloud transforms recaptured darknet data to disrupt cybercrime. Its automated identity threat protection solutions leverage…

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Strise

Oslo, Oslo County, Norway

With strise, the compliance lifecycle runs autonomously by default. New customers onboard in hours, not days. Risk is surfaced…

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Syntasa

Mclean, Virginia, United States

Syntasa offers data + AI expertise to empower data and marketing teams to extract meaningful insights from their data, make…

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Ugam

Mumbai, Maharashtra, India

Deg creates digital marketing, commerce, and collaboration strategies that empower organizations to amplify their competitive…

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Venntel

Herndon, Virginia, United States

Venntel enhances mission intelligence by uncovering valuable insights from human mobility around the globe. With the industry’s…

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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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