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.

120 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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We continually build and maintain over 1,000 predictive models for our clients annually and have won numerous head-to-head…

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Datalab Usa

Germantown, Maryland, United States

Datalab USA is an analytics-driven award-winning database marketing services company that focuses on optimizing multichannel…

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datalane

Pl, Netherlands

Datalane is a dutch, 's-hertogenbosch based management consulting company. At datalane, we specialize in process mining and…

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Data Ramp

Greensboro, North Carolina, United States

Data ramp provides the technology and services that enterprises need to take complete control of data optimization. We help…

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Data Ramp, powered by services like fetchcx, provides the technology and expertise enterprises need to take complete control of…

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Datavail

Boulder, Colorado, United States

Datavail | data, cloud & AI-built for real business outcomes Datavail is a data, cloud, and AI consultancy that helps…

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Datavail helps IT leaders modernize applications, migrate to the cloud, and build data-driven foundations—with less risk and more…

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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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DTN

Bloomington, Minnesota, United States

Dtn is a global data and technology company helping operational leaders in energy, agriculture, and weather-driven industries…

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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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Transform complex imagery into clear insights. Explore custom analytics and high-resolution visualization from our vast network…

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EOS Data Analytics

Mountain View, California, United States

Eos data analytics (eosda) is a global provider of AI-powered satellite imagery analytics founded by dr. Max polyakov, an…

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Exactdata

Rochester, New York, United States

Exactdata specializes in generating smart data with ground truth, which improves integration, development, training, and testing…

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ExactData specializes in automating the generation of large sets of fully artificial, engineered test data that meet the…

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FI Navigator Corporation

Atlanta, Georgia, United States

Fi navigator is the data and analytics platform guiding performance resourcing and strategy development for the u.s. Banking…

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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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HealthWise Data

Atlanta, Georgia, United States

Healthwise data provides the healthcare industry with social determinants of health (sdoh) and proprietary predictive data to…

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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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