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.

61 businesses

acronym

New York, New York, United States

The acronym difference. Acronym was founded in 1995 because everyone was searching the internet and no one could find what they…

5.0

Steppingblocks

Atlanta, Georgia, United States

Steppingblocks is a big data analytics company that provides workforce and education insights using advanced machine learning and…

5.0

Highspot

Seattle, Washington, United States

Highspot helps companies around the world turn go-to-market strategy into consistent, revenue-driving execution. Our unified…

4.7 972 reviews

Ambition

Chattanooga, Tennessee, United States

With ambition, you can coach every rep with custom coaching cadences, track performance improvements and employee development…

4.6 512 reviews

TalentWall

San Francisco, California, United States

Crosschq is the world's first operating system purpose-built for hiring intelligence. The company provides talent-driven…

4.6 124 reviews

Salesloft

Atlanta, Georgia, United States

Together, clari and salesloft create a category-transforming AI company for revenue, building the foundation for a predictive…

4.5 3354 reviews

Demandbase

San Francisco, California, United States

Demandbase is the only pipeline AI platform that empowers GTM teams to automate growth at scale. With a unified view of data…

4.3 773 reviews

Tropar� mProspector

Laguna Beach, California, United States

Troparé is a software company developing self-service B2B data solutions that empower marketing and sales professionals to…

4.0

Meltwater

New York, New York, United States

Klear is now officially part of meltwater. We invite you to join us on this journey by following meltwater. Learn more about the…

3.9 1218 reviews

InfluxData

San Francisco, California, United States

Influxdata is the creator of influxdb, the leading time series platform used to collect, store, and analyze all time series data…

3.7

Qualfon

Highland Park, Michigan, United States

Qualfon provides 360 degrees of customer experience support for your business with mission-driven processes that keep each person…

3.5

The Shelf

Atlanta, Georgia, United States

We are the shelf the influencer operating system for modern ROI Your ROI is now at the mercy of algorithms. The old influencer…

3.5 1 reviews

1010data

New York, New York, United States

For more than 20 years, 1010data has helped financial, retail and consumer goods customers monitor shifts in consumer demand and…

Unrated

Above Data

San Francisco, California, United States

Above data is an applied AI platform for data-driven marketing. Our platform brings structure & clarity to the messy worlds of…

Unrated

Aidentified

Concord, Massachusetts, United States

Our passion to reshape the way people prospect through innovative uses of technology and data inspired us to launch aidentified…

Unrated

Altrata

New York, New York, United States

We’re a global partner delivering data and intelligence on the most impactful people to our clients’ success. Altrata is…

Unrated

App Science Insights

Los Angeles, California, United States

App science® stands alone by taking a mobile-first approach to advanced cross-platform analytics with our proprietary household…

Unrated

AudiencePoint

Chattanooga, Tennessee, United States

Audiencepoint is an engagement intelligence company built for high-stakes moments-when performance, budgets, and deadlines don’t…

Unrated

Azira

Pasadena, California, United States

Azira llc, a global consumer insights platform, helps marketing and operational leaders improve their effectiveness with…

Unrated

BIGDBM

Surfside, Florida, United States

With over 1 years of building one of the most advanced identity graphs at big data scale, our data is more than just vast-it’s…

Unrated

Business Data Leadership

Round Rock, Texas, United States

Over more than 20 years of leading data and data analytics functions, maria villar and I have had the opportunity to work with a…

Unrated
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Showing 24 of 61 — 37 more to see.

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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