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.

52 businesses

Crustdata

San Francisco

People and company search for AI Power any AI agent in sales, recruitment and investment with the freshest, most trusted data…

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Dataiku is the Platform for AI Success that unites people, orchestration, and governance to turn AI investments into measurable…

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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 Maverick transforms data into your competitive advantage for finance, healthcare & insurance firms. With over 50+ years of…

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Data Maverick

Philadelphia

At data maverick, we help you transform this data into actionable insights with speed and precision. Our approach is simple…

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At Datasite, our virtual data rooms (VDRs) help dealmakers around the world close more deals faster. Request a free demo today!

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

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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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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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It’s no secret that B2B enterprise sales is extremely difficult and even small percentage upticks can translate to substantial…

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Globality

Palo Alto, California, United States

In this new era of the autonomous enterprise, globality empowers leading global companies to achieve substantial savings and…

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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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Jigyasa Analytics

Millburn, New Jersey, United States

At jigyasa analytics, we help organizations make better business decisions by harnessing the power of data science, machine…

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LOTaDATA

San Francisco, California, United States

Lotadata is short for a lot of data. We curate geospatial ground truth data sets by combining public and private data sources on…

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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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