As of November 2026, Latka tracks 4 sales intelligence software companies with $100M+ in annual revenue. They have combined revenues of $600.3M and employ 3.4K people. They have raised $875.3M and serve 15.2K customers combined.
Every company below sells sales intelligence software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
Sales Intelligence Software refers to a category of tools designed to collect, analyze, and provide insights from data to enhance sales performance. By automating the data collection process, these tools allow sales teams to focus on strategy rather than manual data entry. Common features include lead generation, CRM integration, predictive analytics, and activity tracking, which help teams understand their prospects better and optimize their outreach efforts. Typically, these solutions offer functionalities such as real-time data analysis, reporting capabilities, and customer segmentation. Users of sales intelligence software often include sales representatives, sales managers, and business development teams, who leverage actionable insights to drive sales strategies and improve decision-making. The software is crucial for organizations aiming to enhance their sales processes by utilizing data-driven strategies to identify potential clients and improve customer engagement.
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Showing 4 of 4 companies ranked by annual revenue.
San Francisco, California, United States
a B2B predictive intelligence platform that helps sales and marketing teams identify potential customers who are in the market for their products or services
Encino, California, United States
Callbox is a worldwide recognized leader in B2B Lead Generation powered by AI and human expertise, having been one of the top lead generation experts for the past many years. With a team of over 700 marketing professionals and a massive in-house B2B database, we help businesses of all sizes and industries achieve their growth and revenue goals. Our proprietary AI-powered lead generation platform called "SMART Engage" helps us to identify and qualify leads, personalize content, and track results. This allows us to deliver high-quality leads that are more likely to convert into customers.To get in touch with decision-makers at various stages of the conversion cycle, we use a combination of inbound and outbound channels such as the website, chat, events, email, voice, social media, and SMS. We have a proven track record of success, having completed over 10,000 campaigns in various B2B verticals and geographical areas. We are committed to helping our clients achieve their business objectives, and we believe that AI-powered lead generation is the best way to do that. Contact us today to learn more how Callbox uses AI and human expertise to generate high-quality leads.
New York, New York, United States
Clay is a New York-based AI-powered sales intelligence and data enrichment platform designed to help growth and revenue operations (RevOps) teams automate personalized outreach and build comprehensive customer profiles. Founded in 2017 by Kareem Amin and Nicolae Rusan, the company has raised $102 million in funding, achieving a valuation of $1.3 billion as of early 2025 .
Latka tracks 4 sales intelligence software companies with $100M+ in annual revenue. Together they generate $600.3M in annual revenue and employ 3.4K people.
6sense is the largest, with $200M in annual revenue, founded in 2013.
The average sales intelligence software company in this list makes $150.1M a year, across 4 companies with reported revenue. They serve 15.2K customers combined.
Ranked by annual revenue, the leaders are 6sense, Callbox Inc., Apollo.io and Clay.
The 4 sales intelligence software companies with $100M+ in annual revenue tracked here have raised $875.3M in disclosed funding between them.
- The software must facilitate the collection and analysis of customer and market data. - Features should include lead generation and qualification capabilities. - Must integrate with existing CRM systems to enrich sales data. - Should provide actionable insights and reporting functions for sales teams. - Not just provide data storage; must also analyze and transform data into strategic recommendations.
