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Top 2 AI Sales Assistant Software Companies $100M+ Revenue (September 2026)

As of September 2026, Latka tracks 2 AI sales assistant software companies with $100M+ in annual revenue. They have combined revenues of $203.4M and employ 1.6K people. They have raised $100M and serve 10K customers combined.

Every company below sells AI sales assistant 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.

What AI Sales Assistant Software Companies do

AI Sales Assistant Software uses artificial intelligence to enhance and streamline the sales process for organizations. These tools automate mundane tasks, facilitate lead scoring, and provide sales teams with actionable insights to improve their performance. By leveraging machine learning, predictive analytics, and smart automation, these solutions enable sales professionals to focus more on engaging customers rather than on administrative tasks. The primary use cases of AI sales assistants include automating follow-up communications, managing CRM updates, and offering personalized recommendations based on historical data and current market trends. Typical features may range from intelligent scheduling and meeting preparation to real-time analytics and sales forecasting. Common buyer personas include sales operations managers, sales representatives, and revenue team leaders who aim to increase efficiency and drive revenue growth.

Companies
2
Revenue
$203.4M
Funding
$100M
Employees
1.6K

Filters

Sorting: Highest -> Lowest

Filters

Top AI Sales Assistant Software Companies $100M+ Revenue

Showing 2 of 2 companies ranked by annual revenue.

1Impel logo
Impel

Syracuse, New York, United States

Impel offers a digital engagement platform for vehicle retailers and is recognized as the automotive industry's most advanced AI-powered customer lifecycle management platform.

Revenue
$103.4M
Year founded
2014
Team size
520
2Clay logo
Clay

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 .​

Revenue
$100M
Customers
10K
Year founded
2017
Funding
$100M
Team size
1K
Growth
222.58%

Frequently asked questions about AI Sales Assistant Software Companies $100M+ Revenue

How many AI sales assistant software companies with $100M+ in annual revenue are there?

Latka tracks 2 AI sales assistant software companies with $100M+ in annual revenue. Together they generate $203.4M in annual revenue and employ 1.6K people.

Which AI sales assistant software company with $100M+ in annual revenue is the largest?

Impel is the largest, with $103.4M in annual revenue, founded in 2014.

How much revenue does a typical AI sales assistant software company with $100M+ in annual revenue make?

The average AI sales assistant software company in this list makes $101.7M a year, across 2 companies with reported revenue. They serve 10K customers combined.

Who are the leading AI Sales Assistant software vendors with $100M+ in annual revenue?

Ranked by annual revenue, the leaders are Impel and Clay.

How much funding have AI sales assistant software companies with $100M+ in annual revenue raised?

The 2 AI sales assistant software companies with $100M+ in annual revenue tracked here have raised $100M in disclosed funding between them.

Related Sales Tools categories

Inclusion Criteria

- Must automate repetitive sales tasks such as follow-ups and CRM updates. - Should provide analytics and insights to enhance sales strategies. - Must include features for lead scoring and prioritization. - Should be designed for sales professionals, including sales reps and sales operations teams. - Not just a communication tool; must also offer predictive analytics and recommendations.