CB Insights publishes the AI 100, a yearly list of the “most promising private companies providing hardware and data infrastructure for AI applications, optimizing machine learning workflows, and applying AI across a variety of major industries.”
The selections come from a pool of 3,000+ companies being tracked by CB Insights, and are chosen based on factors like patent activity, investor profile, and market potential.
The startups are categorized by industry groupings devised by CB Insights.
Every year, we like to keep tabs on the AI startups likely to make waves in the marketing industry. Here’s a rundown of CB Insights’ picks in the “Ads, Sales and Marketing” category.
For each company, we’ve included a short description and their current funding (as of writing) using data pulled from Crunchbase Pro.
With over $133 million in funding, Gong uses AI to “clone” your most successful sales reps by tracking customer interactions and analyzing them to determine what’s working best.
Unbabel has $91.2 million in funding for its AI-powered language translation solutions. Those solutions are used to translate customer emails, translate and update FAQs, live chat with people around the world, and build multilingual chatbots.
Gamalon’s AI is used by companies to build chatbots that read and understand your website, so they can respond more intelligently, increasing conversions. The company also offers AI that improve the performance of your email marketing. The company has $32.1 million in funding.
FullStory’s digital intelligence platform uses AI to analyze customer interaction data and reveal how customers experience friction on your website, allowing you to improve customer experience quickly. The company has $59.2 million in funding.
With more than $75 million in funding, BounceX offers a range of AI-powered products that identify consumers in real-time, send them highly effective abandonment emails, and personalize website pages to each visitor.
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The event targets manager-level and above marketers, and largely caters to non-technical audiences, meaning attendees do not need backgrounds in analytics, data science or programming to understand and apply what they learn.
This article first appeared in www.cnet.com
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