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Top Kognita Alternatives, Competitors & Similar Software

Founded 2017

Find 3 competitors in the Data Science and Machine Learning Platforms. Compare other SaaS such as Gong, Clari and People.ai. These Kognita competitors have raised $1.3B and together serve more than 6K customers and employ over 3.3K team members.

Compare Kognita with Gong
1
Gong

Data Science and Machine Learning Platforms

Gong.io is a privately-held technology company based in California, that provides a revenue intelligence platform for sales teams. The platform uses artificial intelligence and machine learning algorithms to analyze sales calls and meetings, providing insights and recommendations to help sales teams improve their performance and close more deals. The company was founded in 2015 by Amit Bendov and Eilon Reshef and has since grown to serve over 1,500 customers worldwide, including LinkedIn, HubSpot, and LinkedIn. Gong.io has raised over $584 million in funding from investors including Coatue Management, Battery Ventures, and Thrive Capital. The platform is used by sales teams and managers to gain visibility into their sales activities, optimize their sales processes, and drive revenue growth.

Revenue
$332.3M
Customers
4K
Year founded
2015
Funding
$583M
Team size
2.2K
Location
United States
Compare Kognita with Clari
2
Clari

Data Science and Machine Learning Platforms

Clari is a revenue operations platform that helps B2B organizations increase win rates, shorten sales cycles, and improve forecast accuracy.

Revenue
$158.5M
Customers
1.5K
Year founded
2012
Funding
$496M
Team size
800
Location
United States
Compare Kognita with People.ai
3
People.ai

Data Science and Machine Learning Platforms

People.ai is a software company that provides an AI-powered platform to help sales and marketing teams improve their performance. Their platform automates the capture of sales activity data, providing insights and analytics to help teams optimize their sales process, identify potential opportunities, and close more deals. People.ai's technology uses machine learning and natural language processing to analyze and understand data from various sources, including emails, calendars, and CRM systems. The company's customers include large enterprises across multiple industries, including technology, healthcare, and financial services.

Revenue
$62.8M
Customers
500
Year founded
2016
Funding
$200M
Team size
215
Location
United States
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