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List of RChilli Resume Parser Customers

Rchilli United States

2603 Camino Ramon, Suite 272,
San Ramon, 94583, CA,
United States

https://www.rchilli.com/

1 877-572-7737

Professional Services

120

$20M

Since 2010, our global team of researchers has been studying RChilli Resume Parser customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.

Each quarter our research team identifies companies that have purchased RChilli Resume Parser for Natural Language Processing from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.

Companies using RChilli Resume Parser for Natural Language Processing include: Phenom, a United States based Professional Services organisation with 1600 employees and revenues of $232.0 million, Peoplestrong India, a India based Professional Services organisation with 800 employees and revenues of $35.0 million, impress.ai, a Singapore based Professional Services organisation with 91 employees and revenues of $10.0 million and many others.

Contact us if you need a completed and verified list of companies using RChilli Resume Parser, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.

The RChilli Resume Parser customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!

Apply Filters For Customers

Filters

Logo	Customer	Industry	Empl.	Revenue	Country	Vendor	Application	Category	When	SI	Insight
	impress.ai	Professional Services	91	$10M	Singapore	RChilli	RChilli Resume Parser	Natural Language Processing	2021	n/a
	Peoplestrong India	Professional Services	800	$35M	India	RChilli	RChilli Resume Parser	Natural Language Processing	2023	n/a
	Phenom	Professional Services	1600	$232M	United States	RChilli	RChilli Resume Parser	Natural Language Processing	2022	n/a

Showing 1 to 3 of 3 entries

Buyer Intent: Companies Evaluating RChilli Resume Parser

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Logo	Company	Industry	Employees	Revenue	Country	Evaluated
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FAQ - APPS RUN THE WORLD RChilli Resume Parser Coverage

RChilli Resume Parser is a Natural Language Processing solution from RChilli.

Companies worldwide use RChilli Resume Parser, from small firms to large enterprises across 21+ industries.

Organizations such as Phenom, Peoplestrong India and impress.ai are recorded users of RChilli Resume Parser for Natural Language Processing.

Companies using RChilli Resume Parser are most concentrated in Professional Services, with adoption spanning over 21 industries.

Companies using RChilli Resume Parser are most concentrated in United States, India and Singapore, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of RChilli Resume Parser across Americas, EMEA, and APAC.

Companies using RChilli Resume Parser range from small businesses with 0-100 employees - 33.33%, to mid-sized firms with 101-1,000 employees - 33.33%, large organizations with 1,001-10,000 employees - 33.33%, and global enterprises with 10,000+ employees - 0%.

Customers of RChilli Resume Parser include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified RChilli Resume Parser customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Natural Language Processing.