Textkernel Among Cloud Top 500

Nieuwendammerkade 26a5

Amsterdam, x, 1022AB, Netherlands

31 20-494-2496

http://www.textkernel.com/

598

Textkernel Strengths, Domain Expertise, and Key Differentiators

Textkernel specializes in semantic recruitment technology delivering highly accurate multilingual CV parsing (resume parsing) and semantic search & match software. Each HR application of Textkernel accelerates and improves the process of matching demand and supply in the job market. The combination of all products, linked to your existing systems, will give you an unprecedented lead. This applies to all organizations engaged in filling vacancies or finding vacancies for others or for themselves.

Textkernel Recent Developments

In July 2018, Textkernel launched Jobfeed in Bullhorn, the cloud computing company that helps staffing and recruiting organizations transform their businesses. Textkernel’s Jobfeed, newly released in Bullhorn, gives recruiters unparalleled access to the entire online job market for lead generation, competitive insight, and labor market analytics. During 2018 Textkernel grow its team with 17 new talents and in January 2019 Textkernel welcomed 5 more colleagues. After more than a decade of R&D in the field of artificial intelligence (AI), machine learning and natural language processing, In February 2018, Textkernel reached a breakthrough inaccuracy with the successful application of Deep Learning to its CV parsing algorithm: Extract! 4.0. The Textkernel engineering team has powered many new languages for Extract.

Textkernel Customers in ARTW Customer Database

Leveraging a rigorous data-centric research methodology, APPS RUN THE WORLD asks the simple question: Who’s buying Textkernel applications and why? And we provide the answers – supported by decades of research – to our clients around the world. Our Customer database has over 100 data fields that detail company usage of Textkernel and other enterprise apps by function, customer size, industry, location, implementation status, partner involvement, Line of Business Key Stakeholders and IT decision makers contact details. List of Verified Textkernel for CV Parsing, customers.

Textkernel Key Enterprise and Cloud Applications

Textkernel for CV Parsing,

Textkernel Revenues, $M:

Type/Year20182019YoY Growth, %
Total Revenues, $M Subscribe Subscribe Subscribe
Enterprise Applications Revenues, $M Subscribe Subscribe Subscribe
Cloud Applications Revenues, $M Subscribe Subscribe Subscribe

* Enterprise Applications Revenues = License + Support & Maintenance + SaaS
** All revenue figures are estimates based on public records, Cloud and Non-Cloud business models in Apps Run The World's vendor database, and annual survey results including vendor feedback.

Textkernel Revenue Breakdown By Type, $M:

TypeLicenseServicesHardwareSupport & MaintenanceSaaS
% of Total Revenues Subscribe Subscribe Subscribe Subscribe Subscribe
Revenues, $M Subscribe Subscribe Subscribe Subscribe Subscribe

Textkernel Revenues By Region, $M

Region% of Total Revenues2019 Total Revenues, $M2019 Enterprise Applications Revenues, $M2019 Cloud Applications Revenues, $M
Americas Subscribe Subscribe Subscribe Subscribe
EMEA Subscribe Subscribe Subscribe Subscribe
APAC Subscribe Subscribe Subscribe Subscribe
Total Subscribe Subscribe Subscribe Subscribe

Textkernel Direct vs Indirect sales

RegionDirect SalesIndirect SalesTotal
Type % Subscribe Subscribe Subscribe
Revenues, $M Subscribe Subscribe Subscribe

Textkernel Customers - Breakdown by Geo, Size, Vertical and Product

List of Verified Textkernel Customers


No. of Textkernel Customers: 1000

No. of Textkernel Enterprise Applications Customers: 1000

No. of Textkernel Cloud Customers: x

No. of Textkernel Cloud Subscribers: x


With fully Deep Learning powered CV parsing solution (Extract! 4.0). Textkernel customers benefit by having even more accurate data in their systems and better search results due to the improved extraction. Over a thousand companies all over the world use Textkernel software. Some of them are Oliver James Associates, Rabobank, Hire Road, Randstad, Monster, Antal International and others.

Textkernel Market Opportunities, M&A and Geo Expansions

In addition, to resume parsing, Textkernel is also involved in projects that involve information extraction, web mining and semantic searching and matching.

Textkernel Risks and Challenges

March 2018, Textkerner has strengthened or weakened its senior management team, appointing Maciej Hoch and Guus Meijer as CTO and COO. Earlier in 2015, CareerBuilder acquired a majority stake in Textkernel. The move could lead to greater integration between Textkernel and CareerBuilder, perhaps at the expense of other job boards.

Textkernel Ecosystem, Partners, Resellers and SI

Textkernel partnered with Sense to streamline sourcing and maximize placements. The new integration enables staffing professionals to source and matches candidates and jobs more quickly and effectively, automating candidate outreach and engagement. The streamlined integration saves recruiters valuable time, increases placement activity, and ensures the most qualified candidates from Bullhorn are contacted with the right information.

Textkernel first started working with CareerBuilder as a market analysis partner for the United States, and their partnership continues to strengthen in the coming years.

Textkernel Cloud Infrastructure Insights

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Research Methodology

Data used in research reports are derived from publicly available documents, continuous surveys of applications vendors, customers, resellers, Independent Software Vendors, systems integrators and other verifiable sources.


Vendor shares and market forecast results are based on a combination of existing databases as well as demand side and supply side research conducted throughout the year with validation from vendors, customers, channel partners and documentations such as earnings releases and 10Q and 10K filings, vertical industry studies, regional and country-level statistics from public and private institutions(i.e. colleges, universities, government agencies and trade associations).


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