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List of Textkernel AI Recruitment Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Kelly Services Professional Services 7500 $5.0B United States Bullhorn Textkernel AI Recruitment Recruiting 2022 n/a
In 2022, Kelly Services implemented Textkernel AI Recruitment as a strategic addition to its Recruiting technology stack. The deployment focused on introducing AI-driven candidate parsing and semantic matching capabilities to support staffing and recruitment teams across Kelly Services in the United States. The Textkernel AI Recruitment implementation centered on core Recruiting capabilities, including automated CV and vacancy parsing, skills and experience extraction, semantic search and candidate-job matching, and normalized candidate profiling for index and retrieval. Configuration work emphasized parsing rules, taxonomy alignment for skills and job titles, and tuning of matching thresholds to reflect staffing workflows. Integration work connected Textkernel AI Recruitment with Kelly Services' Bullhorn ATS to enrich existing candidate records, populate structured profile fields, and surface ranked candidate shortlists directly into recruiter workflows. The architecture used the Textkernel indexing and matching layer to augment Bullhorn search and candidate data, enabling recruiters to query unified candidate profiles and receive AI-ranked results. Governance and rollout included configuration governance for parsing and taxonomy, recruiter training on semantic search and matching results, and staged operational adoption by staffing groups to align sourcing and placement processes. Implementation documentation and configuration controls were established to manage ongoing tuning of extraction rules and matching parameters within the Recruiting environment.
Manpower Professional Services 27900 $18.9B United States Bullhorn Textkernel AI Recruitment Recruiting 2022 n/a
In 2022 Manpower implemented Textkernel AI Recruitment within its Recruiting technology stack to augment core placement operations. The deployment targeted Manpower's network of 60 branch offices, 400 in-house recruiters, and a candidate pool of approximately 200,000 active records, aligning the application with the company objective to match candidate and employer profiles more effectively. Textkernel AI Recruitment was configured to provide semantic candidate matching, resume parsing, candidate profiling, and transparent match scoring to support recruiter decision making. Functional emphasis was on semantic search and automated match ranking to surface relevant candidates and provide explainable match rationales for screening and shortlisting workflows. The implementation integrated Textkernel AI Recruitment with Manpower's Bullhorn ATS to embed match results into existing sourcing and placement workflows, enabling inline recommendations inside recruiter interfaces. Integration work covered candidate ingestion from the central database, ongoing parsing of incoming resumes, and delivery of match outcomes to recruiting workflows across branches. Governance followed a supplier selection process and a phased rollout to in-house recruiting teams, with workflow updates to incorporate match transparency into screening and shortlisting procedures. The stated objectives for the Textkernel AI Recruitment implementation were to increase quality of service by optimizing processes and to accelerate placements.
Manpower Switzerland Professional Services 300 $500M Switzerland Bullhorn Textkernel AI Recruitment Recruiting 2023 n/a
In 2023 Manpower Switzerland implemented Textkernel AI Recruitment in the Recruiting category to accelerate recruiter matching and placement workflows across its network of 60 branch offices, approximately 400 internal employees and a candidate pool of about 200,000 active profiles. The deployment responded to volumes of roughly 4,000 applications per week and addressed the need to support internal recruiters with intelligent parsing, sourcing and matching capability. Manpower deployed Textkernel AI Recruitment modules Extract!, Search!, Match! and the Sourcebox workflow application to operationalize CV parsing, semantic search and sourcing, and semantic matching across candidate and vacancy records. Extract! is used for structured CV parsing, Search! provides multilingual semantic search and sourcing, and Match! executes bidirectional semantic matching between candidate profiles and job records, enabling automated candidate to job and job to candidate matches. Sourcebox is integrated with Manpower Switzerland’s existing system to route incoming applications into the Textkernel processing pipeline, where profiles are parsed and then matched to all available Manpower vacancies and direct employer jobs in the Swiss market. Semantic processing was emphasized because Switzerland uses three national languages, so synonym and translation awareness is embedded in Search! and Match! to improve relevancy compared with plain full text search. Governance and process changes focused on workflow automation and recruiter augmentation, with incoming applications routed automatically and matched at scale to reduce manual screening effort and accelerate placement cycles. Manpower’s vendor selection was influenced by Textkernel personnel, user interface, market position and project proposal, and the implementation is positioned to support recruiters in faster matching and improved placement capability without altering named prior system references.
Randstad Professional Services 40000 $28.0B Netherlands Bullhorn Textkernel AI Recruitment Recruiting 2022 n/a
In 2022, Randstad implemented Textkernel AI Recruitment for Recruiting. Randstad, a Netherlands-based professional services staffing firm, positioned the Textkernel AI Recruitment application to support its talent acquisition and staffing functions within recruiting operations. The Textkernel AI Recruitment deployment focused on Recruiting capabilities common to AI staffing solutions, including resume parsing and structured data extraction, semantic search and candidate matching, and AI-assisted shortlisting and profiling to accelerate sourcing and qualification workflows. Textkernel AI Recruitment was configured to normalize unstructured candidate records and provide searchable candidate profiles for recruiter workflows. Operational coverage concentrated on talent acquisition and staffing workflows across Randstad's recruiting teams, with configuration aligned to pipeline orchestration and sourcing use-cases. Governance emphasized centralized taxonomy and model configuration to maintain consistent parsing rules and search relevance across recruiting teams. The implementation positions Textkernel AI Recruitment as a system supporting sourcing, screening, and candidate data normalization within Randstad Recruiting business functions, enabling standardized candidate information and AI-enhanced matching for recruiter-driven hiring processes.
RGF Staffing Professional Services 17000 $11.3B Netherlands Bullhorn Textkernel AI Recruitment Recruiting 2022 n/a
In 2022, RGF Staffing implemented Textkernel AI Recruitment in the Recruiting category to unify candidate data across its operating companies. The initiative addressed a volume challenge of up to 50,000 incoming applications per month and widespread data fragmentation that prevented consultants from leveraging internal talent pools across brands. RGF Staffing deployed Textkernel AI Recruitment with two explicit modules, Extract! for automated CV parsing to remove manual data entry and preserve data accuracy, and Search! for semantic candidate retrieval. The project began with user workshops targeting heavy LinkedIn and CV database users to define search and matching requirements, and selection of Textkernel’s Search! followed a three provider evaluation based on those user-driven specifications. The technical approach centralized disparate applicant stores into a single CV database platform that is semantically searchable via Textkernel Search!. Operational coverage included thousands of users executing tens of thousands of searches per week and a continuous inflow of new CVs, positioning Textkernel AI Recruitment as the primary Recruiting retrieval layer for consultants and staffing operations, sourcing candidates from internal and external data pools. Governance and rollout followed formal board approval after concerns around cross-brand candidate exclusivity were addressed, and the implementation emphasized minimal end user training due to a highly rated interface, with 75 percent of consultants describing it as very user-friendly. The project outcome reported one unified database, accelerated candidate sharing, faster placements with several candidates already placed, and an increase in revenue attributed to the improved Recruiting capabilities of Textkernel AI Recruitment.
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FAQ - APPS RUN THE WORLD Textkernel AI Recruitment Coverage

Textkernel AI Recruitment is a Recruiting solution from Bullhorn.

Companies worldwide use Textkernel AI Recruitment, from small firms to large enterprises across 21+ industries.

Organizations such as Randstad, Manpower, RGF Staffing, Kelly Services and Manpower Switzerland are recorded users of Textkernel AI Recruitment for Recruiting.

Companies using Textkernel AI Recruitment are most concentrated in Professional Services, with adoption spanning over 21 industries.

Companies using Textkernel AI Recruitment are most concentrated in Netherlands, United States and Switzerland, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Textkernel AI Recruitment across Americas, EMEA, and APAC.

Companies using Textkernel AI Recruitment range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 20%, large organizations with 1,001-10,000 employees - 20%, and global enterprises with 10,000+ employees - 60%.

Customers of Textkernel AI Recruitment 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 Textkernel AI Recruitment customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Recruiting.