List of RChilli Resume Parser Customers
San Ramon, 94583, CA,
United States
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
| 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 |
In 2021, impress.ai implemented RChilli Resume Parser to extract structured resume fields for its chatbot driven recruitment workflows. The RChilli Resume Parser, classified as Natural Language Processing, was applied to improve candidate engagement in high volume hiring within its HR and recruitment functions.
Implementation emphasized automated entity extraction and structured field normalization, converting unstructured CV text into discrete fields such as contact information, education, employment history and skills. Processed resume data was formatted for consumption by downstream services as structured outputs to support decision logic and conversational prompts.
The parser was integrated into impress.ai's chatbot driven screening flows so parsed resume fields could trigger relevant follow up questions and guide conversational screening. Operational coverage focused on high volume hiring workflows, enabling the recruitment team to route candidates through automated screening sequences based on parsed attributes.
Governance changes included updating screening workflows to consume parsed fields and instrumenting conversational logic to reference normalized attributes during candidate interactions. The case study reports an explicit outcome, an 80% interview completion rate overnight after integrating RChilli, demonstrating immediate lift in conversational screening completion using parsed resume data.
|
 |
Peoplestrong India | Professional Services | 800 | $35M | India | RChilli | RChilli Resume Parser | Natural Language Processing | 2023 | n/a |
In 2023 PeopleStrong India implemented RChilli Resume Parser, classified in the Natural Language Processing category, to automate resume-to-profile conversion and deliver structured candidate data into Talent Acquisition workflows. The implementation targeted PeopleStrong's recruiting function across its India platform, with the RChilli Resume Parser providing real-time parsing to enhance the recruiter experience and improve recruiter efficiency.
The deployment emphasized automated extraction and normalization of candidate attributes, using resume-to-profile mapping to populate PeopleStrong candidate records. RChilli Resume Parser was configured to produce structured fields for contact information, work history segmentation, education, skills and certifications, and role titles, enabling standardized candidate profiles and supporting downstream talent matching and shortlisting workflows typical of Natural Language Processing solutions.
Integration work focused on embedding the RChilli Resume Parser into PeopleStrong Recruit or Talent Acquisition flows, inferred from case study descriptions of real-time parsing. The integration model used API-driven real-time parsing triggers at resume upload or candidate sourcing events, returning parsed JSON records to PeopleStrong's candidate profile endpoints, allowing immediate population of fields within the recruiting UI and data store.
Governance changes centered on enforcing a consistent candidate data schema, adding validation and audit trails for parsed records, and adjusting recruiter workflows to rely on automated profile population rather than manual entry. The implementation delivered structured candidate data in real time and explicitly improved recruiter efficiency within PeopleStrong's Talent Acquisition operations in India.
|
 |
Phenom | Professional Services | 1600 | $232M | United States | RChilli | RChilli Resume Parser | Natural Language Processing | 2022 | n/a |
In 2022, Phenom integrated RChilli Resume Parser into its talent platform. The RChilli Resume Parser, categorized as Natural Language Processing, supplies structured resume and profile data to Phenom's TXM platform to support candidate-profile features and HR recruiting workflows.
The implementation centers on resume and profile parsing capabilities, where the RChilli Resume Parser extracts canonical candidate attributes such as contact information, work history, education, skills, and role titles and delivers normalized, structured records. Configuration focused on mapping parsed fields into Phenom's candidate-profile schema and enabling downstream profile enrichment and searchability within the talent experience management workflow.
Integration was executed as a data feed into Phenom TXM, with parsed outputs consumed by candidate-profile features used by recruiters and hiring teams in talent acquisition and HR operations. Operational coverage targeted Phenom's recruiting and hiring functions, embedding parsed resume data into profile creation and screening processes to reduce manual profile entry and improve data consistency.
Governance emphasized profile data standardization and workflow alignment between sourcing and hiring teams, with parsed resume outputs used as the authoritative source for candidate attributes in profile-driven recruiting activities. The integration delivered higher-quality structured resume data and improved the candidate experience for recruiters and hiring teams as part of Phenom's HR and recruiting processes.
|
Buyer Intent: Companies Evaluating RChilli Resume Parser
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||