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Summary

This tool has solely been researched by the WilsonHCG Innovation team.

WHY RCHILLI?

• Enhance your Recruiting systems with Rchilli’s CV automation Tools.
• Parse, Connect, Match & Update resume with just One Click.
• We Analyze not just Parse still stands today.
• Experience the next level of Resume Parsing.
• Plus on-demand Analytics that gives CV insights.

Let’s Simplify Resume/CV Automation

PARSE

The HR XML certified Resume Parser has exclusive capabilities to extract 100+ fields from resumes, auto-populate them into specified forms, and send direct output to your database. Multilingual, high performance Resume Parser API.

CONNECT

While parsing candidate’s resume, we can source available Social Media profiles of candidate even when not mentioned in Resume/CV. The social media information is displayed distinctly under the Social Tab so you can efficiently gain a clear picture of the candidate as a whole.

SEARCH-MATCH

Semantic Search floats the closest resume, profiles matching your set criteria. Semantic Matching Technology enables you to offer competent technology already offered by Dice, Monster or any other ATS or Job Board

UPDATE

Having a huge stack of old resumes but of no use or value, then considering us can add new value to your business. We update your passive resumes by mustering most current information about them, with latest information

ATS/CRM/ERP PRODUCT COMPANIES

• Automate Resume Insertion via email / candidate apply page using RChilli Resume Parser
• Provide Social fields into your Application, along with other resume fields. Give a social touch
• Completely white label the solution.
• Integrate with your web or desktop solutions.
• Easy integration and faster responses.
• Free technical support and easy upgrades.
• Compatible with C# .net (for desktop applications).
• Integrate any programming language viz. Java, cold Fusion, ASP.net, php, Python, Ruby on Rails, ASP, .Net etc. using SOAP/HTTP Get.
• Flexible payment plan for win-win situation.

JOB SITES/ JOB BOARDS/ CAREER PORTALS

We help Job sites / Job Boards/ Career portals to add cv/resume parsing / analysis functionality to increase the input of resumes and better customer satisfaction at employer level.

• Reduce resume submission process to 10 seconds from 15 mins.
• Add a new feature of automated CV insertion into job portal / Job Board.
• Completely white label the solution.
• Integrate in less than 30 mins.
• Free technical support and regular upgrades.
• Integrate any web based scripting language viz. Java, Python, JavaScript, cold Fusion, ASP.net, php etc. using SOAP or HTTP Get
• Complete flexible payment plan for win-win situation.
• 72+ parsed fields and 4+ analysis fields, 6+ Social Recruit Fields, ready for use by Job Board.

STAFFING FIRMS

We help Staffing Companies to automate the Resume reading and storing process using Resume Parser.

• Saves hurdle of Resume Data Entry.
• Process 15000+ resumes in one hour.
• Extract Resume information and and make Boolean search more efficient.
• Reduce Resume screening process by 80%.
• Touch base with even last candidate in resume list and get best talent.
• Pay as per your requirements.
• Picks resumes from Email, Desktop, or Web folder.
• Save directly into your database, ERP, ATS, SugarCRM, Salesforce or Desktop or any sort of application.
• Option to save resumes as per location or category.

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Summary

RChilli is an AI parsing & matching engine that integrates with any data source, processing candidate data via cloud services (thereby not storing data), and profiling candidates for advanced matching to role requirements. Also developing data enrichment methodologies (enhancing analysis of the “context” of data to extrapolate further circumstantial information).

Product Highlights:

• Global services, offering a few focuses:

  • Parsing

    • Advanced parsing based on research and complex data identification & categorization methods

  • Matching engines

  • Enrichment Marketplace (not for government applications)

    • Data analytics

• Resume Parser

  • Extract contact details, education, experience, skills, social details (if available in resume)

  • Enrichment taxonomies (focused on competencies, skills, related skills, etc.)

  • Then moves to matching engine from there

  • In parsing, it identifies key information and produces tags for information like location, languages, skills, education, etc.

    • Can group into skills types too (technical, behavioural, soft, etc.)

    • Looking at behavioural assessments as an upcoming data point

      • Still working on this offering and developing it, assessing from language used, etc.

        • Behaviour matching is a growing theme of discussion in the HR field

    • Identifies and groups skills by proficiency levels assessed through the experience listed (job titles won’t identify proficiency, so this assesses content)

    • Can identify things like employment gaps (length of time, etc.)

    • Can also identify number of years of experience with certain skills (like management, for example)

  • Extremely detailed parsing and profile-building

• Matching Engine

  • Can search for what you need, such as industry, location, years of experience, or even paste a complete JD to see who best matches that JD

    • This is done by setting up an index for the JD, rather than a simple search, but then stays as a template for future use after that

  • Each candidate matched provides a detailed score breakdown for where they do/don’t fit the desire profile

  • Uses enriched data (ex. Can determine what “GTA” really means (what is or isn’t technically part of the GTA)

  • Taxonomy 3.0 Beta

    • Allows you to define each skill you’re analyzing for

    • Can be broader skills or more specific ones

      • Can also be tools they need to be familiar with

    • Set up related job titles

• Email Integration

  • Resumes can be submitted to an email that feeds them into the system

Technical Requirements:

• Typically ATS integrated (not mandatory)

• Can install into any data source we need (TN/TC/ATS, etc.) or be accessed via upload portal

Customization Options:

• Able to customize the profile information you’re looking for the parser to gather (what skills to identify, preferred versus mandatory)

• Customization of the platform’s features is also supported by a technical team for complicated requests (but basics can be done on our end perhaps)

  • Definitely not “foolproof” in a user-friendly context (intermediate software skills required)

Approach to Using with Multiple Clients:

• Sits on the primary ATS, but can be designed to function only with specific clients (functions with client ID)

• How data segregation between clients on one CRM/ATS could work

  • User keys

    • Each key creates a new access set up (each RC can have their own)

  • Small staffing companies use this to avoid RCs poaching other RCs candidates

GDPR/CCPA/Privacy Compliance:

• Does not store any data, it just sits over the system your data is located on

• As long as your data location is compliant, this system is compliant

• If it’s government, RChilli can facilitate arranging government data storage locations, and bills directly to you (decreases your business insurance)

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