Products
The Sovren
Group, Inc. develops and markets a full suite of recruitment intelligence
products designed to provide more efficient and effective tools for managing
prospective talent information.
The
Sovren Resume/CV Parser receives plain text and extracts all of the applicant details,
allowing the fielded data to be instantly stored into candidate databases and
into search engines. The Sovren resume/CV Parser is the most
accurate, most scalable and most
comprehensive parser available.
The
Sovren Resume/CV
Converter
receives resumes and CVs in any native format
and converts them to plain text for use by the Sovren CV Parser, and optionally
for storage into a search engine, or database, or for easy display. ALL common
document formats (and about 50 obscure
ones) are supported, including the oldest and the newest (e.g.,
DOCX), and optional output of Word docs to formatted HTML is also provided.
The
Sovren
Pinpoint Search Engine provides extremely sophisticated query capabilities
which far exceed the capabilities of traditional full text search engines,
providing candidate profile searches in addition to traditional keyword
searches.
The
Sovren
Job Order Parser
extracts of the relevant data from a job order and builds a
job order profile for use by the Sovren Semantic Matching Engine. The job order
profile will contain information to describe job titles, required skills, optional
skills, years of experience desired, years of management experience desired, management
level, educational requirements, certifications, foreign languages, etc. The
precise specifications in the job order profile can now be used to find
candidates whose profiles match the job order profile.
The
Sovren Semantic Matching Engine is the world’s most sophisticated profile matching
engine, providing full 360° matching, including:
§
job orders to
candidates
§
candidates to
job orders
§
candidates to
candidates (using resumes/CVs of “ideal” candidates), also sometimes referred to as
resume cloning
§
job orders to
job orders
(where “job
order” can mean a job advert, job posting, job description, free text, or even
a full or partial resume or CV)
The Sovren Semantic Matching Engine can act as either a
§
filter, in
which 90-99% of all “noise matches” can be automatically eliminated, or as an
§
amplifier
(i.e., conceptual search), in which a search can be automatically progressively
broadened up to three conceptual levels of abstraction so as to find concepts
such as “people who have Java related skills and who have at least 5 years of
experience in enterprise applications”.
The
Sovren Resume/CV Transformer automatically creates “ready-to-submit” dubs with one click,
ensuring that all candidates are presented in a standard presentation format,
with company and recruiter specific data included – without a recruiter having
to do any work at all.
The Sovren
Automatic Emailed Resume/CV Processor application provides completely automated
hands-off ZERO-CLICK processing of emailed resumes and CVs, including downloading of the
email, locating the resume or CV, the cover letter, and any reference letters within the email,
saving and converting the data, parsing the resume/CV, and optionally storing the data
using customer-defined business rules.
More information on the Sovren Resume/CV Parser
Our flagship product is the Sovren Resume Parser, the world's most sophisticated resume/CV parser. Our Sovren Resume/CV Parser was the first product to be certified as compliant with the most advanced standard: HR-XML.org's Resume schema (and we are
currently certified on version 2_4). The Sovren Resume/CV Parser is the ONLY resume parser that supports ALL of the main sections of the schema, including:
- Contact Info (first name, last name, middle initial; affixes and affix types; street address; city; state; postal code; email address; unlimited phone numbers with type, when available, and usage; personal URL)
- Job Objective
- Executive Summary
- Employment History (start and end dates; employer; position held; employer location; employer sub-company; position type; description; current job flag; and more...)
- Education History (school name; school location; degree type; degree name; gradepoint average and scale; graduated flag; description; and more....)
- References, with contact info
- Skills (including Industry, Category, Skill Name, actual phrase found, date of last use, total months of experience by Skill, by Skill Category, and by Industry; resume section type where found)
- Military History (date ranges; unit name; division; grade; duties; description; honorable discharge flag)
- Languages, including fluency (read, write, speak).
- Security Clearances
- Achievements
- Affiliations (organization name; role)
- Patents (authors; patent name; patent status; patent date)
- Publication History (co-authors; title; date published; publisher name; ISBN; content type)
- Speaking Events History (date; title; role; type)
- Licenses and Certifications
In addition to supporting the HR-XML standard, we extend the standard (using HR-XML-approved-and-compliant methods), to also calculate the following Sovren-only items:
Years of experience by Industry, Category and Skill
Best Fit Industry and Best Fit Category
Total years of management experience; management experience by management level; management summary by position, level, and date.
We answer the question "Is this an entry-level candidate?"
We answer the question "Is the candidate's stated job objective consistent with the candidate's experience and qualifications?
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Did you know?
Besides offering multiple zero-code integration / deployment options, it takes less than 10 lines of code to convert and parse a resume with the Sovren Resume Parser.
Did you know?
We also supply the full SQL Server database code (or, sample database) to load and store the HR-XML output from the Sovren Resume Parser. And, we supply components that allow you to load and store resumes from the parser with just a couple of lines of code.
Did you know?
The Sovren Resume Converter is supplied with the Sovren Resume Parser. The
Sovren Resume Converter converts all needed formats (over 60), including MS Word (all flavors), HTML, PDF, RTF, and TXT formats to Resume Parser-ready ASCII text, without requiring any of the original authoring software, and without using COM automation. And it's lightning fast, too, typically processing over 100 resumes per second.
Did you know?
We sell components and Web Services for implementing over 50 of the HR-XML.org's latest schemas, covering virtually every aspect of HR.
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