Interpret, classify, and label talent profiles at scale

Deep learning decision support systems to manage the data teams rely on for hiring, sourcing, planning, training, and more.

Contact Sales

Profiles classified by Vettd

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2
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7
That's over a million people better aligned with the right opportunities. Learn more
  • Interpreter:
  • ParsingVersion:
  • FilterVersion:
  • Enterprise Sales
  • v2.3.1
  • v4.1.3
# The goal of this interpreter is to find relevant enterprise sales experience.
  • Name:
  • RoleSegments:
  • HighQuality:
  • // Sample:

  • NoiseIgnored:
  • // Sample:
  • Captain America
  • 59 total segments
  • 18 segments
  • "Attained 1,000% of Sales Quota, $1.6M in Q2 1942, through identifying new opportunities in target account list."
  • 41 segments
  • "Allied Forces believe that balanced attack plans and execution requires a multi-dimensional perspective."

Interpret

Leveraging unstructured natural language for talent decision making is one of the hardest business challenges to overcome. Inconsistency, biases, and time required limit the effectiveness of manual review. Vettd enables automatic interpretation of this valuable data.

Parsing
Segmenting
Filtering
Preparation
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Classify

Creating a taxonomy structure to help your organization understand and manage natural language data can be a daunting task. When done well, you’ll see improved profile discovery, agility, and decision making. With Vettd, we assist you in creating the proper taxonomy structures and processing workflows to ensure success and accuracy.

Deep Learning
Natural Language
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  • Classifier:
  • TaxonomyVersion:
  • Tiers:
  • Classes:
  • Enterprise Sales
  • v1.01
  • 3
  • 30
# The goal of this classifier is to objectively determine what type of relevant enterprise sales experience they have in context to business requirements.
  • Name:
  • RoleSegments:
  • RoleType:
  • / Tier 1:
  • // Tier 2:
  • /// Tier 3:
  • Captain America
  • 18 Segments
  • -
  • { Sales, .91 } { Customer Success, .73 } {  BDR, .45 }
  • { Business, .96 } { Consumer, .18} { Management, .06}
  • { Enterprise, .99 } { Mid-Market, .45 } { Small Business, .23 }
  • ProductionWorkflow:
  • Integration:
  • TaxonomyVersion:
  • ResumeVolume:
  • TotalClasses:
  • Performance:
  • Enterprise Sales
  • Workday
  • v1.01
  • ~1,500/week
  • 30
  • ~.04 seconds/profile
# The goal of this labeler is to update the metadata within the HR system of record and to capture event data for auditing, optimization and expansion.
  • Threshold:
  • RoleType:
  • ProductExperience:
  • ProcessExperience:
  • > .70
  • { add role, >.90 }
  • { add product, >.82 }
  • { add process, >.74 }

Label

Deep learning NLP models utilize a range in how confident they are when classifying talent profiles based on your defined taxonomy structure. At different tiers, you'll see different scores. To control, audit, and trust labels that are being assigned, Vettd provides a management layer customized to your specific workflows and integrations.

Workflow Automation
Management
Integration
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Calling all analysts & developers

Create and deploy intelligent services to improve the data that talent teams rely on for search, hiring, training, planning, and more

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In-house expertise not required

In using AI for talent profile analysis, Vettd sets you up for success. When we say "full stack", we mean all the technology, knowledge, and support services, to train, deploy, and optimize AI models for superior decision making and insights.

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Model Training

Access to state-of-the-art technology and a process you won't experience anywhere else.

Model Deployment

Integrate AI models into any number of applications and workflows.

Model Optimization

Use real-world data to ethically improve performance and expand capabilities.

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Talk to one of Vettd's experts

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Keep exploring

Haven't found what you're looking for? Here are some pages that will help you understand how Vettd can help you.

  • Solutions to see the benefits of adding Vettd to different types of businesses
  • Use Cases to see what Vettd is used for
  • Technology to get a look under the hood

Ready to make better talent decisions with AI?