Powered for the future: Using AI driven features for a smoother hiring process

TalentNet’s platform isn’t just intuitive, it’s future-proof. 

As the originators of Direct Sourcing, we’re always evolving our solution using industry-leading technology. 

Our proprietary AI integrations allow Curators to write better job descriptions, effortlessly build shortlists based on candidate profile data, and create positive candidate experiences with ease. 

Seamless and efficient: AI driven features that make a difference

TalentNet uses the latest AI technology to build features that support Curators, allowing your hiring team to focus on high-value work while finding qualified candidates faster. 

Our features are safe and efficient, ensuring that any private data is protected at all times.

They include:

Job Matching 

When an applicant registers for a talent community, our AI-powered solution quickly searches through their profile and matches them to open positions based on their skill sets, experience, and qualifications. This happens using Natural Language Processing and Bidirectional Encoder Representations from Transformers (BERT).

Both Curators and candidates will be able to see a job match percentage telling them which jobs are the best fit. This creates a 60-second application process while letting hiring professionals know which applications are the best fit for each position. 


Our innovative platform uses conversational AI to help Curators fill positions faster without having to sift through hundreds of candidate profiles. TalentNavigator acts as a virtual assistant that quickly searches through candidate data in minutes, allowing Curators to quickly create shortlists. 

A user can ask anything from, “Who are the best three candidates for the Engineering position,” 

to “Which marketing candidates are willing to work in the office?”

Job Description Optimization

Our Job Description Optimization feature allows Curators to effortlessly create well-written, engaging job descriptions that are SEO-optimized for search engines. 

Using generative AI, this tool processes a user’s input and writes job descriptions that are more likely to attract top talent and reach a larger audience. Curators can input certain specifications or a fully written description to be edited.  

AI Explained – Understanding our tech

Our features are powered by the latest AI technology, allowing our tools to process inputs, understand information, and search through candidate databases. 

Here’s how they work:

NLP – Natural Language Processing

NLP is a branch of AI that allows programs to process, understand and generate human language. It works by:

  • Analyzing and breaking down sentences (called parsing), to identify language structure, recognize names, and understand the meaning behind each word. 
  • Processing language by condensing large text and extracting key information. 
  • Generating text. This includes creating sentences and paragraphs based on your input. 

TalentNet uses NLP capabilities for job matching, job description creation and conversational platforms like TalentNavigator.

Vector Search

TalentNet uses a type of natural language technology called Vector Search to power our search capabilities. This tech changes data into a list of numbers (called vectors) that are put into a database. Once a user enters a phrase, it’s turned into vectors. Our Database Engine then finds the closest number to your question, allowing us to provide accurate results. 

BERT – Bidirectional Encoder Representations from Transformers 

TalentNet leverages NLP through BERT, a machine learning framework that analyzes words using a deep neural network. This enhances our platform’s job matching feature by allowing our tool to quickly sort and match applicants to open positions based on their qualifications. 

BERT is trained using a large amount of text and excels at understanding the context of words and phrases in sentences, ensuring each result is accurate and helpful. 

To learn more about our platform, request a demo here.

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