Experience AI Matchmaking
Click on the image to try out our free tool
.png)
The Problems?
Volume of Applications
The influx of numerous resumes for each job vacancy often results in a glut of applications, many of which may not be relevant to the job at hand. This creates a time-consuming task for HR personnel to sift through and shortlist candidates, delaying the recruitment process significantly​
Manual Processing
Traditional recruitment often relies on manual processing of CVs, which is not only time-consuming but also prone to human error. This manual approach lacks the ability to perform nuanced analysis of CV data, thereby potentially overlooking suitable candidates or advancing less qualified individuals​
Keyword Dependency
The reliance on keyword matching is a significant bottleneck. It fails to capture the context and nuances within CVs, leading to a superficial matching process that may not reflect the true compatibility between job roles and candidates. The prevalent emphasis on CV keyword optimisation over actual achievements highlights a significant mismatch in candidate-job role alignment.
Bias and Subjectivity
The process can be tainted with unconscious biases which may result in unfair treatment or discrimination. Moreover, the subjective interpretation of CV data further compounds the inaccuracies inherent in manual recruitment processes.
Cost and Time Efficiency
Traditional recruitment processes are often lengthy and costly. The administrative burden and the extended time frames to fill vacancies adversely affect organizational productivity and resource allocation.
Services
At Incregen, we integrate AI matchmaking systems into recruitment.
Our technology, powered by Natural Language Processing (NLP), ensures a deeper understanding and compatibility between job roles and candidates.
Our unique Ranking System, Dynamic Data Optimisation, and Bias Reduction features streamline the recruitment process, keeping information updated and providing actionable insights.
With the aid of Advanced Language Model Learning (LLM), we enable nuanced job matching, taking recruitment to a new level of precision and relevance.
Features
Semantic Understanding
-
​Captures the nuances and context within CVs for a well-rounded job matching.
Ranking System
-
Provides a score out of 100 comparing job descriptions to CVs.
-
Fast-tracks decision-making on pursuing prospective job opportunities.
Data Optimisation
-
Regular database updates to keep CVs and job listings current.
Bias Reduction
-
Algorithms designed to reduce unconscious bias, emphasizing skills and qualifications over personal identifiers.
Advanced LLM
-
Moves beyond basic keyword matching of traditional parsing software.
Skill Gap Analysis
-
Identifies skills mismatches and suggests avenues for enhancing employability.
Where to Find Us
​Unit 13 Freeland Park Wareham Road Lytchett Matravers
Poole
BH16 6FA
Mon - Fri: 9am - 5pm
​​