Custom platform that scores and ranks candidates based on technical skills and culture fit using custom LLMs.
A recruitment organization struggled with lengthy hiring cycles and growing candidate volumes. Aethenix developed an AI-powered recruitment platform capable of automating candidate screening, ranking applicants, and improving hiring efficiency.
Recruiters were overwhelmed with manual candidate reviews, causing extremely slow hiring times. The heavy workload limited candidate engagement, and manually matching diverse technical skill sets remained error-prone.
The platform analyzes candidate resumes, portfolios, job requirements, technical skills, and hiring history using custom LLMs to dynamically rank applicants and automate recruitment tasks.
Custom cloud-native and AI-orchestrated infrastructure engineered for robust operational scale.
Evaluates candidate skills and culture suitability.
Prioritizes high-potential applicants based on roles.
Provides centralized visibility into pipeline stages.
Automates screening notifications and meeting bookings.
Ensures secure, encrypted, and scalable operations.
"Deploying custom, fine-tuned LLMs allowed the system to understand deep context in resumes rather than simple keyword matching, leading to highly accurate rankings and reducing sourcing time by 70%."
Measurable growth, optimization, and ROI statistics driven by intelligent engineering.
65% reduction in overall hiring timelines.
Dramatically decreased manual administrative workload.
Higher quality matches based on technical requirements.
Allows handling 10x higher candidate volumes with ease
Allows handling 10x higher candidate volumes with ease.