Elastyc Logo

Elastyc

Hire Smarter, Faster, and Easier with AI Recruiting

Usage Based
Screenshot of Elastyc

Description

Elastyc provides an AI-driven, self-serve recruiting platform designed to help businesses find and hire top talent efficiently and cost-effectively. It aims to simplify the hiring process by putting enterprise-grade recruiting technology within reach of small businesses, talent teams, and staffing agencies. The platform focuses on speed and precision, enabling users to identify suitable candidates quickly.

Leveraging AI, Elastyc offers features like automated applicant grading based on job criteria and sourcing prospects from its extensive database. It integrates seamlessly with existing workflows through ATS and Slack connections, and includes tools like a LinkedIn extension and effortless job board posting. The pay-as-you-go pricing model ensures users only pay for active hiring needs, offering scalability and affordability without long-term commitments.

Key Features

  • Applicant Grading: Grades every incoming applicant with efficient and customized job-seeker matching.
  • Outsource Prospects: Proprietary AI finds and grades outsourced prospects based on job criteria.
  • ATS Integration: Seamlessly connects with existing workflow via top ATS platforms.
  • Daily Reports: Sends comprehensive daily reports detailing open position status and highlighting top candidates.
  • Effortless Job Board Posting: Post jobs to top job boards and view applicants directly in the dashboard.
  • Linkedin Extension: Seamlessly integrate with LinkedIn to add candidates to the pipeline directly from profiles.
  • Pay-As-You-Go Pricing: Flexible credit-based pricing with no subscriptions or commitments.

Use Cases

  • Streamlining recruitment for small businesses.
  • Enhancing talent acquisition processes for internal teams.
  • Accelerating candidate sourcing for staffing agencies.
  • Automating candidate screening and grading.
  • Integrating recruitment data with existing ATS workflows.

You Might Also Like