Searchlight vs TalentSift Detailed comparison features, price

Searchlight

Searchlight revolutionizes talent acquisition through its comprehensive AI-powered platform, TRACY (Talent Recommendation Engine Customized to You). The platform combines organizational behavioral science and I/O psychology to deliver bias-free hiring recommendations and streamline the recruitment process.

The solution offers four core functionalities: applicant screening for efficient candidate filtering, AI-powered assessments to evaluate skills and cultural fit, automated reference checks for data-driven insights, and quality of hire measurements that create a continuous learning loop for improved hiring decisions. Organizations using Searchlight report 21 hours saved per search, 4× more accurate hiring decisions, and 40% faster time-to-fill rates.

TalentSift

TalentSift utilizes Artificial Intelligence to analyze hundreds of Curriculum Vitae (CVs) within minutes, significantly accelerating the initial screening phase of recruitment. By comparing uploaded CVs against a defined job description, the platform automatically ranks candidates based on their qualifications, skills, and overall relevance to the role. This automated process helps hiring teams quickly identify and prioritize the most suitable applicants.

The tool is designed not only to save time but also to promote fairer hiring practices. It employs AI to rank candidates based purely on objective qualifications, thereby minimizing unconscious bias during screening. TalentSift provides a shortlist of top candidates, complete with insights into their skills and experience, enabling recruiters and hiring managers to focus their efforts on the most promising individuals.

Pricing

Searchlight Pricing

Contact for Pricing

Searchlight offers Contact for Pricing pricing .

TalentSift Pricing

Other

TalentSift offers Other pricing .

Features

Searchlight

AI Screening: Stack-rank and filter top applicants automatically
Automated Reference Checks: One-click reference collection with AI-powered insights
Skills Assessment: 10-15 minute psychometric evaluations
Quality of Hire Metrics: Automated measurement and tracking of hiring success
Bias-Free Evaluation: Third-party validated unbiased hiring recommendations
ATS Integration: Seamless connection with existing recruitment systems

TalentSift

AI-Powered Filtering: Utilizes AI to scan CVs and job descriptions for optimal matches, reducing screening time by up to 75%.
Bias-Free Candidate Ranking: Ranks candidates based solely on qualifications using an AI system to ensure a fair selection process.
Diversity Insights: Provides insights into candidate diversity to aid in building more inclusive teams.
Time-Saving Automation: Automates the CV review process, allowing focus on top candidates more quickly.

Use Cases

Searchlight Use Cases

High-volume candidate screening
Skill-based candidate assessment
Automated reference checking
Quality of hire measurement
Recruitment process optimization
Bias-free hiring decisions

TalentSift Use Cases

Screening large volumes of job applications efficiently.
Prioritizing candidates based on qualifications and job fit.
Reducing unconscious bias in the initial recruitment screening stage.
Improving hiring efficiency and decreasing time-to-hire.
Supporting efforts to build more diverse and inclusive teams.

FAQs

Searchlight FAQs

How does pricing work?

Searchlight plans are annual and vary by company size and expected hiring volume. Products can be purchased à la carte and mixed-and-matched based on needs.
How does Searchlight work with ATS and HRIS?

Searchlight integrates with all major ATS and HRIS including Greenhouse, Lever, UKG, Ashby, and Workday. Custom integrations can be developed for additional fees.
Do I need to buy a license for every user who wants to look at Searchlight reports?

No, any plan comes with unlimited view-only access to maximize collaboration between talent teams and hiring managers.

TalentSift FAQs

How does the AI reduce bias?

The AI system is designed to rank candidates purely based on their qualifications as matched against the job description, helping to remove subjective bias from the initial screening process.