Lamarr provides standardized technical assessment tools to address inconsistencies in traditional technical interviews. The platform ensures objective evaluation by offering consistent criteria across all candidate screenings. This results in more reliable and data-driven technical hiring decisions for organizations.
Funding
$6K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional hiring processes are inefficient, leading to extended time-to-hire, high costs, and frequent bad hires due to the difficulty in accurately assessing a candidate's skills and job fit. Traditional methods often fail to provide a realistic preview of a candidate's on-the-job performance.
Solution
Lamarr offers an AI-powered recruitment platform that automates candidate evaluation through real-world task simulations and real-time AI grading. The platform allows candidates to complete interviews at their convenience, eliminating scheduling bottlenecks. By assessing candidates on practical, job-related tasks, Lamarr provides a comprehensive performance report, enabling companies to make informed hiring decisions. The system evaluates over 20 on-the-job skills and provides detailed performance reports, empowering companies to make confident hiring decisions.
Target Audience
Lamarr primarily targets recruiters and HR departments, particularly within tech companies, seeking to streamline their hiring process, reduce costs, and improve the quality of hires.
Features
- AI-driven resume shortlisting to identify qualified candidates rapidly.
- Real-time AI grading of candidate performance during simulated tasks.
- Expert evaluation provides additional feedback on candidate performance.
- Assessments based on real-life job tasks to evaluate practical skills.
- Comprehensive performance reports covering 20+ on-the-job skills.
- Candidate-friendly interview experience.
- Bias-free hiring process.