Lamarr is a cutting-edge AI-powered tech recruitment solution that reforms your hiring process.

End-to-End

Lamarr leverages a unique combination of machine learning algorithms and expert evaluation to accurately assess candidate suitability for each job posting. Our shortlisting algorithm is trained on a vast dataset of cherry-picked resumes, ensuring that each candidate is evaluated against the most relevant criteria.
Once the candidate takes our 90 min assessment we use AI to grade the assessment in real-time , saving time and resources while eliminating any potential bias.

Ever Improving

Assessing candidates is a serious matter to us, and that's why we rely on experienced engineers to design assessments with rigorous feedback loops. Our aim is to make the assessments candidate-friendly while providing you with more meaningful insights. With the addition of reinforcement learning and human feedback, our AI model becomes increasingly accurate over time, providing companies with the assurance of hiring the best talent available.

Let's look at the difference

Current Workflow

Time spent: ~ 70h

Candidate’s Fundamentals: Good

Candidate’s Job Skills: ?

Resume Screening ~ 23h

HR Interview ~ 15h

Live Interview ~ 30h

Finalizing ~ 5h

Lamarr Workflow

Time spent: ~ 30min

Candidate’s Fundamentals: Excellent

Candidate’s Job Skills: Excellent

AI Resume Shortlisting ~ 5m

Finalizing with Lamarr Report ~ 20m

What's the process like?

For you: Connect your ATS -> Run AI shortlisting ->Send interview to selected candidates ->View detailed candidate report -> Send an offer!

For the candidate: Login with the interview link received on the email -> Complete the 90 min interview ->Wait for the your's response.

What's the onboarding process?

Our onboarding process is extremely simple. Once you request a demo, someone from our team will reach out to you within 24h. Once you're onboard you can connect to your ATS and hire candidates with ease.

What sets you apart from the competition?

We've developed cutting edge AI model starts with narrowing down hundreds of candidates to fewer number of potential matches by taking in several important factors(Unlike Traditional ATS) while also improving with time. The shortlisted candidates are sent a Lamarr interview which is built to assess skills required on-the-job so the candidates don't have to put extra time into preparation. Once the interview is completed our AI Grader grades it in real-time providing you a detailed report on the candidate which can help finalize on a candidate within 20 min. While being familiar and better for the candidate we are also focused on the vetting them thoroughly so you don't have to worry if they're a perfect match for you.

What assessments languages are offered?

Java
Python
JavaScript / Typescript (Node/Deno)
Go

HTML
CSS
Javascript / Typescript

Swift (iOS)
Kotlin (Android)
Flutter (Cross-platform)

Python
Java

What level of engineers do you assess?

The interview assesses interns through senior engineers for general computer science competencies and domain-specific knowledge