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Lightscreen AI - voice agent for uncheatable tech screens

We help fast-growing startups identify genuinely skilled candidates.

TL;DR

We’re building uncheatable tech screens with an AI voice agent. Engineering teams use Lightscreen to identify genuinely skilled candidates -- a different approach than other screening tools that unlocks greater insight into a candidate's engineering fundamentals and critical thinking skills.

The Problem

  • Engineering managers spend about 40% of their time on hiring, and engineers spend about 10% of their time interviewing candidates
  • Up to 30% of candidates cheat on coding tests. With the increased prevalence of AI tools and remote interviewing, cheating is only becoming more common.
  • New AI technologies have made it easier for candidates to apply to hundreds of jobs, so volume of applications has drastically increased
    • This volume is going to keep growing, increasing the burden on managers and engineers

Our Solution

Lightscreen’s AI interviewer assesses candidates’ skills by working through coding problems with them collaboratively. This unlocks deeper insight into a candidate's engineering fundamentals and critical thinking skills, unlike other screening tools that simply evaluate code.

Strong candidate evaluation:

Flagged candidate evaluation:

Our AI can interview on any technical subject. It avoids hallucinations and eliminates bias by justifying feedback with specific examples, and can scale to any volume of candidates. It identifies cheating by monitoring the full feed of keystrokes, video, and audio from the candidate.

Allow your engineers to focus on building products instead of screening candidates by trying Lightscreen today!

Watch our short demo video:

The Founders

Prachie Banthia previously was VP Product at a Series C speech model company called AssemblyAI that has built the current SOTA speech transcription models. Before that she was at RideOS which she helped sell to GoPuff for $115M, and prior to that worked at Google.

Gavin Saldanha is a veteran ML engineer who has led engineering teams at Cauzal AI and Stacked. Prior to that he also worked at Google - which is where he first met Prachie! He brings extensive experience in scaling and productionizing ML and NLP systems.

Our Ask