Screen engineers, developers, and product managers at scale. AI handles first-round technical screens so your team focuses on top candidates. Async video, system design questions, skills-based scoring.
Less Eng Time
On interviews
More Candidates
Screened weekly
Faster Hiring
Average reduction
Tech Questions
In our library
Everything you need to hire technical talent
500+ questions covering algorithms, system design, web, mobile, DevOps, and ML.
Candidates record on their time. Review top candidates at 2x speed.
AI asks system design questions and evaluates architecture thinking.
Score candidates on specific skills: problem-solving, communication, technical depth.
Connects with Greenhouse, Lever, Ashby, and other tech-focused ATS platforms.
Go live in hours. Import questions or use our pre-built tech interview templates.
Technical and product roles across your org
Software Engineers
Frontend, backend, full-stack
DevOps/SRE
Infrastructure, reliability
Product Managers
Product sense, prioritization
Data Engineers
Pipelines, data modeling
ML Engineers
ML concepts, model design
Engineering Managers
Leadership, team building
From application to offer
Candidate Applies
To your job posting
AI Technical Screen
System design + concepts
AI Scores & Ranks
Objective evaluation
Eng Interview
Top candidates only
Better tech hiring, less time
Less Interview Time
Only talk to pre-vetted candidates
Better Signal
See how they communicate tech
Consistent Bar
Same questions, fair process
Scale Hiring
Grow team without interview burnout
Faster Pipeline
Screen candidates in hours, not days
Technical Confidence
AI validates technical ability
Data-Driven
Compare candidates objectively
Engineer Buy-In
They see qualified candidates only
From seed-stage to enterprise
Startups
Move fast without sacrificing quality. Screen 10x more candidates with your small team.
Scale-ups
Scaling from 50 to 500? AI helps you hire fast without burning out your engineers.
Enterprise Tech
Consistent hiring bar across teams and locations. Integrate with your existing ATS.
How engineering teams hire smarter
"We went from 20 hours/week of engineering time on screens to 5 hours. Engineers only talk to candidates who've already demonstrated strong technical communication."
75% Less Eng Time
100 engineers
VP Engineering
"Remote hiring was a nightmare - coordinating across timezones took days. Now candidates interview async and we review in batches. Hired 30 engineers in 3 months."
30 Hires in 3 Months
Distributed team
Head of Talent
"The system design questions are exactly what we'd ask. AI catches candidates who can code but can't explain their thinking - saves us from bad hires."
Better Quality Hires
Series C
Engineering Director
Common questions about AI interviews for tech
AI evaluates technical candidates on multiple dimensions: problem-solving approach, system design thinking, technical communication, depth of knowledge, and coding concepts. For technical roles, we assess how candidates explain algorithms, discuss architecture trade-offs, and communicate complex ideas clearly.
Yes, we have specialized question banks for: frontend, backend, full-stack, mobile, DevOps, data engineering, ML engineering, and platform engineering. You can customize assessments based on your tech stack (React, Python, AWS, etc.) and seniority level.
Those are coding assessment platforms. Edesy is conversational - AI asks questions and candidates explain their thinking verbally. This assesses communication, system design thinking, and reasoning ability - not just coding. Many tech companies use both: Edesy for soft skills + technical discussion, HackerRank for pure coding tests.
It's ideal for remote hiring. Candidates interview asynchronously on their schedule, from anywhere. AI screens are timezone-agnostic. You can hire globally without coordinating schedules across timezones.
Yes, you can add culture-fit questions about ambiguity tolerance, ownership mindset, collaboration style, and growth orientation. AI evaluates responses against your defined values. Great for fast-growing startups where culture matters as much as skills.
We have PM-specific assessments covering: product sense, analytical thinking, stakeholder management, prioritization frameworks, and technical understanding. AI can evaluate how candidates approach product problems, make trade-offs, and communicate decisions.
Learn more about AI interviews for tech
See how AI can screen technical candidates while your engineers focus on building.