We've seen 5 main reasons why customers chose us over others…
We've seen 5 main reasons why customers chose us over others…
Real environments, not simulations or scenarios
our secret sauce…
Real environments, not simulations or scenarios
our secret sauce…
Other tools and methods simply ask coding tests or MCQ quizzes or create "good environments" to ask candidates 10-20 questions in 60-90 minute work trials or simulations. But these are still "simulated" scenarios, toy problems dressed up as realistic work
Utkrusht deploys actual live infrastructure. Candidates work inside real databases, APIs, messy codebases, and systems that are already running. They're not solving a hypothetical problem, they're debugging an actual system behaving exactly like production
It's the difference between making them try a flight simulator vs actually flying a plane, and we know which one actually predicts better job performance
Our product then evaluates candidates based on this method, not by testing resume knowledge or doing AI-based video interviews or traditional coding tests, etc.
This depth and correctness of their approach to solving tasks identifies the Top10 candidates within 100s of resumes you might have (plus, you get candidates' video recording sessions, shortlist reports, etc).
We've back-tested this method across ~180 companies, and with leaders at Oracle, Microsoft, Google, etc. to validate this gives possibly the strongest ideal candidate, fit for your requirements
Other tools and methods today create "good environments" around asking candidates 10-20 questions in 60-90 minute work trials or simulations. But these are still "simulated" scenarios, toy problems dressed up as realistic work
Utkrusht deploys actual live infrastructure. Candidates work inside real databases, APIs, and systems that are already running. They're not solving a hypothetical, they're debugging a system that behaves exactly like production
Our product evaluates candidates based on this method, and not by testing resume knowledge or doing AI-based video interviews
This depth and correctness of their approach to solving tasks identifies the Top10 candidates within 100s of resumes you might have (plus, you get candidates' video recording sessions, shortlist reports, etc).
We've back-tested this method across ~180 companies, and with leaders at Oracle, Microsoft, Google, etc. to validate this gives possibly the strongest ideal candidate, fit for your requirements

Btw, check Anton Osika's (CEO, Lovable) response of this exact method when Harry Stebbings (20VC) asked, — “What do you look for during candidate evaluations?”
His key takeaway: "If I could just watch someone with a video camera HOW they worked…"
That is a good predictor to understand how they'll perform at the job.
Deeper technical signals through quality and depth of Tasks
from engineering leaders at Oracle, Microsoft, Google, etc.
Deeper technical signals through quality and depth of Tasks
from engineering leaders at Oracle, Microsoft, Google, etc.
We even thoroughly researched ~110 (not a typo) skill assessment tools out there, and one common complaint engineering leaders have is -- the quality and depth of questions/coding tests/etc. they ask is below average, never really gives recruiters strong candidate signals they're looking for
Other tools and methods test problem-solving skills in isolation. Utkrusht assesses how engineers/developers operate under real conditions -- latency constraints, database locks, distributed system failures, live traffic considerations
When a candidate deploys a database change or optimizes an API in actual prod-environment, you see their judgment, their trade-off thinking, and whether they can explain why they chose that approach, not just write code that works in a vacuum
We also surveyed/interviewed engg leaders at 250+ tech companies (including FAANG) to understand the depth needed in assessments and interviews
This further guarantees you're setting up yourself to get strong quality candidates in your team
We even thoroughly researched ~110 (not a typo) skill assessment tools out there, and one common complaint engineering leaders have is -- the quality and depth of questions/coding tests/etc. they ask is below average, never really gives recruiters strong candidate signals they're looking for
Other tools and methods test problem-solving skills in isolation. Utkrusht assesses how engineers/developers operate under real conditions -- latency constraints, database locks, distributed system failures, live traffic considerations
When a candidate deploys a database change or optimizes an API in actual prod-environment, you see their judgment, their trade-off thinking, and whether they can explain why they chose that approach, not just write code that works in a vacuum
We also surveyed/interviewed engg leaders at 250+ tech companies (including FAANG) to understand the depth needed in assessments and interviews
This further guarantees you're setting up yourself to get strong quality candidates in your team
Candidate experience like this, leads to lowest drop-offs
Candidate experience like this, leads to lowest drop-offs
We've the lowest candidate drop-off rates in the industry, especially for senior roles, <12%
Few reasons for this - no artificial constraints of browser work or installing anything extra, they use AI tools available to them on their desktop + they get to keep a copy of the code they wrote after the assessment!
Plus, since our Tasks are carefully designed to be simple 30-45mins, candidates LOVE taking it. 70% of candidates take our Tasks during office hours (not on weekends or after work)
We've the lowest candidate drop-off rates in the industry, especially for senior roles, <12%
Few reasons for this - no artificial constraints of browser work or installing anything extra, they use AI tools available to them on their desktop + they get to keep a copy of the code they wrote after the assessment!
Plus, since our Tasks are carefully designed to be simple 30-45mins, candidates LOVE taking it. 70% of candidates take our Tasks during office hours (not on weekends or after work)
We're Engineering leaders ourselves
not some indie hacker who built this tool in a weekend
We're Engineering leaders ourselves
not some indie hacker who built this tool in a weekend
Our platform is developed only after we've personally experienced tech hiring pain points ourselves, being a part of ~500 interviews
So it's not some random AI tool we built in 2 weeks, instead we've built a massive infrastructure to conduct assessments of actual job simulations, not AI-video interviews
We intentionally made this for tech hiring, typically engineering and developer based roles, and not hiring for all functions
Our platform is developed only after we've personally experienced tech hiring pain points ourselves, being a part of ~500 interviews
So it's not some random AI tool we built in 2 weeks, instead we've built a massive infrastructure to conduct assessments of actual job simulations, not AI-video interviews
We intentionally made this for tech hiring, typically engineering and developer based roles, and not hiring for all functions
Built for small and medium-sized tech recruiting teams
typically companies <5000 employees
Built for small and medium-sized tech recruiting teams
typically companies <5000 employees
Our assessment tasks are specially built for — small and mid-sized businesses (SMEs), software development companies, or tech recruitment agencies where screening and shortlisting candidates is highly critical
Unlike some of the other players, we're not a big brand with huge funding and big resources, so if that's your main criteria you should not choose our product
But if your main criteria is — strongest evaluation of technical skills, never do “guesswork” hiring, always have high degree of confidence (~95%) before hiring, direct founder and team support (no AI-bots or support tickets) -- then our product and we are right for you
We're a lean team who obsess daily, have done rigorous research in our models to get the exact hiring outcomes you want
Our assessment tasks are specially built for — small and mid-sized businesses (SMEs), software development companies, or tech recruitment agencies where screening and shortlisting candidates is highly critical
Unlike some of the other players, we're not a big brand with huge funding and big resources, so if that's your main criteria you should not choose our product
But if your main criteria is — strongest evaluation of technical skills, never do “guesswork” hiring, always have high degree of confidence (~95%) before hiring, direct founder and team support (no AI-bots or support tickets) -- then our product and we are right for you
We're a lean team who obsess daily, have done rigorous research in our models to get the exact hiring outcomes you want