Upload resumes in bulk and get each one scored against the skills in your job description, with the reasons written in plain language. Share the shortlist with hiring managers in one place, collect their feedback there, and send your top candidates a hands-on Task before interviews.
No credit card required | Quick 5 mins setup
Candidates assessed
Directly cuts down time-to-hire by
Technical skills covered
Candidate completion rate
Key outcomes
for tech and engineering teams
Shortlist you can trust, without reading every resume
Upload resumes in bulk. Each one is scored and sorted into strong and weak fit, so your team starts with the best profiles.
No screening the same profiles again and again
HR and hiring managers work from one list, with tags, comments and recommendations on each candidate.
Keep control of candidate communication
Selection and rejection emails are optional. Send them from the platform, or keep all communication on your own channel.
Send hiring managers candidates with proof of skill
All candidates complete a hands-on Task, so the panel sees real work before the interview.
Solve your top challenges with resume shortlisting
Resume shortlisting key challenges
Utkrusht solutions
Hundreds of resumes per role, and no time to open every profile
Every resume is scored and ranked as soon as it is uploaded
The ATS score can't be trusted. A 59% profile is missing the skills, a 0% profile has them
Each skill is scored on evidence, with the reason shown next to it
Every resume looks the same, with the same claims and the same numbers
Strong anti-proctoring feature set. Plus, candidates debug and fix a running system with AI allowed. The recording and prompt trail show who did the thinking
HR screens, then the hiring manager also screens the same profiles again
One fit report both can read, written in plain language and shareable by link
A flashy resume still turns out to be a weak candidate in the interview
Shortlisted candidates complete a Task, so skills are proven before interview time is spent
Features that
make Utkrusht different than others
Evaluation method
Resume fit score
Each must-have skill from your job description is marked as demonstrated or only listed, with the supporting line from the resume.
In-depth candidate profiling
Candidate deep research
GitHub profiles and any links the candidate shares are researched: how old the profile is, which projects are real work and which are learning exercises, and how deep the work goes.
High-volume
Bulk upload and search
Upload resumes in bulk, search the whole pipeline in plain language, and select or reject with your own email templates.
Non-leakable Tasks
Tasks already built-in for your candidates
Shortlisted candidates debug and fix a deployed system on their own machine. You get the recording and a report on skill, AI usage and problem solving.
FAQs
What does the fit score look like?
The candidate's resume, checked against the must-have skills in your job description, alongside a deep research validation done on LinkedIn, GitHub, etc. profiles and other shared links are researched and shown to you as a signal.
Anything suspicious is flagged.
Most candidates have no public GitHub. Does that count against them?
No. GitHub is shown as a separate signal and is left out of the fit score, because many strong engineers work on private code.
Our ATS already gives a score. Why use another one?
Most ATS scores come from keyword matching. Utkrusht's score comes from real evidence and proof-of-work shown to you, and you can see the reason behind each skill.
Are low-scoring candidates rejected automatically?
No. A weak resume can still belong to a strong candidate, so selecting and rejecting is always your call.
Resumes are written to match the job description. How do you know the claims are true?
From the resume alone, you can't be sure. That is why shortlisted candidates take a Task and show the skill in a running system.
Still got questions?
Just book a call directly with our team
