Skill Match
88%
Interview as a service, built for hiring teams that screen at scale.
Automate evaluations, enable proctoring, and identify the best candidates faster.
SkillBrew.AI

Skill Match
88%
Communication
Strong
Confidence
87%
Matching Skills
Screening hours saved per hire
AI Interviews completed
Interviewee experience rating
To run a full AI Interview
Every open role bleeds recruiter time across three hidden cost centres.
MANUAL RESUME SHORTLISTING
15hrs
per role spent scanning resumes and matching profiles manually
Avg. 4 roles = 60 hours wasted
SCHEDULING & COORDINATION
7hrs
per role on back-and-forth calls, emails, slot coordination
Avg. 4 roles = 28 hours wasted
INTERVIEWER TIME
30hrs
per role in live interview rounds, debrief, scoring, decisions
Avg. 4 roles = 120 hours wasted
Calculate your cost
9 Roles
Drag to adjust number of open positions
Shortlisting & matching
135h
Scheduling & coordination
63h
Live interviewing rounds
270h
Data movement
90h
Total hours per screening cycle
558 hours
YOUR ESTIMATED COST
₹8.4L
resource cost equivalent per hiring cycle
Based on avg. ₹1,500/hr blended resource cost
Hours recovered with SkillBrew
424h
Cost recovered per cycle
₹6.4L
SkillBrew AI Interviews replaces all three with
2 steps
Traditional interviews are inconsistent, expensive, and slow. Here's what changes when AI takes over the screening.
Available 24/7
Proctoring
Time Saving
Energy Saving
No Bias
Strong Match Probabilities
Quality Analysis
Six problems every recruiter recognizes. Six SkillBrew solutions that actually work.
PROBLEM 1
Candidates use unfair aids, switch tabs mid-interview, copy-paste answers, and only perform well during live sessions leaving you with hires that underperform from day one.
SKILLBREW FIX
BrewShield, Proctored AI Interviews
Real-time monitoring of tab switches, copy-paste, multiple faces, prohibited objects, and device activity. Every session is fully secured automatically.
PROBLEM 2
Chasing candidates with calls and follow-up emails, coordinating slots back and forth, and manually nudging no-shows, it takes 5+ hours per role your team will never get back.
SKILLBREW FIX
One-Click Invite via Email & WhatsApp
Send interview links instantly through pre-built templates or WhatsApp. Automated reminders and candidate acknowledgements run on their own.
PROBLEM 3
Finding a qualified interviewer who truly understands a specialized role takes time, costs significantly, and still produces inconsistent assessments depending on who shows up that day.
SKILLBREW FIX
Meet Hridesh - AI Interviewer, Available 24/7
Hridesh reads the JD, understands required skills, asks sharp follow-ups, and never misses a critical question for any role, any time.
PROBLEM 4
Long hiring workflows lose top talent to faster-moving companies. By the time you reach the offer stage, your best candidate has already accepted another offer elsewhere.
SKILLBREW FIX
A 2-Step process: Create and Invite
Set up in under 3 minutes. Invite with one click. The AI runs the interview from start to finish and hands you a ranked shortlist.
PROBLEM 5
When 50 candidates complete interviews, manually reading every summary, comparing scores, and deciding who to shortlist becomes a full-time job in itself, with no consistency.
SKILLBREW FIX
Best Candidate Algorithm
AI ranks candidates by performance, integrity score, and skill match. Your top fit rises to the top automatically. No scrolling, no guesswork.
PROBLEM 6
Two people interview the same candidate and come back with completely different scores based on their own standards, mood, and bias. You end up making hire decisions on whoever wrote the most convincing feedback, not who was actually the strongest candidate.
SKILLBREW FIX
Standardized Reports Across Every AI Interview
AI evaluates every candidate on the same dimensions, regardless of how the conversation adapted. The questions flex to each candidate. The measurement never does.
Manual interviews take time and vary by candidate.
SkillBrew's AI Interviews help you screen fairly and at scale, focusing on the best-fit candidates.
Define role, skills, duration, and difficulty once.
Fill Interview Details
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Frontend Developer Interview
AI ML Interview
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Frontend Developer Interview
AI ML Interview
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Fill Interview Details
Frontend Developer Interview
AI ML Interview
AI phone calls for compatibility pre-screening.
Track invited, ongoing, and completed interviews.
Hiring Interview
Front End Developer
This interview will assess your technical skills, problem-solving abilities, and cultural fit. Prepare for questions on JavaScript...
| # | Name | Status |
|---|---|---|
| 1 | Alice | IncompleteCompleted |
| 2 | Bob | IncompleteCompleted |
| 3 | Charlie | IncompleteCompleted |
Track screen, device, behavior, and environment in real time.
Skills, clarity, confidence, and accuracy analyzed.
AI ranks candidates based on performance and integrity.
Choose between fully automated, hybrid, or manual interview flows based on your hiring needs.
Hand the interview to AI. The AI reads the job description, studies the candidate's resume, and conducts the entire interview autonomously.
Auto-generated questions
AI builds every question from the JD and candidate profile.
Zero prep required from your team.
Adaptive follow-ups
Questions evolve in real time based on how the candidate responds.
No two interviews are the same.
Scored automatically
Every answer is evaluated. You receive structured insights
and skill scores immediately after.
While competitors use 5 to 7 step process, SkillBrew reduces the entire process to two actions.
CREATE INTERVIEW
Frontend Developer
30min
Intermediate
INVITE CANDIDATES
Priya Sharma
Sent
Lia Pareek
Sent
Anjali Menon
Sent
Arjun Mehta
Sent
Sneha Pillai
Sending...
SHORTLIST READY
#1
Priya Sharma
87%
#2
Arjun Mehta
74%
#3
Sneha Pillai
61%
Performance, integrity, and skill insights presented in one place so you can act faster.
KEY METRICS
Average Grade
50%Accuracy Score
82%Clarity Score
65%English Proficiency Score
20%SKILL EVALUATION
React
60%Node.js
82%Python
30%Angular
40%The candidate should enhance clarity and relevance in their responses, providing more structured and relevant answers to complex technical questions.
Strong React fundamentals. Communicated component architecture clearly and confidently.
TypeScript knowledge is shallow. Needs deeper understanding of generics and utility types.
Good candidate for a frontend role. Recommend pairing with a strong TS mentor in onboarding.