Create Job + JD
Define the role, difficulty (L1/L2), required skills, and DSA topics. AI auto-generates a structured interview rubric in seconds.
Now live
The conversational AI platform for end-to-end technical interviews — Cointervue conducts and scores complete interviews — live coding, DSA, system design, and behavioral and culture fit, with built-in proctoring — so you screen more engineers without burning interviewer hours.
Built for teams hiring engineers
For a company running 500 interviews a year, the saving is significant — before factoring in engineer time.
From job post to hire/no-hire scorecard without a single human in the interview loop — the report is ready within 60 seconds of each interview ending.
Define the role, difficulty (L1/L2), required skills, and DSA topics. AI auto-generates a structured interview rubric in seconds.
Send a link or push directly from your ATS. Candidates join on-demand — any time, any timezone. Zero scheduling friction.
Conversational AI conducts a full L1/L2 interview — dialogue, live coding, DSA, system design, behavioral and culture-fit questions, with built-in proctoring. 45–60 minutes end-to-end.
Within 60 seconds of the interview ending, your HR dashboard shows ranked candidates with detailed scorecards, annotated code, integrity flags, and a calibrated hire/no-hire signal.
Every capability your engineering team needs — without any of them sitting in a call.
Cointervue runs L1/L2 technical interviews on demand — no calendar coordination, no senior engineer time burned on basic screens.
Hiring teams get a structured hire/no-hire scorecard within 60 seconds of each interview instead of waiting days for interviewer availability and debriefs.
Every interview uses the same JD-specific rubric, so candidates are evaluated against identical criteria regardless of when or where they interview.
This removes the variability between interviewers that leads to inconsistent shortlists and missed strong candidates.
An AI interview platform applies the same structured questioning to all candidates, reducing unconscious bias from individual interviewer judgment.
Conversational AI still allows natural follow-up and probing — but scoring stays calibrated and explainable.
Each interview produces a detailed scorecard with rubric scores, coding evaluation, and a calibrated recommendation.
Results are comparable across candidates, making it easier to rank shortlists and move the right people to final rounds.
An AI interview platform standardizes early-stage technical, behavioral, and culture-fit screening. Human interviews remain essential for final rounds and hiring decisions — but AI removes the inconsistency and scheduling burden from high-volume L1/L2 screens.
| Aspect | AI Interview (Cointervue) | Human Interview |
|---|---|---|
| Scoring consistency | Same rubric and criteria applied to every candidate | Varies by interviewer experience, mood, and bias |
| Availability | 24/7 — candidates interview on their schedule | Limited to interviewer calendars and time zones |
| Follow-up depth | Conversational AI probes adaptively in real time | Depth depends on interviewer skill and time |
| Scale | Hundreds of parallel screens without adding headcount | Each screen requires a senior engineer's time |
| Time to signal | Hire/no-hire scorecard within 60 seconds of the interview | Days to weeks of scheduling and debriefs |
Explore tech companies, staffing firms, or the full product.
Senior engineers are your most expensive interviewers. Cointervue runs conversational AI technical screens — so only calibrated candidates reach your engineers in round 2.
When interviewer capacity is short, SLAs slip and placements stall. Cointervue runs concurrent AI technical interviews with consistent rubrics — so delivery teams send ranked shortlists faster.
Give every student unlimited mock interview practice with a real conversational AI — not recorded questions. Then connect your best performers directly to company hiring pipelines for better placement outcomes.
Connect Cointervue to your ATS and hiring workflow. Integration-ready APIs are available from day one.
Most teams stitch together a coding test, a screening tool, and an ATS. Cointervue runs the whole interview — conversation, live coding, behavioral and culture fit — in one platform.
| Capability | Cointervue | HackerRank | HireVue | Karat | Paradox |
|---|---|---|---|---|---|
| Conversational L1/L2 Interview | ✓ Full | ✗ | Behavioral | Human only | Interviewing |
| Live DSA + Coding Execution | ✓ Full | ✓ Full | ✗ | ✓ Human | ✗ |
| Native ATS Connectors (API) | ✓ API-first | Limited | ✓ Some | ✗ | ✓ Some |
| HR Job + Candidate Dashboard | ✓ Full | ✗ | Limited | ✗ | Limited |
| Cost per Interview | ₹199₹169 at 100+/mo · from $5 US/EU | Vendor pricing | Vendor pricing | Vendor pricing | Vendor pricing |
| Unlimited Scale (no humans) | ✓ | ✓ | ✓ | ✗ | ✓ |
| India / MENA Support | ✓ Native | ✓ | US-first | US-first | US-first |
Four capabilities competitors ship as separate tools — together in one B2B product.
Technical, behavioral, and culture-fit rounds with adaptive follow-ups
Real code execution inside the interview
Push ranked shortlists into your hiring stack
Jobs, invites, pipelines, and scorecards together
Anonymized where requested. Names and companies are real early customers; figures are from their first 4–8 weeks.
“We had 12 backend roles open and only two seniors who could run L1s. Ran 31 screens through Cointervue over 12 days — our team reviewed scorecards in Slack, not on calls. Two candidates we almost skipped on resume scored 78+ on DSA; both got offers.”Rahul Venkatesh · Engineering Manager · Product company · Chennai (~85 people)
Honestly thought clients would push back on AI screens. We piloted on one Java mandate — delivered a shortlist of 6 in 4 business days instead of our usual 9–11. Client only asked us to add one human panel for the final round.
Students stopped asking for 'another mock video.' The follow-up questions feel annoying in a good way. We tracked mock scores for 47 students over 6 weeks — median moved from 58 to 71. Still rough on system design prompts, but we're iterating with the team.
First week we sent 18 candidates through for a DevOps opening. I read every scorecard — avg. write-up was longer than what our own interviewers usually leave. Saved roughly 14 engineer hours that week. Rubric for Kubernetes depth still needs tuning.
Scaling engineering teams spend hundreds of senior developer hours conducting early screens. An autonomous AI interview agent transforms this bottleneck by conducting an end-to-end conversational AI interview that adapts dynamically to every applicant. Instead of relying on static forms or multiple-choice questions, the agent engages candidates in real-time technical dialogue, testing their conceptual reasoning, algorithmic choices, and communication.
During each AI technical interview, the software evaluates live code execution across 20+ languages, probes computational complexity, and applies identical job description rubrics across your entire applicant pipeline. This structured approach powers modern AI candidate screening, allowing engineering leaders to protect developer focus while ensuring top talent reaches final rounds faster.
First 5 interviews free, then ₹199 per interview — no commitment. Works with your ATS in under an hour.