Start here
Free
For learners who want to try HireEGG before upgrading.
₹0
forever
1 selected domain
Levels 1-20
1 mock / month
5 min mock limit
- 5 level attempts per day
- Premium feedback on unlocked levels
- 1 CV scan/day
- 2 CV makes/month
The Global Infrastructurefor Modern Hiring.
HireEGG helps candidates perform under real interview pressure and gives hiring teams evidence they can inspect, explain, and act on with confidence.
How it works
One laptop gives you a recording. Two viewpoints give you verification.
Most interview tools observe the candidate from one fixed position: the laptop. That view is useful, but it cannot confirm what happens outside the laptop frame.
HireEGG adds an optional companion phone, with consent, so the room can be cross-checked from a second angle. The result is not more noise. It is stronger evidence.
Viewpoint
Laptop + optional room angle
Consent
Candidate sees what is collected
Scoring
Code scores evidence, AI explains
Review
Human-readable report trail
Single-device interview tools
- 01Observe only the laptop frame
- 02Rely on one camera, one microphone, one angle
- 03Infer off-screen behavior without a second witness
- 04Leave reviewers with limited context when signals look unusual
HireEGG two-device verification
- 01Pairs laptop evidence with a room-level viewpoint
- 02Checks whether device, room, and timing signals agree
- 03Surfaces contradictions instead of hiding uncertainty
- 04Gives hiring teams a clearer evidence trail for review
The interview becomes a controlled evidence flow.
Every stage is designed to make the final report easier to trust: consent first, signals second, scoring third, human review last.
01
The interview starts on the laptop
The candidate joins a realistic AI-led interview. The system captures the core interview signals: screen activity, camera, audio, browser focus, and typing rhythm.
Evidence captured
- Screen activity
- Camera feed
- Audio stream
- Browser focus
- Keystroke cadence
02
A consented phone adds the second viewpoint
When enabled, the candidate pairs a companion phone and places it to the side. It becomes an independent room sensor without reading messages, apps, contacts, or personal files.
Evidence captured
- Room angle
- Ambient audio
- Motion context
- Second-screen visibility
03
Independent layers score the evidence
Each layer scores a narrow signal on its own. Laptop layers, phone layers, and cross-device layers work separately, then converge into a clearer integrity picture.
Evidence captured
- Laptop evidence
- Phone evidence
- Cross-device checks
04
Reviewers get evidence, not a vague verdict
The report separates signal scores, confidence, anomalies, and narrative explanation. Hiring teams can inspect why something was flagged before they act on it.
Evidence captured
- Layer scores
- Confidence level
- Anomaly notes
- Narrative summary
Detection layers
Fifteen layers turn interview activity into reviewable evidence.
HireEGG is designed around a simple governance rule: code scores what happened, AI explains what the code scored, and humans make the final hiring decision.
15auditable layers
Independent signal layers
Each layer reads a specific signal and produces its own score. A browser event, an audio anomaly, or a cross-device mismatch does not disappear into one generic risk number.
0AI risk verdicts
AI assists without becoming the judge
The interviewer adapts the conversation and the report narrative explains what happened. Scoring remains deterministic, repeatable, and inspectable.
4report views
Reports built for decision review
Hiring teams see layer scores, confidence, anomalies, and explanation together, so a final decision can be discussed from evidence rather than instinct.
Layers
Signal family
8
Laptop evidence
Screen, browser, webcam, audio, typing rhythm, clipboard, VM context, and candidate presence signals from the primary interview device.
3
Room evidence
A consented phone can add room-level camera, ambient audio, and motion context from a second angle when full verification is required.
4
Cross-device consistency
The system checks whether identity, timing, network, and signal behavior agree across both devices before raising reviewer attention.
Audit principle
No black-box rejection.
A flagged interview should be explainable. HireEGG keeps the chain of evidence visible so reviewers can distinguish real concern from weak context.
Every signal has a source
Every score is inspectable
Every anomaly keeps context
Every report separates evidence from interpretation
Candidate data is a responsibility, not a feature.
Interview data is sensitive. We treat it that way. Every decision about collection, retention, and access starts from candidate rights and enterprise accountability under India's Digital Personal Data Protection (DPDP) Act, 2023.
The phone sensor is optional. Candidates are told exactly what each device collects before the interview begins. No hidden recording, no personal-app access, no surprise retention.
DPDP Act, 2023
India - Digital Personal Data Protection Act
Encryption
TLS 1.3 in transit / AES-256 at rest
Access Control
Role-based / Audit-logged / Least-privilege
Data Processing Agreement
Available for enterprise contracts
What We Collect
Camera feeds, audio, screen activity, and device signals from the laptop and optional phone. Collection is scoped to the detection layers used for that interview.
Retention Terms
Retention is defined before rollout and can be configured by enterprise contract. Deletion rules, access scope, and report visibility stay part of the review.
How It Is Protected
Signals are protected in transit and at rest using modern encryption controls. Access is role-based, least-privilege, and designed for audit review.
Erasure and Review Workflows
Candidates can request deletion or review through the hiring organization or HireEGG support at info@hireegg.com where applicable. Enterprise contracts can define retention and response SLAs.
Our Commitment
The phone sensor is optional. Candidates are told exactly what each device collects before the interview begins. No hidden recording, no personal-app access, no surprise retention. If a candidate declines the phone, the laptop-only interview still runs the laptop-based layers, and the report notes that phone and cross-device verification were not used.
For Companies
HireEGG Super gives hiring teams an interview control room.
Move beyond unstructured calls and scattered notes. Super Interview combines candidate flow, proctoring signals, admin controls, and HR-ready reports into one enterprise hiring workspace.
Interview evidence
2-device
Laptop plus optional phone companion
Integrity review
15 layers
Deterministic signals, AI narration only
Admin surface
1 workspace
Campaigns, candidates, reports, controls
HireEGG Super
Enterprise interview operations
A single system for campaign setup, candidate entry, companion verification, scoring policy, reporting, and HR review.
Structured Super Interviews
Run consistent technical, behavioral, and role-specific interviews with deterministic integrity checks and AI-guided conversation.
Campaign Workspace
Create hiring campaigns, invite candidates, control access keys, configure instructions, and track interview completion from one place.
Decision-Ready Reports
Give HR teams layered reports that separate candidate performance, integrity risk, timeline evidence, and final review notes.
Admin Controls
Protect campaign edits, candidate release settings, report visibility, consent gates, and scoring policy with controlled admin access.
Reports are built for review, not blind automation.
Performance evaluation and integrity evaluation remain separate tracks, so teams can see strong candidates, risky sessions, missing consent, and evidence gaps without relying on a black-box verdict.
HireEGG Loco
The interview practice system for learners and candidates.
Most learners do not lose offers because they are incapable. They lose them because their best thinking does not come out clearly when the clock is running and a follow-up question lands.
HireEGG Loco turns interview prep into a measurable practice loop: realistic questions, pressure-tested follow-ups, scored feedback, and a short list of exactly what to improve before the real call.
Pressure
Live follow-ups
Structure
Cleaner answers
Proof
Score trends
HireEGG Loco Readiness Brief
Software Engineering Interview
Backend / System Design / 45 min
Readiness
82/100
Strong, with work left
Best gains: tighten technical tradeoffs and shorten long answers.
Answer structure
Clear opening, evidence, close
Technical depth
Needs stronger tradeoff reasoning
Communication clarity
Good flow, minor filler words
Conciseness
Answers drift after minute two
Next Drill
Re-answer the distributed cache question in under 90 seconds. State the tradeoff first, then defend the design with one failure scenario.
Practice under real pressure
Answer out loud while the interviewer probes vague claims, asks follow-ups, and keeps the session moving like a real hiring conversation.
Train the exact role
Choose your role, seniority, and target company style so the questions match the interview you are actually preparing for.
Know what to fix next
Every session ends with specific corrections for structure, clarity, pacing, depth, filler words, and missed tradeoffs.
A practice loop that compounds.
Do not just take random mocks. Build a repeatable routine that turns weak answers into rehearsed strengths.
01
Diagnose your current interview shape
Run one realistic session and get a baseline across clarity, structure, depth, pacing, and confidence.
02
Drill the weakest moments
Practice the exact questions, frameworks, or follow-up patterns that pulled your score down.
03
Re-run under pressure
Take the same role again with new follow-ups until your answer quality holds steady.
04
Carry a clean plan into the real interview
Know your best stories, your weak spots, and the answer habits you need to control.
Walk into the interview with proof, not hope.
Start with a realistic mock, find the exact moments that weaken your answer, and improve before they cost you the offer.
Pricing
HireEGG Loco plans are public. Super pricing is designed around your hiring motion.
Learners and candidates can choose a self-serve plan inside HireEGG Loco. Companies evaluating HireEGG Super get a commercial proposal after a product, security, and rollout conversation.
Best start
Pro
For students preparing seriously across core hiring domains.
₹249₹499
per month
8 domains
Full 1-100 levels
11 mocks / month
10 min mocks
- Best-in-class mock report
- Weakness heatmap
- Domain completion certificate
- Coding workshop access, coming soon
- 7 CV scans/day and 11 CV makes/month
Recommended
Max
For learners who want the highest preparation intensity.
₹599₹999
per month
16 domains
Full 1-100 levels
31 mocks / month
Advanced analytics
- Everything in Pro
- Company-specific mock mode
- Role-specific mock mode
- Progress trends over time
- Personalized long-term improvement map
Add-on
CV Bundle
3 CV makes + 5 CV scans
₹99
Add-on
Single Domain Unlock
Full 1-100 levels for one domain
₹149
Add-on
Single Mock Interview
10-minute mock with report and heatmap
₹99
Questions worth answering directly.
Every existing proctoring or interview tool monitors only the candidate's laptop - one camera, one microphone, one viewpoint. It cannot see a second phone on the desk, a person off-camera, or a screen reflected in a window. HireEGG adds an optional companion phone app that acts as a second, independent sensor pointed at the room from a different angle. Two-device cross-verification catches what single-device proctoring structurally cannot see.