Institutional Technical Screening Infrastructure

Autonomous Technical Hiring for Engineering Teams.

Replace 40+ hours of first-round developer screens. Vettis conducts natural bi-directional voice interviews, benchmarks in-browser code execution down to the millisecond, and generates legally compliant NYC Law 144 scorecards.

85% Senior Engineer Time Saved Zero External AI Copy-Pasting NYC Local Law 144 Audited

VETTIS EVALUATION TELEMETRY

Live Stream

Candidate: Yash Bardhan (#142) Score: 89.4 / 100

Track: SDE-1 Python Full-Stack • Interviewer: Dr. Elena Vance

Runtime 12.4ms

Memory 14.2 MB

Watchdog Locked

Silent Recruiter Shadowing: Zero Candidate Pressure

Why Leading Engineering Teams Choose Vettis

Built from the ground up to replace subjective interviews and easily-cheated take-home tests. Explore the four foundational pillars that make Vettis the gold standard in technical candidate evaluation.

V-01

Dr. Elena Vance AI Interviewer

Specialization: Distributed Systems & Concurrency

Live Dialogue

Interviewer Technical Probe:

"How do you resolve lock contention when multiple worker threads update a shared circular ring buffer under high ingestion load?"

Candidate Spoken Transcription:

"We utilize atomic compare-and-swap (CAS) operations on the head pointer rather than a global mutex, maintaining thread safety with zero context switching..."

Evaluation Confidence: 96.4% Depth: Senior Tier

Domain-Expert AI Interviewers with Adaptive Speech Synthesis

Engineering teams spend an average of 40+ senior developer hours screening first-round candidates. Vettis solves this with eight domain-specialized AI technical evaluators that conduct natural, two-way conversational interviews using adaptive voice synthesis. Unlike rigid quiz tools, our models listen to candidate verbal reasoning, challenge unviable assumptions, and dynamically probe architectural trade-offs in real time. Hirers receive high-signal technical interviews on day one without pulling senior engineers away from shipping critical production software.

8 Specialized Personas • Natural Voice Synthesis 85% Screening Time Saved

vettis-runtime // Python 3.12 & C++20 Clang

14/14 Unit Tests Passed

1 def sliding_window_maximum(nums, k):
2 q = collections.deque()
3 return [nums[q[0]] for i, n in enumerate(nums)]

Execution Speed 12.4 ms Top 5% Latency

Peak Heap RAM 14.2 MB Zero Memory Leak

Complexity O(1) Space Amortized Bounds

Containerized In-Browser Execution & Memory Profiling

Standard coding tests only verify basic boolean output, completely missing memory leaks, excessive CPU overhead, and unoptimized complexity. Vettis executes candidate code inside secure, isolated container sandboxes supporting Python, C++, Modern JavaScript, and SQL with zero local setup required. Every submission is benchmarked against 14+ automated stress tests that capture exact millisecond wall-clock runtime, heap memory allocations, and amortized complexity bounds. Hirers receive empirical verification of whether a developer writes robust production code or fragile scripts that crash under scale.

RAM Allocation Profiling • Millisecond Telemetry Production-Grade Rigor

security.proctoring.window_watchdog

Countdown: 45 Seconds

WINDOW_BLUR_TRIGGERED Active Forfeit Protocol

Candidate switched tabs or lost window focus. Automated security protocol initiated: candidate must return within 45 seconds or session is forfeited.

Display Lock Enforced

Clipboard Monitored

Integrity Log SHA-256

Deterministic Window Focus & Anti-Cheating Architecture

The rise of external AI chatbots and browser copilot extensions has broken traditional unmonitored take-home assignments. Vettis restores complete institutional integrity using real-time browser window blur listeners, fullscreen enforcement, and clipboard protection. If a candidate leaves the exam room or attempts to paste prompts into external tools, an audible 45-second countdown timer immediately engages. Failure to refocus within the countdown permanently invalidates the session, ensuring campus placement cells and enterprise recruiters hire only authentic, unassisted talent.

Fullscreen Enforcement • Blur Loss Interception 100% Authentic Submissions

audit.compliance.nyc_law_144

Verified Cryptographic Passport

Yash Bardhan • Candidate #142

Track: Python Full-Stack & Distributed Systems

89.4 / 100 Strong Advance

System Architecture & Concurrency 92%

Code Rigor & Memory Bounds 88%

Verbal Reasoning & Problem Decomposition 87%

NYC Local Law 144 Compliant Diagnostic Passports

Subjective hiring decisions create legal exposure and permit unconscious interviewer bias to skew candidate selection. Vettis synthesizes every test into an auditable, cryptographic performance passport that strictly complies with NYC Local Law 144 and international fairness mandates. Hiring managers and placement committees review granular quantitative scores across modular system design, code performance, and verbal problem solving. Every passport contains verbatim audio transcripts and replayable code snapshots, providing an indisputable institutional audit trail to justify hiring decisions.

Zero Biometric Emotion Bias • Exportable Audit JSON/PDF Institutional Audit Trail

Ready to Modernize Your Technical Hiring?

Provision your verified organization workspace in 60 seconds. Designed for early-stage startups and enterprise campus placement cells.

Verified Workspace Active

Zeta Systems • Enterprise Console

Recruiter: Rakesh Malhotra (Founder & Engineering Lead) • Gurugram, India

Active Assessment Pipeline Telemetry

Real-time candidate telemetry synchronized across active proctored interview rooms.

Live Telemetry Synchronized

18 Invited Candidates

4 Active in Session

1 Tab-Blur Warning

13 Completed & Scored

Candidate & Roll Number	Track	Proctoring Telemetry	Status
Candidate #248 (1222180)	C++ High Performance	Tab Blur Detected (28s left)	Active in Room (Q2)
Yash Bardhan (1222151)	Python Full-Stack & Systems	Display Locked • Focus 100%	Completed (Score: 89.4)
Aman Verma (1222105)	Competitive DSA	Display Locked • Focus 100%	Completed (Score: 92.0)

Verified Technical Evaluation Passport

Yash Bardhan • Candidate #142

JMIT Radaur • Token VET-481 • NYC Local Law 144 Compliant

89.4 / 100 Strong Advance

Architecture & Concurrency 92%

Demonstrated clean mastery of sliding window rate limiting and distributed locks.

Code Rigor & Memory 88%

Passed 14/14 automated test cases with O(1) amortized RAM complexity.

Verbal Problem Solving 87%

Accurate oral analysis of Redis token bucket vs ring buffer trade-offs.

Submitted Implementation Code

def rate_limiter(request_timestamps, window_size, limit):
    # Implemented sliding window with circular ring buffer
    now = time.time()
    valid_window = [t for t in request_timestamps if now - t <= window_size]
    return len(valid_window) < limit

Transcribed Spoken Reasoning (Audio Playback)

"We maintain timestamps in a sorted set or ring buffer to achieve amortized O(1) time complexity. When high concurrency spikes occur, token bucket avoids Redis lock contention compared to sliding log counters..."

Autonomous Technical Hiring for Engineering Teams.

Why Leading Engineering Teams Choose Vettis

Domain-Expert AI Interviewers with Adaptive Speech Synthesis

Containerized In-Browser Execution & Memory Profiling

Deterministic Window Focus & Anti-Cheating Architecture

Yash Bardhan • Candidate #142

NYC Local Law 144 Compliant Diagnostic Passports

Ready to Modernize Your Technical Hiring?

Zeta Systems • Enterprise Console

Active Assessment Pipeline Telemetry

Yash Bardhan • Candidate #142

Submitted Implementation Code

Transcribed Spoken Reasoning (Audio Playback)

Campaign Dispatcher & Automated Invites

Organization Workspace Provisioning

Live Evaluation Room: Candidate #248

Inject Custom Question into AI Dialogue

Verifying Corporate Identity...