AI PSYCHOMETRIC ASSESSMENT — LIVE 1,050,000+ LINKEDIN REACH IN 60 DAYS 500+ ELITE TA HEADS IN NETWORK 26-MIN HARD CAP · ALL MODULES BUILT BY A PRACTITIONER, NOT A PRODUCT TEAM AI PSYCHOMETRIC ASSESSMENT — LIVE 1,050,000+ LINKEDIN REACH IN 60 DAYS 500+ ELITE TA HEADS IN NETWORK
Global AI Psychometric Assessment Platform

Hire AI-Ready.Every Level. Every Time.

Validated psychometric, IQ, and AI-era assessment — from graduate intake to C-suite succession. Built for professionals who built their careers before AI and the generations entering it now: objective scores, auditable decisions, zero ambiguity, industry-tunable question banks instead of one-size-fits-all tests.

26m
Hard Cap
5
Scored Dimensions
4+
Industry Verticals
8
Languages
Employer Result Report
Live Sample
124AI-Skills IQ Index
Scale: 70–145 · derived from Fundamentals, Domain Logic & Applied Reasoning accuracy
Fundamentals
82
Domain Logic
74
Applied Reasoning
63
Verification/Risk
88
Learning Agility
79
77/100
Score
56%
Trainable
Hire
Verdict
The market is already watching.Two months of building in public turned into real reach — and real conversations with the people who actually hire.
📈
10.5L+
LinkedIn reach
in 60 days
🤝
500+
Elite TA heads
in direct network
🧪
3
AI-era tests live,
real candidate data
New · Flagship Assessment

AI Psychometric Assessment — Every Generation, AI Era Onward

Built for professionals who built their careers before AI, and for the generations now entering the workforce inside it. The same 5-dimension skeleton, swappable per industry vertical — one test, not a rebuild every time. Scored on real technical depth, not just conceptual judgment: prompt logic, applied AI reasoning, verification instinct, and learning agility, calibrated per role level from fresher to leadership.

01

Fundamentals

AI/LLM core concepts — tokens, context, hallucination, RAG vs fine-tuning.

02

Domain Logic

Prompt engineering / agentic architecture, tuned per role & vertical.

03

Applied Reasoning

Cost trade-offs, tool selection, production debugging under real constraints.

04

Verification & Risk

Governance instinct — when to double-check, escalate, or hold the line.

05

Learning Agility

Coachability — how fast gaps close with structured training.

Industry-tunable for: BFSIGCC / CaptiveManufacturingHealthcare+ any vertical
For Colleges & Corporates

AI Psychometric Tests — Old Gen to the AI-Era Generation

Purpose-built testing for campus placement cells and enterprise TA/L&D teams — not a lab demo. From professionals who built their careers before AI to the generations entering the workforce inside it, calibrated to the role level you’re actually hiring or reskilling for.

30 Qs · 30 minAI-Era

AI Psychometric — Freshers

AI/LLM fundamentals, prompt logic, applied reasoning, verification instinct, learning agility.

Live0–2 Yrs
30 Qs · 30 minAI-Era

AI Psychometric — Laterals

Agentic architecture, prompt engineering, production debugging, AI risk & governance.

LiveExperienced
30 Qs · 30 minAI-Era

AI Psychometric — Leadership

Build-vs-buy strategy, governance oversight, talent & org design, leading change. Hire/Hold/Develop verdict.

LiveSenior Manager+
Assessment Architecture

Plus the Validated Psychometric Track

20 minPsychometric

Cognitive Reflexes

Cognitive speed, pattern recognition, structured reasoning under time pressure.

Graduate–Director
25 minPsychometric

Thinking Diversity Profile

Cognitive style mapping vs. panel benchmark. Generates Panel Mirror Report.

All Roles
25 minLeadership IQ

Leadership Visus Index

Decision quality under ambiguity, ownership orientation, leadership-ceiling scoring.

CXO Succession
20 minTechnical

JD-Linked Technical

Role-specific technical assessment mapped to the job description.

In Development
Proprietary Intelligence Model

The CVD Framework

Cognitive Velocity and Diversity Index — four scored dimensions that measure what interviews and résumés cannot. Benchmarked against your own panel, not a generic norm group.

01

Cognitive Velocity

Thinking speed under calibrated time pressure, scored against your panel’s own baseline.

02

Thinking Diversity

Distance between candidate profile and panel comfort zone. Surfaces groupthink risk early.

03

Adaptive Reflex

Speed of recalibration when the first approach fails — measured, scored, benchmarked.

04

Decisional Gravity

Ambiguity tolerance and ownership of hard calls — for CXO and senior leadership mandates.

Platform Capabilities

Built by a Practitioner. Not a Product Team.

22 years building talent functions at Goldman Sachs, JPMorgan, Google, Microsoft, Deutsche Bank, Airbus and Boeing — now applied to the AI deployment hiring problem. Every capability is labelled honestly: live today, in build, or on the roadmap.

01

Panel Calibration Live

Panels are scored before candidates are. Thresholds are data-driven, not gut-driven.

02

Panel Mirror Report Live

Shows employers when their own panel scores lower than the candidates they rejected.

03

AI Psychometric Assessment Live

5-dimension, industry-tunable AI-era test, delivered via zero-touch email link.

04

Employer-Only Results Live

Candidates never see scores mid-test. No coaching to the test, no gaming.

05

JD-Generated Technical Module In Build

Auto-generating role-specific technical questions directly from a pasted JD.

06

Adaptive Difficulty Engine In Build

Real-time difficulty calibration by candidate seniority and organisation tier.

07

ATS Integration (6 platforms)

Roadmap

SAP SuccessFactors, Workday, Darwinbox, Keka, iCIMS, Greenhouse via single webhook.

08

8-Language Support

Roadmap

English, Hindi, Mandarin, Spanish, French, German, Portuguese, Japanese.

Why Now

The AI Era Broke the Old Hiring Signal

Résumés and interviews were built for a world where experience compounded slowly and skill was visible on paper. That world is gone. A fresher who has never touched a production system can now produce code, prompts, and reports that look competent. A candidate with ten years of experience can be quietly unprepared for how AI actually gets deployed inside a real organisation. Neither of those shows up on a CV — and every candidate now claims to “know AI.” That claim is no longer a differentiator; it’s noise.

01

The real question is testable, not a vibe

Can they reason through a cost trade-off, catch a hallucinated output before it ships, debug an agent in production, or know when to escalate instead of trusting the model blindly? That’s a measurable skill. Until now, nobody was measuring it.

02

The economics of hiring are flipping

An AI-fluent fresher, trained on arrival, now costs less and scales better than an expensive lateral hire whose expertise predates the tools they’ll use daily. We expect lateral hiring to shrink to a minority of total hiring within a few years — fresh talent, trained in, becomes the default.

03

Whoever can tell the difference, wins the transition

Which freshers are actually trainable. Which experienced hires have actually kept pace. That’s what a 5-dimension, industry-calibrated engine is built to answer — objectively, not on gut feel.

04

One engine, not four separate products

BFSI, GCC, manufacturing, healthcare — every vertical needs this, and none of them have the luxury of building a psychometrics team from scratch to get it. That’s why the same skeleton has to be tunable, not rebuilt per client.

GCC Advisory

Building a GCC Talent Function from Zero?

NeuralVisus is built by someone who has done exactly that — Goldman Sachs India, JPMorgan, Google, Microsoft, Deutsche Bank, Airbus, Boeing. 22 years of practitioner experience, now 500+ elite TA heads deep into the conversation.

Speak to Our Advisory Team →
500+
elite Talent Acquisition heads already in-network
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