Entervued

AI-first hiring platform
India-first, MVP stage

Fundraise deck

Hiring built for a world where proof matters more than claims.

Entervued helps companies identify real talent through AI-led evaluation, integrity checks, and living talent identity instead of relying only on resumes and manual screening.

Raise

INR 75 lakh for 10%

INR 6.75 Cr pre-money | INR 7.5 Cr post-money

Stage

Live MVP, pre-incorporation

Product built, now raising to formalize company and scale.

Founder

Ankit Gautam

Solo founder | AI Researcher | Full Stack Engineer

Live MVP 2-Minute Demo

Entervued

Problem

What is broken

Hiring still runs on weak, expensive, and easy-to-game signals.

Resumes are optimized documents, not reliable proof of ability.
Interviews are inconsistent, manual, and hard to scale across teams.
AI tools and coaching make standard tests easier to game every month.
Great candidates get filtered out before anyone sees real evidence.

Companies do not need more applicants. They need a better way to trust, evaluate, and shortlist the right ones.

Entervued

Solution

What we do

Entervued replaces weak hiring signals with a clear, AI-led proof system.

1

Company creates a role

Job setup, evaluation logic, and desired candidate profile are defined inside the platform.

2

AI runs the first layers of evaluation

Unique tasks, AI rounds, interviews, and structured screening reduce manual work.

3

System checks quality and integrity

Performance, behavior, and consistency signals make candidate quality easier to trust.

4

Company gets a stronger shortlist

Better evidence, better fit signals, and faster decisions with less recruiter effort.

On the candidate side, Entervued also helps users practice, build projects, and grow a living talent identity that can be discovered over time.

Entervued

Product today

MVP status

The MVP is already live, deep, and multi-surface.

Company workspace — 8 pages

AI Automation Engine, job posting with full assessment config, AI-ranked candidate pipeline, dynamic reports with CSV export, 15 interviewer personas with avatar preview & voice synthesis, Talent Fabric, Team Chemistry simulation, settings with webhooks API.

Zero-overhead hiring: one-click auto-invite, AI ranking, interview scheduling, and offer management — all wired end-to-end.

Candidate workspace — 14 pages

Dashboard with real-time pipeline status, job discovery, assignments, AI-augmented rounds, AI interviews with avatar mode, mock interviews with live analysis, Practice Arena, VibeLoom, Vibe Gallery, Fabric Thread, Interview Twin, TalkPrep, leaderboard, full profile editing.

Every candidate action creates signal. Applications auto-trigger assessments. Status flows from company decisions in real time.

Signature IP — 4 systems

VibeLoom (creative coding), Talent Fabric (living identity network), Resonance (awareness layer), and Aria (AI chatbot). Plus 15 AI interviewer personas with natural voice synthesis and avatar demo.

These are not ideas on paper. They are built, interactive, and part of the live product.

Backend — 40+ API endpoints

FastAPI with auth, jobs, candidates, companies, assignments, interviews, AI rounds, Fabric, VibeLoom, chat, webhooks, and avatars. Cross-role data pipeline connects all three workspaces.

Real product architecture with persistent cross-role state management, not a landing page demo.

Live MVP Full Product Guide

Entervued

Why now

Market timing

This market matters now because AI is increasing the cost of weak trust systems.

AI changed the game

It is easier than ever to produce polished but misleading candidate output.

That raises demand for integrity checks and better evidence.

Hiring teams need leverage

Companies want faster hiring with fewer manual steps and stronger confidence.

Automation only matters if the signal remains trustworthy.

Candidates need new proof

More talent exists than a resume can capture.

That creates room for living talent identity and proof-based discovery.

Entervued

Market

Market opportunity

We are entering a category that is already large and still moving toward AI-native hiring.

Global category

$25.7B

Talent acquisition software market in 2025.

India recruitment software

$90M+

Growing software category for recruiting workflows.

India assessment services

$806M+

A much larger adjacent market already paying for evaluation.

Our beachhead is narrower and practical: Indian startups and SMEs hiring engineers, product, data, operations, and other knowledge workers where signal quality matters.

Market references used for this slide: SNS Insider 2025, Expert Market Research 2025, and TechSci 2024 assessment market data.

Entervued

Business model

How we make money

We start with a simple model: B2B subscriptions first.

Primary revenue

Company subscriptions

Monthly or annual plans for jobs, candidate volume, reports, and Talent Fabric features.

Secondary revenue

Candidate premium tools

Advanced practice, deeper feedback, and stronger preparation workflows.

Longer-term upside

Enterprise APIs and integrations

Workflow integrations, developer access, and higher-value enterprise accounts.

Investor takeaway: this is not a vague network-only story. The near-term revenue path is straightforward and B2B-led.

Entervued

Why us

Differentiation

Most tools solve one slice. Entervued connects the full loop.

ATS tools

Good at workflow

Weak at proof, integrity, and candidate growth.

Assessment tools

Good at testing

Weak at identity, long-term discovery, and supply engagement.

Prep apps

Good at candidate help

Weak at employer workflow and trusted hiring outcomes.

Entervued

Evaluation + trust + growth + discovery — one automated ecosystem

Zero manual overhead. Candidate applies → AI assesses → AI ranks → AI interviews → company decides. Every action flows across roles. That integrated, zero-friction loop is the moat.

Entervued

Proof of execution

Honest traction at MVP stage

At this stage, the strongest signal is execution quality and product depth.

Solo founder built a 27-page, 3-role live platform with 40+ API endpoints, end-to-end.
Zero-overhead hiring pipeline: job post → AI assessment → auto-rank → interview → shortlist → offer, all wired and cross-role.
4 signature IP systems (VibeLoom, Talent Fabric, Resonance, Aria) already built and interactive.
15 AI interviewer personas with natural voice synthesis and animated avatar preview.
Comprehensive user guide and investor deck shipped as part of the live product.

Current stage

Deep MVP live. Ready for pilots.

This is not a prototype. 27 pages across 3 roles, a full backend, and an automated cross-role data pipeline are already built and deployed. This raise converts execution into a formal company with design partners and revenue.

27 Pages Live 40+ API Endpoints Solo Founder 3 Role Ecosystem AI Avatar + Voice

Entervued

Go to market

How we will sell

We will go to market in a focused way: win a painful wedge first.

1

Sell the wedge

Target Indian startups and SMEs that care about faster screening and better shortlist quality.

2

Founder-led pilots

Use live demos, direct outreach, and design-partner conversations to close early pilots.

3

Candidate flywheel

Use VibeLoom, Arena, and practice tools to keep talent supply active and visible.

4

Turn Fabric into advantage

As more activity builds up, Fabric becomes a stronger discovery and trust layer.

Entervued

Roadmap

Next 18 months

The next phase is about turning a strong MVP into a repeatable company.

0 to 6 months

Incorporate, tighten core workflow, and start pilots.

Improve company onboarding, assessment reliability, and reporting clarity.

6 to 12 months

Convert pilots to paid accounts and improve trust systems.

Ship better analytics, stronger integrity signals, and employer-facing discovery tools.

12 to 18 months

Build repeatability and deepen the network layer.

Expand Fabric matching, improve GTM cadence, and prepare for a stronger next raise.

Entervued

Founder

Why this founder

Strong early-stage founder fit: technical depth, speed, and full-stack ownership.

Founder

Ankit Gautam

Solo founder. AI Researcher. Full Stack Engineer. Built the MVP personally across product design, frontend, backend, AI workflows, and system architecture.

Can ship product fast without depending on a large team at this stage.
Understands both the technical stack and the product story well enough to iterate quickly.
Now raising to move from solo-built MVP to an incorporated company with real pilot momentum.

Entervued

The ask

Fundraise

Raising INR 75 lakh for 10% equity to turn the MVP into a company with pilots and revenue.

Capital ask

INR 75L

10% equity
Pre-money: INR 6.75 Cr
Post-money: INR 7.5 Cr

Use of funds

40% product and infrastructure
25% founder-led GTM and pilot acquisition
20% first hires / specialist support
10% incorporation, legal, and compliance
5% contingency

Important note: the company is currently not incorporated. This raise is intended to fund incorporation, product hardening, early pilots, and the path to first paid customers.

Entervued

Vision

Closing

"The future of hiring will not be won by the platform that processes more resumes. It will be won by the platform that helps the market trust talent again." Entervued is building that trust layer for an AI-distorted hiring world.

What you are backing

A trust-first, AI-native hiring company with a live MVP and a clear wedge.

What happens next

Incorporate, close pilots, tighten the company workflow, and turn early product depth into market proof.