Career Identity Normalization

Your True Career Identity
Decoded by AI Agents

ProFile AI deploys autonomous agents that normalize career identity — so recruiters search by real scope of responsibility, not misleading titles.

Join the Beta See How It Works
0 + Beta Participants
0 + Normalized Profiles
0 + Career Coaching Cases
White Space

The Missing Layer in Recruiting

Every player addresses a piece of the pipeline. Nobody addresses the interpretation layer between resume and reality.

Sourcing
LinkedIn, Juicebox, HireEZ
Finding people
Identity Normalization
Nobody → ProFile AI
Understanding who they really are
Screening
Greenhouse, Lever, HireVue
Filtering applicants
Assessment
HireVue, Paradox, Harver
Evaluating fit
The Problem

Recruiters Waste 40-60% of Pipeline Time

The market is full of sourcing tools, but zero interpretation tools. Recruiters decode what candidates actually did — not finding them.

01

Title Inflation

A CTO at a 10-person startup is not a CTO at a 1,000-person company. ATS treats them as equal. Titles have lost meaning.

02

ATS Gaming

Keyword-optimized CVs score high but don't match real capability. Strong candidates with unclear positioning get rejected.

03

Mixed Signals

Candidates with 3+ roles or career pivots become unreadable. Manual evaluation takes 15-30 minutes per CV.

04

No Interpretation Layer

Billions invested in finding and filtering candidates, but the interpretation layer between resume and real seniority is left to human judgment.

The Solution

Career Identity Normalization

Autonomous AI agents build a pre-qualified talent database with normalized seniority profiles. Search by real scope — not titles. Two delivery modes.

Platform

Curated Talent Database

Recruiters access candidates with standardized seniority, clear role positioning, and agent-generated career narratives.

API

Pre-ATS Integration

Agents normalize incoming CVs before they enter the recruiter's pipeline. Fine-tuned to each company's requirements, region, and culture.

Scope of Responsibility

Evaluates team size, budget, decision-making authority. A "CTO" managing 3 people vs. 50+ gets properly differentiated.

Company Context

Company size, stage, industry, and region are factored in. "Head of Product" at a 20-person startup vs. a 2,000-person public company.

Career Trajectory

Progression pattern, speed of growth, and consistency of direction. Developer to CTO in 3 years vs. 10 years signals different depth.

Achievement Signal Strength

Vague claims are flagged. Only candidates with defensible, context-rich profiles are surfaced to recruiters.

How It Works

From Resume to Opportunity

Five steps to becoming a verified candidate in the ProFile AI talent pool.

1

Upload Resume

A candidate uploads their existing resume to the platform.

2

Agent Analysis

An autonomous AI agent analyzes the profile, generates detailed feedback and 3 career positioning options.

3

Resume Generation

Based on the selected positioning, the system generates a new internationally structured resume.

4

Verified Talent Pool

The candidate profile enters the ProFile AI verified talent pool.

5

Direct Discovery

Recruiters with active hiring needs discover and contact candidates directly.

See It in Action

How ProFile AI Transforms Your Profile

A real example of AI-powered feedback and resume transformation.

AS IS
Alex Petrov
IT Manager
Dubai, UAE • alex.petrov@email.com
Summary

Experienced IT professional with 7 years of experience. Managed various technology projects and teams. Skilled in cloud computing, project management, and software development. Looking for new opportunities.

Experience
IT Manager — TechCorp LLC
2020 – Present
  • Managed a team of engineers
  • Responsible for cloud infrastructure
  • Worked on migration projects
  • Participated in budget planning
  • Coordinated with other departments
Senior Developer — DataSoft Inc
2017 – 2020
  • Developed backend services
  • Worked with databases
  • Fixed bugs and improved performance
Skills

AWS, Python, Java, SQL, Docker, Kubernetes, Project Management, Leadership, Communication

ProFile AI
TO BE
Alex Petrov
Digital Transformation Manager
Dubai, UAE • alex.petrov@email.com • linkedin.com/in/alexpetrov
Executive Summary

Technology leader with 7+ years driving digital transformation across enterprise environments. Led cloud migration initiatives saving $1.2M annually, managed cross-functional teams of 12+ engineers, and delivered 15+ infrastructure projects on time and within budget. Combines deep technical expertise in cloud architecture with strategic business acumen.

Professional Experience
Digital Transformation Manager — TechCorp LLC
2020 – Present
  • Led a 12-person engineering team through full cloud migration, reducing infrastructure costs by 34% ($1.2M/year)
  • Drove adoption of CI/CD pipelines across 5 product teams, cutting deployment time from 2 weeks to 4 hours
  • Owned $2.4M annual technology budget, achieving 98% forecast accuracy over 3 fiscal years
  • Established cross-functional partnerships with Product, Sales, and Finance — delivering 3 revenue-generating tools
Senior Backend Engineer — DataSoft Inc
2017 – 2020
  • Architected microservices platform processing 2M+ daily transactions with 99.97% uptime
  • Optimized database performance by 60%, reducing query response time from 800ms to 120ms
  • Mentored 4 junior developers, 2 of whom were promoted within 18 months
Core Competencies
Cloud Architecture (AWS/GCP) Digital Transformation Team Leadership Budget Management ($2M+) CI/CD & DevOps Stakeholder Management
Why Us

A New Category, Not a Better Version

ProFile AI creates Career Identity Normalization — a layer that didn't exist before. Here's how we differ from everything else.

They Do
Screen applicants after they apply
Match keywords to job descriptions
Conduct AI interviews
Build job leveling for internal employees
Enterprise-only ($100K+/year)
We Do
Normalize candidate identity before screening
Evaluate real scope of responsibility and seniority
Create structured, pre-qualified talent data
Normalize career identity across companies for recruiting
Accessible for SMEs and startups

Three-Layer Competitive Moat

Proprietary Training Data

1,000+ expert-annotated resumes, 200+ real career coaching cases with actual hiring outcomes. Not scraped LinkedIn data — real human expertise encoded into autonomous agents.

Domain Expertise Flywheel

Agentic AI product development (G42) + strategy consulting (McKinsey) + enterprise data science (QNB). Active career coaching community of 60K+ provides continuous feedback loop.

Network Effects

Each normalized profile improves the model. More recruiters using the database means more validation data. 800+ beta participants already contributing.

Market

Where Title Chaos Meets AI That Understands It

The GCC has structural characteristics that amplify our value. An international workforce from 100+ nationalities where a "Director" from India, Germany, and Egypt may have vastly different scopes. No standardization exists.

  • Title chaos at scale: 100+ nationalities, zero standardization
  • Referral-driven market lacking structured discovery
  • High demand, low HR tech infrastructure vs. US/EU
  • First-mover advantage in career identity normalization
Same Title, Different Reality
🇮🇳 India
"Vice President" → Senior Manager (IC, 3 reports)
🇩🇪 Germany
"Abteilungsleiter" → Department Head (40 reports, $5M budget)
🇪🇬 Egypt
"General Manager" → Operations Director (120 staff, P&L owner)
🇺🇸 USA
"CTO" → Tech Lead (startup, 4-person eng team)
Same seniority query. Four different realities.
Founding Team

Built by Industry Leaders

Domain expertise (hiring + coaching), strategy (McKinsey), agentic AI/ML (QNB), and enterprise engineering (G42). The product is an extension of real expertise, not a hypothesis.

Ivan Doronin

Ivan Doronin

AI Program Manager, G42

Career consultant with 60,000+ followers. Hundreds of professionals repositioned through hands-on coaching. The proprietary training data source.

Dmitry Alexandrovich

Dmitry Alexandrovich

ex-McKinsey, Consulting & M&A

Ex-Associate Partner at McKinsey, now running a consulting and M&A boutique. Deep GCC network for B2B partnerships.

Konstantin Kirko

Konstantin Kirko

SVP Data Science, QNB Group

Enterprise-grade agentic AI leadership at one of the largest banks in the Middle East. Ensures normalization agents are production-quality.

Dmitry Bochok

Dmitry Bochok

Sr. Frontend Developer, G42

Specializing in high-performance product interfaces and scalable frontend architecture.

Ilya Shcherbakov

Ilya Shcherbakov

Sr. Backend Developer, G42

Responsible for backend architecture and AI platform integration.

Testimonials

What Our Beta Users Say

Real feedback from professionals who tested the ProFile AI platform.

"I spent 3 months applying on LinkedIn with almost zero callbacks. Within 2 weeks of using ProFile AI, I had 4 interview requests from companies I actually wanted to work for."
MK
Maria K.
Senior Product Manager, Dubai
"As a recruiter, I'm drowning in noise on traditional platforms. ProFile AI gives me pre-qualified, well-positioned candidates. The quality difference is night and day."
AR
Ahmed R.
Head of Talent Acquisition, Abu Dhabi
"The AI analysis completely reframed my career narrative. I went from 'IT manager' positioning to 'Digital Transformation Lead' and the response rate tripled."
SL
Sergei L.
Digital Transformation Lead, Riyadh
Founder Strategy

Built to Last, Not to Burn

ProFile AI is intentionally self-funded in its early stages. We validate the model with real users before bringing in external capital.

Validate with real users
Build sustainable unit economics
Prove product-market fit
Fundraise from strength
Closed Beta

Join 800+ Professionals in the Beta

Help us build a hiring market where signal replaces noise, and companies connect directly with the best candidates.

Currently running a closed beta. We'll notify you when spots open up.