AI Recruiter

Virtual recruiter that scales hiring 10–100×

Founders: Daniel Slupskiy & Oleg Voytenko

Problem (1/2)

LinkedIn Does Not Scale

Hiring through LinkedIn scales only by adding more recruiters

One recruiter = one account

100–200 invites per week

LinkedIn limits → hard cap on speed

To double pipeline volume → must hire 2× recruiters

Costs grow linearly, quality does not

LinkedIn is the #1 candidate source, but the most expensive to scale

Problem 2/2

Human speed kills conversion

Recruiters can't handle dozens of parallel conversations

  • Slow responses, irregular follow‑ups, burnout
  • Hot candidates are lost because no one answers in time

The data is clear

  • 80% of candidates want faster recruiter responses – only ~19% get replies within 24h. HR Dive
  • ~23% of candidates lose interest if no response within a week. BrightHire
  • Responding within 48h → ~3× higher chance of successful hire. jobtarget.com

The Solution

AI Recruiter

A virtual recruiter that replaces 95% of human recruiting work:

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2
3
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5
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1

Candidate sourcing

2

Personalized invites

3

Automated follow-ups

4

Instant 24/7 responses

5

Vacancy & company Q&A

6

Screening

7

Interview scheduling

Uses a structured vacancy brief

Conducts natural conversations

Operates strictly within context

Escalates unclear cases to human-in-the-loop

Learns from real client interactions

Manages multiple profiles simultaneously

Current stage: READY ALFA VERSION

01

Onboarding & agents

  • Company signs up, sets up company profile
  • Rents any number of LinkedIn agents (real, pre‑vetted profiles)
02

Job & campaign setup

  • Create or paste job description from url or short description
  • AI generates outreach sequence, FAQ, screening questions
03

Automation & pipeline

  • System finds candidates on LinkedIn and launches outreach
  • AI handles replies, answers questions, runs screening
04

Handoff

  • Recruiter sees a Kanban pipeline (Invited → Messaging → Replied → Interested → Applied)
  • Gets CVs, answers and full chat history, then just schedules interviews

Traction — already running at scale

We are the first customer. Eventyr uses 30 AI recruiters

Processes 8–10k candidates per month

Last 6 months of real usage:

3

Humans

48,970

Invites sent

46.7%

Connection rate

(22,866 accepted)

75%

Reply rate

on accepted invites (15,273 replies)

Business model

Pricing

$500 / month per AI recruiter (agent)

One agent handles up to ~800 candidates/month

High‑margin SaaS: main costs — infra, OpenAI, Unipile & LinkedIn accounts


Future revenue layers

  • Premium intelligence (response prediction, personalization)
  • Paid perks — candidate reservation, visibility boosts, etc.

Cost structure:

  • Account rental: Infrastructure (OpenAI, Unipile): ~$50

Gross margin: ~$400 (80%)

Scaling Model

1 AGENT

800 candidates / MONTH

10 AGENT

8,000 candidates / MONTH

100 AGENT

80,000 candidates / Month

EASY COST-EFFICIENT Scaling = simply rent more AGENTS

Competitive Landscape

Understanding how AI Recruiter stands apart from traditional and automated solutions.

OUR LONG-tERM VISION

v1.0 AI Recruiter

(1-12-18 months)

  • Focus: LinkedIn sourcing, outreach, AI conversations, screening
  • Benchmark: Gem ($31M ARR, $1.2B valuation)s
  • Our Target: $3-10M ARR
  • Key differentiator: Full AI conversations vs. just sourcing & engagement automation

v2.0 Talent Marketplace

(18-36 months)

  • Focus: Candidate/recruiter/company marketplace, rejected candidates monetization
  • Benchmarks: Mercor ($100M ARR, $10B valuation), Toptal ($1.3B revenue)
  • Our Target: $20-50M ARR
  • Key differentiator: Pre-vetted candidates from real hiring pipelines + AI-scored profiles

v3.0 Data & Insights Platform

(36+ months)

  • Focus: Response prediction, compensation benchmarks, conversion analytics
  • Benchmark: Eightfold AI ($97M ARR, $2.1B valuation)
  • Our Target: $50-100M+ ARR
  • Key differentiator: Unique dataset from real conversations + hiring outcomes

Each version generates unique data that becomes the moat for the next

Sources: Getlatka, TechCrunch, CNBC, Statista, Tracxn, Business Research Insights (2024-2025)

Market Size

Source: Business Research Insights, Recruitment Market Report 2025-2035

Why Now

AI can now conduct full conversations

Autonomous agents handle hundreds of dialogs simultaneously

LinkedIn remains the dominant hiring source

Companies cut recruiting spend

Speed became a core competitive advantage

PERFECT TIMING

Looking forward

Potential Outcomes

Best-Case

Becomes the global market leader with 18% of the market, $1B+ in yearly revenue

Realistic Success

Gets 1% of the local US market. Generates 20-30M+ in yearly revenue

Worst-Case

Rent 500 agents, 3 mln ARR

Remains the internal candidate sourcing and automation tools for partner's companies. Data hub for other businesses.


*LinkedIn analysis ~1.1–1.2M recruiters worldwide (North America: 460,000+, Asia: 430,000+, Europe: 150,000+, Africa: 26,000+, South America: 18,000+, Australia & New Zealand: 9,400+) for Talent Specialist, Staffing Recruiter, Talent Acquisition Recruiter, Technical Recruiter, Information Technology Recruiter, Sales Recruiter, Talent Acquisition Specialist, Talent Acquisition Consultant, Staffing Specialist, Staffing Consultant, and Talent Acquisition Executive.

Team

  • Participated in 330+ complex technology projects across industries
  • Built and scaled Eventyr into a multi-vertical software company, running high-volume recruiting internally - directly experienced the pain AI Recruiter solves
  • Proven ability to design, build, and scale complex operational software
  • Product + execution background: fast iteration, customer development, GTM, and enterprise delivery
  • 10+ years in building automation systems, operational platforms, and enterprise-grade tech solutions
  • PMI & ICAgile certified — strong process engineering background; designed and scaled workflows in tech ventures of different sizes

Backed by Sigma Software Group (2,000+ engineers + enterprise channel access)

Raise & Milestones


Round $300k for 15% equity


Use of funds (12 months)

~70% — product & engineering

(4–5 people)

~20% — GTM & sales

(founder‑led, pilots, minimal marketing)

~10% — infra, AI, LinkedIn accounts & ops

12‑month milestones

Month 3

v1.0 live, first external customers onboarded

Month 6

10 paying customers, growing MRR

Month 12

Implementation of 1.x soft roadmap features and user feedbacks, 25+ customers

P&L Forecast

Monthly Recurring Revenue (MRR) growth and monthly cash burn over the next 24 months, demonstrating our financial trajectory and runway.

Thank You

Thank you for your time and attention today. We appreciate you joining us to learn more about AI Recruiter.

Phone number

+351 935 844 929

BOOK A MEETING

APPENDIX 1 - ROADMAP

Built-in Account Infrastructure

Our unique operational structure provides a significant competitive advantage:

Competitors

  • Require your own accounts
  • Hire people to scale
  • Your accounts at risk
  • $1,500+/month per recruiter
  • $130+ USD premium subscription

AI Recruiter

  • Accounts included
  • Rent agents, not people
  • Zero risk to customer
  • $500/month per agent
  • Premium subscription included

PLATFORM RISK? COVERED.

Dedicated Account Operations

1+ years managing LinkedIn account health

Proprietary Anti-Ban Methodology

Advanced techniques to avoid Linkedin bans

Instant Replacement Pipeline

Quick recovery with ready-to-deploy backup

Aligned Incentives

This critical business unit is fully integrated into our ecosystem

Building this infrastructure from scratch typically takes 12-18 months. We already have it – competitors don't

Roadmap v1.x

from MVP to intelligent automation

v1.0 (0–3 months)

Full LinkedIn sourcing, outreach, conversations & screening (current MVP scope)

Vacancy scoring and automated profile/CV evaluation

V1.1-1.X (4-12 MONTHS)

Active sales processes

Development of features from soft roadmap

Implementation of customers feedbacks

Soft roadmap (4 - 12 months) to be edited based on business priorities

ATS integrations

  • Ignore candidates already in company pipeline
  • Prioritize familiar candidates
  • Push selected applicants directly into ATS pipelines

Interview process

  • Auto‑booking interviews with company reps
  • Automated HR/English/video screening (AI + live)
  • Partner tech specialists marketplace (pay $50 / charge $60, collect data)

Premium tier intelligence

  • Response prediction model (who to contact, how, when)
  • Profile‑based messaging style, comp preferences, timing
  • Anti‑burnout cross‑client protection (do not spam candidates who said "not looking")

Paid perks

  • Candidate reservation (temporarily hide candidate from others)
  • Additional monetization features (TBD)

Roadmap v2–v3

marketplace and data/insights

v2.0 — Company marketplace

Companies monetize candidates they did not hire

One click to list "rejected" candidates; other companies can buy access

Pricing tiers (e.g., $10 confirmed search + CV; $20 AI‑matched; $50 with interview/feedback), part of revenue goes back to original company

v2.1 — Recruiter marketplace

Freelance recruiters/agencies list candidates from their network

System anonymously matches them to open roles

Company pays fixed unlock fee; we take marketplace commission

v2.2 — Candidate company marketplace

(Mercor / Toptal / Upwork competitor)

Candidates register profiles, publish interview recordings & AI scores

Platform automatically matches candidates to employers by skills, salary and preferences

v3.0 — Data & insights business

Large‑scale dataset of conversations, CVs, interviews and outcomes

Response prediction, compensation benchmarks, conversion analytics

Monetization via insights API and marketplace data products

Go‑to‑market STEPS

ICP (initial): mid‑size IT companies (50–500 employees) with constant hiring needs

Step 1 — Dogfooding

keep using product for Eventyr hiring to refine flows & metrics

Step 2 — Design partners (current)

Pilots with Sigma Software and additional IT companies

Getting feedback from external users

Step 3 - Sales motion (Month 3-...)

founder‑led sales, simple pricing ($500 per agent/month, 2–3 agents minimum)

Step 4 - Expansion (version 2+)

recruiting agencies and freelance recruiters; later other verticals and geographies

Go-to-Market Strategy

Direct Outreach

  • LinkedIn outbound using our own infrastructure
  • Targeted campaigns to HR leaders and recruiters

Network & Referrals

  • Leverage existing IT community connections
  • Word-of-mouth from early adopters

Channel Partnerships

  • Staffing Agency Partnerships
  • Co-selling opportunities with agencies

HR Tech Integrations

  • Native integrations with popular ATS systems
  • Listed in partner marketplaces
  • API partnerships

IT Community Presence

  • Active participation in recruitment communities
  • Content marketing and thought leadership
  • Conference and event presence

Inbound Engine

  • SEO: "AI recruiter", "LinkedIn automation", "reduce hiring costs"
  • Paid ads targeting HR decision-makers

Economics: AI vs Human

AI AGENT Recruiter ($500):

  • ~800 candidate invites / month
  • ~400 accepted invites / month
  • ~200 engaged dialogues / month
  • Fully autonomous
  • Works 24/7

Human Recruiter ($1000–$3000+):

  • ~200 candidate invites / month*
  • ~100 accepted invites / month
  • ~50 engaged dialogs / month
  • Limited by time and capacity
  • Communication delays

*The State of LinkedIn Outreach: Q1 2025

Delivers Better work 12 – 24 more cost-efficient

APPENDIX 2 - Product Demo

See AI Recruiter in Action

Watch how our AI recruiter handles real candidate conversations from sourcing to screening.

Creating New Vacancy

Step-by-step process where users create new job vacancies with AI assistance and helper tools, designed to streamline the setup and optimize recruitment efforts.

Vacancy Setup

The comprehensive job description form with all mandatory fields including role requirements, responsibilities, qualifications, and company details that the AI uses to understand and represent the position accurately.

Vacancy Setup

The advanced targeting features where users can upload specific candidate lists for outreach and manage blacklists to avoid contacting certain profiles, giving precise control over who the AI recruiter contacts.


Massive Candidate Database

The internal database of over 500 million candidate profiles with advanced filtering options for comfortable selection, allowing to precisely target the right talent from the pool of professionals.

AI Communication Control Center

The detailed chat interface where possible to monitor and control all AI communications with candidates, review conversation history, and oversee the automated recruitment interactions in real-time.

Billing Dashboard

The settings and billing interface where users can scale their virtual recruiters with one click, manage subscriptions, and control their AI recruitment capacity based on business needs.


All Applicants in one place

Detailed candidate information