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:
1
2
3
4
5
6
7
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)

Pilots being launched with:
  • Sigma Software (parent company)
  • One additional external IT company
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