Investment Deck · 2026

One avatar.
Two $40B markets.
The moment — is now.

AvatarMatch is building the psychometric identity infrastructure that doesn't yet exist. A living AI profile of a person — for personal relationships, career, and agents in third-party apps.

$80B+
Total Market
10–15×
AI Cost Drop
72%
Swipe Fatigue
4–10:1
Projected LTV:CAC
01 · market opportunity

Two massive markets.
Neither has solved the compatibility problem.

AvatarMatch is the first to build the infrastructure for this. One psychometric profile captures both markets simultaneously.

$34.4B
HR Tech & Recruitment

+8.2% annually → $47.2B by 2028. AI in recruitment growing at 24.8% annually.

$9.2B
Online Dating

+7.4% annually → $12.5B by 2028. The market demands quality, not quantity of matches.

Total TAM
$43.6B
Agent Layer ($5.1B → $17.6B) — the technology infrastructure that serves both markets from within. Not a third market, but a multiplier: the agent automates matching in Dating and hiring in HR through the same avatar.
Tinder · LinkedIn · HR platforms
Matches based on photos and 3 lines
Compatibility not tested before contact
5+ accounts with no unified profile
No ML compatibility data
No agent layer in apps
AvatarMatch
7 groups of psychological tests — scientific foundation
Compatibility simulation before the first word
One avatar for personal life and career
ML dataset as a growing competitive barrier
Agent in Telegram, Slack, email, calendar
02 · why now

Three trends converged.
The window is closing.

This happens once a decade. Psychometrics proven over 50 years — only now has AI made it profitable.

Three trends → one window of opportunity
Regulatory tailwind
The EU AI Act requires explainable AI in hiring decisions. AvatarMatch with documented psychometric algorithms has a structural advantage over competitors' "black boxes".
03 · solution

Your avatar works
while you live.

A living psychometric profile built from 4 layers. One profile — for all scenarios. Compatibility is simulated before first contact.

Built from 4 data layers
7
Groups of psychological tests
HEXACO · Big5 · MBTI · DISC
User data
Bio · work · values
5
Social networks
Instagram · TikTok · LinkedIn · FB
Platform behavior
Simulations · patterns
Avatar is applied
B2C Dating
Personal matching
1Avatar evaluates compatibility anonymously
2AI simulates a conversation between two avatars
3Both approve → identity is revealed
0 hours of filtering
Events
Events map
1User marks interest in an event
2Avatar ranks participants by compatibility
3Meeting is coordinated at the event
Conversion 2–3× higher
AI Agents
Agent in apps
1Reads Telegram / Slack / Gmail
2Responds in user's style
3Plans meetings and schedules
47 screenings / day · 0 effort
B2B HR
Hiring & teams
1HR describes role → avatars are ranked
2AI runs 8 types of simulations
3Team votes → candidate receives invite
$7 176 LTV · 15× higher than B2C
04 · four use cases

Two markets.
Four use cases.

HR ($34B) and Dating ($9B). One avatar serves everything with no new CAC.

B2C · Core
Personal matching

12 interaction types: dating, friendship, networking, event companion. Simulation → virtual lobby → identity reveal upon mutual consent.

Events · Unique
Events map

Matching through shared events. "We're both going" — a built-in reason without fear. A unique feature with no equivalent among competitors.

Agents · Roadmap
Agent layer

Avatar in Telegram, Slack, email, calendar on behalf of the user. Fundamentally different from ChatGPT — it has a real person's profile.

B2B · MVP ready
Projects & teams

Hiring, co-founder matching through AI simulations. MVP in production since January 2026. 6 stages: search → 8 simulation types → 6 metrics → consensus.

05 · financial logic

Unit economics
that work.

Unit economics
MetricB2CB2B
Acquisition cost$25–60$200–400
Revenue / mo~$34~$129
Customer lifetime14–16 mo20–24 mo
LTV~$475~$2 580
LTV : CAC~4–7:1~6–10:1
Gross margin~65%~72%
Pricing plans
Free tier
Free
$0/mo
1 avatar · 10 simulations
★ Popular
Starter
$29/mo
10 avatars · 100 simulations
Pro
Pro
$99/mo
100 avatars · API
Enterprise
Enterprise
$499/mo
Unlimited · SSO
3 scenarios — 12 months
MetricConservative★ BaseAggressive
Paying users1205002 000
Corporate clients1060250
Annual revenue (ARR)$50K$330K$1.8M
Monthly burn$30–35K$45–55K$70–85K
Break-evenMo. 22–24Mo. 14–16Mo. 10–12
06 · competitive barriers

Five barriers,
that grow every day.

With every new user, competitors fall further behind. Not features — structural advantages.

1
Psychometric asset — 2–3 years to replicate

A profile database with simulation history cannot be copied without the same users. A competitor would need 2–3 years and tens of millions of dollars.

2
Dual network effect — B2C strengthens B2B

More personal avatars → better Talent Bank → more attractive to HR → more corporate subscriptions.

3
ML simulation data — growing advantage

A compatibility dataset cannot be created without a real base. The more simulations — the more accurate the matching.

4
High switching cost

1 hour on avatar + simulation history = leaving is costly. Unlike Tinder — where a profile takes 5 minutes.

5
Unique position — dual-mode identity

One avatar for personal life and career. Neither Tinder, nor LinkedIn, nor ChatGPT occupies this position today.

07 · honest conversation about risks

Risks are real.
Mitigation is too.

High
Low avatar completion rate (<30%)
Gamification · post-test insight · progress bar · incremental unlock
High
Privacy scandal (social media)
Only analytical insights stored — raw data not retained · GDPR · SOC 2 Type I
High
Distrust of AI personality assessment
Transparent algorithm · academic publications · advisory output
Medium
High acquisition cost
Invite-only launch + referral program → CAC $25–60
Medium
Long B2B sales cycle
Free 30-day pilot · PLG up to $99/mo without sales team
Low
Big Tech copying
Simulation database cannot be copied without the same users and history
Metric #1 for the first 90 days: avatar creation completion rate. If >40% — business model validated. This is exactly what the seed capital tests.
08 · team

The people behind it.

A technical founding team with 40+ combined years in IT infrastructure, development, and security. We build — not just plan.

Alexey Shkittin
Founder
Alexey Shkittin
Founder & CEO
29 years in business, 18 in IT & telecom. Built and scaled data centers, ISPs, hosting platforms, and satellite communication projects. MSU graduate.
Strategy Infrastructure Business Dev
LinkedIn
Alex Gordeev
Alex Gordeev
CTO & Lead Architect
13+ years in commercial development. Former Development Team Lead at Pixelfield (Prague). Full-stack: backend architecture, DevOps, scalable systems.
Architecture DevOps Backend
LinkedIn
Nikolay Labaznikov
Nikolay Labaznikov
Head of AI & ML Engineering
17 years in IT security and infrastructure. InfoSec expert, PKI specialist, certified DevSecOps. Builds and trains AI models for psychometric analysis and matching.
AI/ML Security Infrastructure
LinkedIn
40+
combined years in IT
3
countries
100%
technical founders
09 · investment ask

Seed Round:
$500K – $750K

Investment Ask · Seed Round 2026
$500 000 – $750 000
11–14 months runway · ARR >$300K → Series A · valuation $3–5M ARR
40%
Product & engineering
$200–300K · iOS/Android · B2B · Agents · ML
30%
Growth & marketing
$150–225K · Traffic · Content · B2B outreach
15%
Team
$75–112K · Growth Director + Backend
15%
Legal & compliance
$75–112K · GDPR · SOC 2 · Legal
Roadmap — development dynamics
Platform Foundation — Built
Core infrastructure is live. Entering Phase 1 — public launch.
Auth system (email-link)
Digital profile creation module
AI matching engine
Compatibility simulations
Conversations system
Projects & Teams — B2B MVP
Billing infrastructure
Usage analytics
i18n (EN / RU)
AI Assistants framework
Foundation
Mo. 1–3
Mo. 3–6
Mo. 6–12
Series A
WE ARE HERE
MO. 1–3
Active
Phase 1 — Launch
  • Public launchplatform ready
  • 500+ users
  • Avatar completion >40%wizard built
  • 50 payingbilling ready
ARR target
>$20K
MO. 3–6
Planned
Phase 2 — Growth
  • iOS / Android
  • Events map v1
  • Agent: Email + Calendarframework ready
  • 200 paying
ARR target
>$75K
MO. 6–12
Planned
Phase 3 — Scale
  • Telegram / Slack Agent
  • Talent Bank
  • 20 B2B clients
  • 500 paying
ARR target
>$300K
MO. 12–18
★ Series A
Phase 4 — Series A
  • SOC 2 · EU
  • ML v2
  • Series A prep
  • Valuation $3–5M ARR
ARR target
>$600K
ARR Growth Trajectory
$20K
Mo. 3
$75K
Mo. 6
$300K
Mo. 12
$600K
Series A
30× ARR growth in 18 months
Completed
In progress
Foundation ready
Planned