Every AI today reads words.
None of them understand what the words mean emotionally.
We're building the infrastructure layer that changes this.
IntroVert is an Emotional Intelligence API — a contextual inference engine that decodes
the emotional intent behind human language. We start with the richest, most emotionally
dense corpus available: intimate relationships. Then we license the layer to every AI product
that needs to understand humans, not just parse them.
The window is 18 months. OpenAI, Anthropic, and Google are all racing toward
emotional understanding — but none have the cultural context layer, the attachment-theory model,
or the anonymized relationship corpus we're building. First-mover with proprietary data wins.
Why now
The Gap in Every LLM Today
- "Fine, do whatever you want" — GPT reads compliance. We decode resentment.
- No existing model has attachment style, cultural communication norms, or emotional state inference
- 70% of relationship conflict stems from misread intent — not actual disagreement
- $150–300/therapy session. 8 billion people can't afford it. We can scale it.
What We Built
- 8-signal context engine: language, culture, gender, stage, age, attachment type, emotional state, perception style
- Decode + Encode modes — understand intent AND express it correctly
- Zero-knowledge architecture: no PII, GDPR-native, user trust by design
- 10 cultural localization layers — Eastern Europe, India, LatAm, East Asia and more
This is infrastructure, not an app. The B2C product (couples communication tool,
live at introvert.shegby.com) is our data flywheel — every anonymized
interaction enriches a proprietary emotional intent corpus that no dating app, LLM provider,
or therapy platform can replicate. Within 18 months we open the
Emotional Intelligence API for licensing. The moat is the data. The data
comes from real human emotional communication at scale. No one else is collecting this.
Market Signal
$5.8B
Couples apps TAM 2033
$44B
Emotional AI market 2032
Who Buys the API
🤝
HR Tech
Cross-cultural team communication, conflict de-escalation
🧠
Therapy Platforms
Emotional signal layer for AI-assisted therapy tools
💬
AI Assistants
Any LLM product that needs to understand emotion, not just text
🏥
Medical / Elderly
Early cognitive decline detection via speech pattern analysis
Defensibility
Proprietary corpus
Post-relationship emotional data. Dating apps collect pre-relationship. Nobody has what we're building.
Privacy architecture
Zero-knowledge by design. Users share more when they trust. Better data = better model = wider moat.
Cultural depth
10 cultural communication layers. Attachment theory + NLP + cultural norms. Not replicable with a prompt.
Self-hosted LLM path
Llama fine-tuned on our corpus = model no one else has. EU-hosted, GDPR-native. Plan funded by this round.
Team
Dmitrii Lunin
Serial entrepreneur, Web3 infrastructure background. Built and scaled distributed teams across EU. Deep network in Eastern European tech and VC ecosystem.
Vladimir Vasilev
Senior engineer, ex-DataArt (6,000+ engineers, global). Full-stack & AI integration. Built production-grade systems handling millions of requests.
Roadmap
May–Jun 2026
Live product + data infra
B2C demo live. Supabase corpus collection. 8-signal inference engine. Contribute-to-earn.
✓ Done
Jun–Aug 2026
Angel round + 1K users
Close $50–150K. Seed dataset (NVC + Reddit + GoEmotions). First 1,000 rated translations.
⟳ Now
Q3 2026
Mobile app + couples
iOS + Android. Psychographic onboarding. Pair profiles. Viral referral loop. EQ layer.
Upcoming
Q4 2026
Voice + self-hosted LLM
Whisper voice decoder. Pause/prosody analysis. Llama fine-tuning begins on corpus.
Upcoming
Q1–Q2 2027
EI API launch + Seed
Emotional Intelligence API private beta. 3 B2B partners. Seed round at data-backed valuation.
Upcoming
Use of Funds — $100K Angel Round
$35K
AI Infrastructure
EU GPU servers (Hetzner A10G). Self-hosted Llama. First fine-tuning cycle on corpus data.
$28K
Mobile MVP
iOS + Android (React Native). 2 engineers × 4 months. Anonymous onboarding + pair profiles.
$20K
Corpus & Data
Linguists for 5 cultures × 200 phrases. Reddit + NVC seed dataset. Quality labeling.
$17K
Legal + Growth
EU entity registration. GDPR counsel. IP protection. First 1,000 users acquisition.
We are raising a pre-seed / angel round to fund 12 months of
corpus building, model infrastructure, and mobile launch. We are seeking a
lead angel who understands that the next frontier in AI is not bigger models —
it is models that understand human emotion. SAFE instrument, standard terms.
Capital and conviction matter equally.
$50–150K
Angel / Pre-Seed Round
