The Belonging
Intelligence Layer.
AI-native infrastructure that measures, builds, and proves belonging inside enterprises, universities, communities, and cities.
Documented. Quantified.
Completely unmeasured inside organizations.
Engagement platforms hand HR a flat number with no operational mechanism. Connection tools create ad-hoc introductions with zero outcome tracking. Nobody orchestrates belonging and proves the outcome. That is the whole company.
Three structural windows opened at once.
All three are closing rapidly.
The Regulatory Window
- EU AI Act Art. 5(1)(f) has prohibited workplace emotion inference from biometric data since Feb 2025.
- Fines up to €35M or 7% of global turnover.
- Competitors' sentiment scoring is now a liability. Ours is a compliant moat.
The Capital Window
- AI captured 41.7% of all seed capital in 2025 at a 38%+ valuation premium (Carta).
- Gulf sovereign programs subsidize AI entry — Hub71, DIFC, NTDP.
- Capital flows to large AI rounds or tiny ones. Nothing sits in the middle.
The Model Window
- Open-weight bases (Llama, Qwen, Mistral, Kimi) make a vertical model buildable on a startup budget.
- A 70B LoRA fine-tune costs ~$180 of GPU time on standard clouds.
- Whoever owns the belonging graph first owns the category.
Beyond features. A company-wide system layer.
Four operating primitives, one proprietary foundation model.
AI forms intentional small groups from values, roles, goals, and life stage — built on Irving's stable-roommates algorithm, in production.
Structured weekly micro-interactions. Real belonging is built through continuous repetition — not ad-hoc introductions.
Aggregate analytics for HR & student affairs: participation, ritual completion, retention, opt-in WHO-5 outcomes. Zero individual scoring.
Native deployment into Slack, Teams, Google Workspace, Workday, BambooHR, Rippling, and modern university information systems.
Five companions.
One training loop.
What users experience as social companions, our model treats as high-value labeled behavioral training signal.
Private 1:1 support, 60-second mental resets.
Aggregates organizational health only. No individual leak.
Not a slide-deck company.
The tech ships.
Live in the Apple App Store. Consumer gateway for initial tribe formation and systematic ritual testing.
Production-ready enterprise & university dashboard, admin console, and active cohort management tools.
Deterministic, explainable matching built around Irving's stable-roommates algorithm.
Streaming API distribution across Slack, Telegram, and Discord endpoints.
Pre-revenue. Zero paid corporate contracts signed. Everything else is built.
- Complete working product ecosystem.
- Live API platform in market.
- International corporate structure in flight with Gunderson Dettmer Singapore.
- Active Gulf go-to-market team on the ground.
The objective of this round is to transition a fully functional product into a scaling business venture.
Sized bottom-up.
Beachhead in Dubai.
Distributed teams, hybrid offices, global mobility — where disengagement quietly compounds.
International cohorts where belonging directly predicts retention and completion.
Base case vs. Bull case
We underwrite the base case strictly. If you fund us, that's what you're underwriting. The bull case is what we chase actively.
Model the round
in real time.
Move the assumptions. Every number below recalculates from our published pricing and pilot-conversion bands — no hidden fudge factors.
Illustrative model built from the published pricing tiers and stated pilot-conversion band. Not a forecast or a guarantee of returns.
Software is not a moat.
The graph is.
The compounding value cycle of our proprietary vertical organizational graph and benchmarking pipeline.
Rent intelligence from frontier models. Zero data assets yet. Fast shipping, no durable defense.
Instrument every workflow and touchpoint inside clients. First behavioral user signals captured.
Build baseline belonging graph and index proprietary benchmarks. Hard ground truth emerges.
Train domain models on your network graph assets. Superior contextual recommendation.
Own the vertical model and the core enterprise intelligence layer. Deeply compounding moat.
Everyone measures sentiment or introduces users. Nobody proves outcomes.
| Vendor class | Measures | Connects | Orchestrates | Proves | Data moat |
|---|---|---|---|---|---|
| Culture Amp / Glint | Static surveys | — | — | — | — |
| Donut / 10K Coffees | — | Ad-hoc | — | — | — |
| Mainstay (chat nudges) | — | — | Nudges | — | — |
| Generic LLM copilots | — | — | — | — | — |
| Hytribe | Continuous | Algorithmic | Systematic | Quantified | Compounding |
How we win over every CHRO, chancellor, and compliance officer.
- ×Individual sentiment trackingNo individual emotional scoring is ever computed, structured, or made accessible.
- ×Private chats & workflowsNo single employee/student's private companion logs, check-ins, or interaction records.
- ×Direct attributionWho spoke to whom, individual sentiment trends, or granular peer matching data.
- Aggregate network healthSystem-wide participation, ritual compliance velocity, cohort retention rates.
- WHO-5 baseline indexesOpt-in, aggregated wellness indices scored purely at the macro-cohort level.
- Minimum cohort floorSystem-enforced n ≥ 5 before any metrics calculate or render.
Competitors build invasive emotion surveillance carrying regulatory liability. Hytribe builds compliant cohort health models.
Three phases. One deliberate wedge.
Founder-led close of 3–5 anchor pilots. Hub71 + DIFC to stretch runway. Complete Singapore consolidation flip.
Establish SG treasury, activate HK pipeline. Riyadh launch into the fastest-growing venture ecosystem on earth. Transit founder → AE.
Raise institutional $20–30M seed from a position of execution strength. Retain $3–4M treasury buffer to de-risk milestone transitions.
Full $7M strategy split.
Milestone-gated between Tranche 1 ($1M · M0–5) and Tranche 2 ($6M · M5/6–18).
12-month proof.
No down rounds.
What must explicitly be achieved to vindicate our $46.7M valuation cap at seed entry. If we miss, we extend runway on reserve capital — never a down round.
Design. Engineering. Regional execution.
Design background. Owns fundraising, pricing, positioning, senior hires, category narrative. Personally closes the initial 3–5 reference accounts.
Quantitative engineering background based in NY/NJ. Owns global engineering stack, matching engine, graph schema, and the Zoe program.
Based in Hong Kong. Directly drives APAC corporate pipeline, enterprise opportunities, and university relationships.
The pre-seed allocation.
We're asking you to underwrite capital discipline and clear operational goals: paid pilot validation, ARR run-rates, retention, and structural network graph assets.
Belonging touchpoints affect every organization globally. If the Belonging Intelligence Layer becomes to organizational infrastructure what communication is to Slack, the long-term scale of this platform is civilization-scale.