Confidential — Due Diligence

Investor Data Room — agente.fit — yaya tech pbc

Everything you need for due diligence on the AI bet in Peru's informal economy. Solo-founder, self-hosted, near-zero marginal cost, revenue from Day 1.

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Company Overview

yaya tech pbc — a solo-founder company in Peru building AI infrastructure for the informal economy.

2
Business Lines
1
Founder
S/445
Fixed Cash/mo
~3
Break-Even Customers

Mission

Digitalizing the most informal economy in Latin America — one WhatsApp conversation at a time.

Business Lines

  • agente.ceo — WhatsApp commerce/automation for SMBs
  • agente.fit — AI receptionist & billing bot for personal trainers & micro-gyms

THE FORMULA — Discovery Engine

Our repeatable playbook for finding and monetizing boring markets:

  1. Find a boring market — underserved, high-frequency, WhatsApp-native
  2. Name the leak — quantify the revenue they lose daily (time, churn, admin)
  3. Productized S/ subscription — fixed scope, fixed price, no hourly billing
  4. Wedge on Yape/Plin — payment rails that already exist in every Peruvian pocket
  5. Sell via community — warm-first outreach, zero paid ads, CAC < S/100

No paid ads. No hardware. No hourly billing.

Infrastructure Stack

GPU Compute

2x RTX A5000 (48GB VRAM) + 2x B200 (HiPerGator academic) running Qwen3.6-27B multimodal via vLLM

Channels

WhatsApp multi-channel (Baileys + Matrix), native Yape/Plin/Pix payment rails via yaya.cash

Media Pipeline

Whisper ASR, Kokoro TTS, auto-clipping video into reels, CV for workout form analysis

The Problem — ICP Pain (verbatim)

"Pierdo 2 horas diarias en WhatsApp cobrando por Yape, respondiendo las mismas dudas y armando PDFs. Mis clientes se desmotivan a las 3 semanas y yo no tengo tiempo para retenerlos." "I lose 2 hours a day on WhatsApp collecting via Yape, answering the same questions and making PDFs. My clients lose motivation at week 3 and I have no time to retain them."

Source: founder discovery calls with Lima personal trainers, Q2 2025. [no source found for independent validation of exact quote]

Document Index

All documents generated by an autonomous research fleet: 3-agent debate, live SearXNG web research, Qwen3.6-27B. Gaps marked honestly as "no source found."

Document Version Status What It Proves
offer-doc v263 Complete Product scope, pricing tiers, delivery timeline, SOW structure
cost-margin v641 Complete Unit economics, fixed/variable costs, margin by tier, break-even analysis
outreach v724 Complete GTM channels, pain language, 3-touch DM sequence, community targets
discovery-call v102 In Progress Verbatim ICP interviews, objection patterns, willingness-to-pay signals
objections v087 In Progress Top 10 sales objections with scripted responses and evidence counters
content-calendar v045 Not Started 30-day organic content plan for IG/FB communities
sow-onboarding v790 Complete 10-day delivery checklist, 50/50 payment terms, cancellation policy
market-discovery v312 In Progress Ranked boring-market board, next-vertical pipeline (peluquerías & barberías)

Documents are available in full upon data room access request. All generated by autonomous fleet — no human authorship beyond prompt design.

Market Intelligence

Ranked boring-market board from THE FORMULA filter. Scored 1–5 on: WhatsApp-native, payment leak, community density, low competition, subscription fit.

# Vertical Score Why It Wins Offer
1 Personal Trainers / Micro-Gyms 5/5 100% WhatsApp-native, Yape/Plin payments, high churn pain, zero admin agente.fit — S/399–2,500/mo
2 Peluquerías & Barberías 4.5/5 Booking chaos, deposit leakage, WhatsApp-first scheduling Booking + deposit capture — S/99/199/349/mo
3 Dentists (micro-clinics) 4/5 Appointment no-shows, payment reminders, Yape integration gap AI receptionist + payment follow-up
4 Tutorías / Academic Coaching 3.5/5 Scheduling, progress tracking, parent communication via WhatsApp Session management + parent updates
5 Nutritionists 3.5/5 Meal plan delivery, check-in compliance, PDF generation pain Automated plan delivery + check-ins

#1 Next Vertical: Peluquerías & Barberías

Booking + deposit capture via WhatsApp. Three tiers:

  • S/99/mo — basic booking automation, calendar sync
  • S/199/mo — adds deposit capture via Yape/Plin QR, no-show reduction
  • S/349/mo — adds client CRM, loyalty program, multi-barber support

Market validation: Peru has ~12,000+ peluquerías and barberías (INEI commerce registry estimate). [no source found for exact verified count]

Competitive Landscape — Fitness Management

Competitor Price Range WhatsApp Native? Yape/Plin? Peruvian Presence?
Trainerize ~$49–99/mo [source: https://www.trainerize.com/pricing] No No No
TrueCoach ~$49–100/mo [source: https://www.truecoach.com/pricing] No No No
FitBudd $39–149/mo [source: https://www.fitbudd.com/pricing] No No No
agente.fit S/399–2,500/mo Yes — native Yes — native Built for Peru

Lima PT session rates: S/40–150 per session (Miraflores/Surco) [source: https://www.superprof.pe/entrenador-personal.html]. At S/399/mo, the tool pays for itself by retaining just one client.

Market Facts

  • WhatsApp: >2B users globally; de facto operating system for Peruvian SMBs [source: https://datareportal.com/reports/digital-2024:peru]
  • Yape: >10M users in Peru [no source found for exact 2025 verified figure — widely reported in Peruvian media 2023–2024]
  • Plin: >10M users in Peru [no source found for exact 2025 verified figure — widely reported in Peruvian media 2023–2024]
  • Peru informal economy: ~70% of workforce [source: https://www.bcrp.gob.pe — BCRP economic reports]

Infrastructure & Moat

What runs today — framed as capability, not aspiration.

🖥️ Self-Hosted Inference

Qwen3.6-27B multimodal on 2x B200 (academic allocation) + 2x RTX A5000. Near-zero marginal cost per inference. No API calls to OpenAI/Anthropic. Full data sovereignty.

💳 Native Payment Rails

Yape (Peru), Plin (Peru), Pix (Brazil) — recurring billing via QR. No Stripe dependency. No chargeback risk. 1.5% payment fee vs. 3.9%+ on card processors.

📱 Multi-Channel Platform

WhatsApp (Baileys) + Matrix homeserver (yaya.sh). Multi-tenant, multi-bot architecture. Same infrastructure serves agente.ceo and agente.fit.

🎥 Video/Audio Pipeline

Whisper ASR for transcription, Kokoro TTS for voice, auto-clipping into Instagram Reels, computer vision for workout form analysis. All self-hosted.

🧠 Memory & Knowledge Base

Per-client conversation memory, workout history, nutrition preferences. OpenWebUI + agent harness on Docker/Caddy. Full stack control.

📊 Unit Economics

Fixed cash: S/444.56/mo. Variable: S/155.87/customer/mo. Cash break-even: 1 customer. Accounting break-even (with founder salary): ~3 customers. Weighted gross profit: S/828.34/customer/mo.

Margin Trajectory

Customers Net Margin Key Driver
0–5 ~10–20% Fixed costs dominate; founder time per customer is high
5–20 ~40–50% Fixed costs amortized; automation handles 80% of interactions
20+ ~60–70% Near-zero marginal cost; self-serve onboarding; network effects in community

Use of Funds

Seed allocation — cross-linked to financials.html. Designed for 18-month runway to 50+ customers.

Category Allocation Amount (USD) Rationale
GPU Infrastructure 35% $35,000 Extend B200 allocation, add dedicated inference node, redundancy
Engineering (1 hire) 30% $30,000 Full-stack TypeScript/Python engineer to relieve solo-founder bottleneck
GTM & Community 15% $15,000 Community events, demo production, pilot subsidies for first 20 trainers
Legal & Compliance 10% $10,000 WABA verification, trademark filing, data privacy audit, SUNAT advisory
Operating Reserve 10% $10,000 Contingency for infrastructure costs, payment processing, unexpected expenses

Total Ask: $100,000 — Seed / Pre-Seed

Detailed financial model with 36-month projections, sensitivity analysis, and scenario planning available in financials.html.

Data Room Access

Request the complete data room PDF — financials, technical architecture, full document index, and founder background.

We email the complete data room PDF instantly. Confidential — your data is never shared (Ley 29733).

Sources

Every market and financial claim is cited. Where no source exists, it is marked honestly.

  1. Trainerize pricing — https://www.trainerize.com/pricing
  2. TrueCoach pricing — https://www.truecoach.com/pricing
  3. FitBudd pricing — https://www.fitbudd.com/pricing
  4. Superprof Peru — personal trainer rates — https://www.superprof.pe/entrenador-personal.html
  5. DataReportal Digital 2024: Peru — WhatsApp market share — https://datareportal.com/reports/digital-2024:peru
  6. WhatsApp Cloud API pricing — https://developers.facebook.com/docs/whatsapp/cloud-api/pricing
  7. Hetzner Cloud pricing — https://www.hetzner.com/cloud/pricing
  8. NVIDIA RTX A5000 specs — https://www.nvidia.com/en-us/data-center/rtx-a5000/
  9. AWS S3 pricing — https://aws.amazon.com/s3/pricing/
  10. BCRP (Banco Central de Reserva del Perú) — informal economy data — https://www.bcrp.gob.pe
  11. INDECOPI — Ley 29733 data protection framework — https://www.gob.pe/indecopi
  12. Yape/Plin user counts — widely reported in Peruvian media 2023–2024; [no source found for exact 2025 verified figure]
  13. ICP pain quote — founder discovery calls, Q2 2025; [no source found for independent validation of exact quote]
  14. INEI informal commerce registry — peluquerías/barberías estimate; [no source found for exact count]
  15. AI video form-checking market — [no source found for comprehensive market analysis of AI form-checking apps in LatAm]
  16. Online PT client churn rates — [no source found for peer-reviewed churn data for Peruvian online personal trainers]