Menteia · Holding · October 2026 · Confidential
# Consolidated business plan **Menteia** — An applied artificial intelligence product studio for industries in Mexico and LatAm.
## 1. Thesis Generative AI makes it profitable to automate specialized work that used to require experts: serving a telco's customers, verifying identities, quoting an aerospace part, guiding a patient. Mid-sized companies in Mexico lack the teams to build this. Menteia builds it once as a platform and packages it by industry. ## 2. Shared platform - **Identity:** proprietary KYC engine (INE voter ID, RENAPO population registry, biometrics, anti-fraud) used by KYC, Vamo and Doble D. - **Conversational agents:** WhatsApp, voice and email with human handoff (SAVANT AI, Vamo, Seguro Sin Vueltas, Sommelier IA). - **Guardrails:** zero figures from the LLM, human gates, closed catalogs (Copiloto Aero, Seguro Sin Vueltas, Hedge). - **Decision agents with deterministic risk:** Doble D and Menteia Hedge. - **Infrastructure and operations:** shared deployment, monitoring, backups and compliance. ## 3. Portfolio and priorities | Product | Market (SAM) | Stage | Priority | | --- | --- | --- | --- | | Doble D | US$9 M | Private, invite-only pilot | Medium: depends on regulatory license | | SAVANT AI | US$10 M | Product in production with paying customers | High: recurring revenue | | Menteia KYC | US$37 M | Product in production with a client paying per use | High: revenue and shared platform | | Vamo | US$4 M | Pilot with a top-tier brand | High: pilot with a global brand | | Menteia Hedge | US$6 M | MVP in production (paper trading) | Low: validate before scaling | | Seguro Sin Vueltas | US$11.6 M | Pilot in production, no revenue yet | Medium: pre-revenue, large market | | Sommelier IA | US$1.2 M | Deployment for one showcase customer | Low: replicable template | | Copiloto Aero | US$5.8 M | Product in production with one anchor customer | High: large ticket and anchor customer | | PlaneTech Air Express | US$60 M | Operating with an anchor customer | High: immediate transactional revenue | | RosettaDMS | US$4 M | Demo stage: product defined and demo you can click through, no pilot or revenue | Medium: demo ready, no pilot yet | **Capital allocation criterion:** each quarter the board reviews KPIs per product; those that hit milestones get more resources, those that don't are paused or folded in as a module of another product. ## 4. Business model All products are B2B or B2B2C with recurring revenue (subscription, usage or commission). See the details in each product's folder. ## 5. Consolidated projection (24 months) | Quarter | Revenue | Expenses (with synergies) | Cumulative cash used | | --- | --- | --- | --- | | Q1 | US$24,874 | US$396,016 | US$371,142 | | Q2 | US$72,692 | US$483,212 | US$781,663 | | Q3 | US$131,478 | US$559,047 | US$1,209,232 | | Q4 | US$225,992 | US$576,315 | US$1,559,556 | | Q5 | US$314,250 | US$582,883 | US$1,828,189 | | Q6 | US$443,484 | US$585,109 | US$1,969,814 | | Q7 | US$583,346 | US$587,335 | US$1,973,803 | | Q8 | US$784,833 | US$589,562 | US$1,778,531 | - Total 24-month spend: **US$4,359,480** (sum of products minus 15% in synergies, plus holding G&A of US$3,000/month). - Cumulative revenue: **US$2,580,949**. - MRR at month 24: **US$288,359**. Consolidated breakeven: month 20. ## 6. Holding risks | Risk | Mitigation | | --- | --- | | Loss of focus across 11 products | Capital allocated by quarterly milestones; pause those that miss them | | Revenue concentration in one customer group (INXEL) | Diversification target: no customer > 30% of revenue by month 12 | | Regulatory risk in fintech (Doble D, Hedge) | Release of funds conditional on a legal opinion and regulatory status | | Dependence on AI vendors (OpenAI, ElevenLabs, Twilio) | Multi-vendor abstraction layer in the platform | | Key people | Hire leaders per product; founder vesting |