Model the Future — Venturely Urban's Series A

A four-round, advanced entrepreneurship & digital-sustainable strategy simulation set inside Venturely Urban, Lda., an 18-month-old Lisbon smart-mobility startup (28 employees, €1.4M ARR, €220K/month burn, ~9 months runway). A lead investor will anchor a €6M Series A, but only if the team presents — within one 8-week fundraising cycle — a coherent business model where digital and sustainable value reinforce each other, a disciplined generative-AI plan, and a defensible smart-city ecosystem position before a global mobility super-app takes it. Playing the venture lead, you (1) diagnose why the consumer-app model burns cash — a blended CAC of €34 against an LTV of €41 is a 1.2x ratio, far below the 3.0x investors expect — and find where sustainable value (emissions cut, city outcomes) is given away instead of priced; (2) choose and design the model — Consumer app (big TAM, weak economics & moat), B2B city SaaS/data (smaller TAM, strong margins & retention), Ecosystem/platform (network effects, needs scale), or a sequenced hybrid — and reset pricing to reach ≥3.0x LTV/CAC while making digital and sustainable value compound (per René Bohnsack's digital-and-sustainable business-model-innovation work); (3) decide whether and where to deploy generative AI against its ~€45K/month cost — consumer trip-planning, operations automating municipal reporting cities pay for, build-vs-buy, or not-now — as a value driver, not a slogan; and (4) choose a defensible ecosystem position (data partner to cities, integration hub for transit/charging operators, or consumer aggregator), defend it against the incoming super-app, and pitch the €6M raise as one coherent story. The math rewards a focused model with priced sustainability and ≥3.0x unit economics, AI placed on the task customers pay for, a defensible wedge with a path to scale, and an integrated pitch — and punishes the five classic errors: growth over economics, sustainability as cost/PR, AI everywhere, refusing to choose among the three models, and an incoherent raise. Final KPIs track Runway (months), LTV/CAC ratio, Investor Confidence, and Ecosystem Moat.