# Vaayu Financial Model Automated carbon accounting SaaS for retailers - tracks and cuts carbon in real-time at the transaction level. - Canonical: https://finamodel.com/startups/vaayu - Excel download: https://finamodel.com/startup-models/vaayu.xlsx - Category: Climate/Energy - Model type: SaaS ARR / Valuation - Funding round: Seed - Funding: $11.5M - Founded: 2022 - Geography: Europe-primary (customers: Missoma, Organic Basics, Armedangels - all European brands); North America, Europe, Asia mentioned as target consumer markets. - Customer: B2B ## About the company Vaayu provides retail-focused carbon software that calculates emissions for individual transactions and across modules such as delivery, packaging, operations, products, logistics, and travel. Its dashboard identifies reduction actions and connects retailers to third-party offset or removal providers for residual emissions. The company targets retail brands with a modular SaaS proposition; the deck shows customers including Missoma, Organic Basics, and Armedangels but discloses no ARR or pricing. Consumer demand for sustainable products is the market backdrop, while the company targets one gigaton of carbon reduction by 2030. The model should forecast retailer cohorts, ACV, modules per customer, churn, and expansion as brands adopt the full suite. Add a distinct schedule for offset or removal brokerage GMV and take rate, while product, customer-success, sales, and data costs feed a SaaS P&L and runway plan. ## What's included - 5-year monthly revenue build with stage-appropriate growth assumptions - Full P&L, headcount plan, and operating-expense schedule - Cash-flow statement, runway, and burn-rate tracking - Valuation via exit multiple with a DCF cross-check - Returns analysis with MOIC and IRR - Unit economics including CAC, LTV, payback, and cohort retention ## Product & value proposition - Automated carbon footprint calculation per retail transaction. - Integrates with point-of-sale systems; retailers select modules: last-mile delivery, packaging, operations, website, product, inbound logistics, business travel & commute. - Real-time dashboard showing emissions by category (Scopes-style breakdown) with an area chart over time. - Identifies carbon reduction measures; connects to third-party offset/removal providers for unavoidable emissions. - Positioned as "world's first automated carbon software" for retail. ## Market - No explicit TAM/SAM/SOM figures in deck. - Demand-side signals cited: - 72% of 6,000 surveyed consumers (North America, Europe, Asia) buy more environmentally friendly products vs. five years ago; 81% expect to buy more over next five years. - >50% of CPG growth 2015–2019 came from products marketed as sustainable. - Bill Gates: climate tech will produce 8–10 Teslas, a Google, an Amazon, and a Microsoft. - Impact target: 1 gigaton of carbon reduced by 2030; equivalent to Germany + France annual emissions combined. ## Revenue model - Not explicitly stated in deck. - Product structure implies B2B SaaS subscription: modular platform sold to retail brands; each retailer selects relevant emissions modules. Comparable carbon SaaS peers (Watershed, Normative, Plan A) price on subscription tiers by emissions scope / employee count / revenue band. - Offsetting/removal brokerage could generate a take-rate or referral fee, given explicit mention of connecting to third-party offset providers. ## Traction & metrics - Named live customers: Missoma, Organic Basics, Armedangels - all European fashion/apparel brands. - Dashboard screenshot dated Aug–Dec 2021 with sample KPIs: 321.23 kg CO₂e, 7.99 kg CO₂e, 50.00 t CO₂e, sustainability score 50/100 - these appear to be demo/illustrative values, not company-level traction metrics. - No ARR, MRR, customer count, growth rate, or churn figures in deck. ## Competition / moat - Moat claimed: deep retail domain expertise (team backgrounds span retail, tech, climate science); real-time transaction-level granularity vs. annual manual calculations. - No competitive landscape slide. - Competitors not named. ## Team & funding ask / use of funds - Co-Founder & CEO: Namrata Sandhu. - Co-Founder & CTO: Luca Schmid. - Team prior experience: Babbel, Ted Baker, Bally, Sennder, Visual Meta, Marie Claire, Mercedes-Benz.io, Green Delta, Carbon Instead, Propeller, People Tree, Truly Conscious Clothing, TERI, Michael Kors. ## Recommended financial model - **Archetype + why:** B2B SaaS ARR model. Revenue is recurring subscription tied to retailer accounts; modular add-ons map naturally to seat/module-based expansion. Carbon offset brokerage layered as a secondary revenue line. - **Forecast horizon & granularity:** 3 years monthly (Years 1–2) then annual (Year 3); monthly granularity needed to model sales ramp and churn. - **Key drivers & assumptions:** - New logos signed per month - Average contract value (ACV) per retailer - Modules per customer (upsell rate) - Gross logo churn (annual) - Net revenue retention - Offset/removal GMV take-rate - Headcount plan - sales, CS, engineering - Gross margin - CAC - LTV - **Scenarios (Base / Bull / Bear - which variables flex):** - Bear: slow logo acquisition (1/month), high churn (20%), no offset revenue. - Base: 2–3 logos/month ramp, 12% churn, offset take-rate 10%. - Bull: 4+ logos/month, 8% churn, upsell to full module suite, offset GMV scales with customer base. - **Required sheets / outputs:** 1. Assumptions - all drivers in one place with scenario toggle. 2. Revenue - ARR waterfall (new, expansion, churn), MRR bridge, offset revenue. 3. P&L - gross profit, S&M, R&D, G&A, EBITDA. 4. Headcount - by function, linked to opex. 5. Cash & Runway - burn rate, cash balance, months of runway. 6. Unit Economics - CAC, LTV, LTV:CAC, payback period. 7. Dashboard - KPI summary, ARR chart, burn chart. ## Frequently asked questions ### Is the Vaayu financial model free? Yes. The Vaayu model is a free Excel download with live formulas. ### Can I change the assumptions? Yes. The workbook is editable and its live formulas recalculate when assumptions change.