# Meniga Financial Model B2B SaaS platform selling data enrichment, personal finance management (PFM), open banking aggregation, and carbon insights to banks and other financial institutions. - Canonical: https://finamodel.com/startups/meniga - Excel download: https://finamodel.com/startup-models/meniga.xlsx - Category: InsurTech - Model type: SaaS ARR / Valuation - Funding round: Series D - Funding: $16M - Founded: 2023 - Geography: HQ Iceland; primary market EU (self-described "Priority Zero"); secondary MEA (5 customers + active pipeline); opportunistic LatAm and selective APAC. NA requires significant investment to build a foothold. - Customer: B2B ## About the company Meniga is a B2B SaaS platform for banks offering data enrichment, personal-finance management, open banking, and carbon insights. Its product modules help financial institutions turn transaction data into customer engagement and payments experiences. Revenue comes from multi-year licenses, sold directly and through partners. The company identified €7.7 million of potential upsell revenue across its existing base, reflecting a strategy to simplify legacy modules and expand product penetration. The model is enterprise SaaS ARR. Bank customers, license value, modules, upsell, renewals, churn, and partner-sourced deals drive revenue. Long sales cycles, delivery cost, product consolidation, and NRR determine the growth case. ## 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 Core purpose stated as "Enrichment powered Insights and Payments." Product stack as of deck date: **TODAY (legacy portfolio)** - Insight Factory (25% of revenue mix) - Carbon Insight (22%) - Agg. Hub / Open Banking aggregation (17%) - Smart Money Rules (15%) - Kafka infrastructure (15%) - Cashflow Assistant (6%) **TOMORROW (simplified portfolio)** - DATA layer: Consolidation, Standardisation, Enrichment, Aggregation/Open Finance - INSIGHTS: Core Finance Management, Savings features, Cashflow features, Sustainability/Carbon, other gaps - PAYMENTS (beta): Payment initiation on top of aggregation Target clients: banks (core), expanding to fintechs, insurance companies, and payment service providers. Partners include BCG, Tink, Tarabut Gateway, TrueLayer, Adyen, AXA, Minna Technologies, Accenture. Named bank clients: UniCredit, Groupe BPCE, Swedbank, CA Crédito Agrícola. ## Market **Global addressable market (Meniga's defined product categories, 2023 → 2028)** | Segment | 2023 | 2028 FC | CAGR | | -- | -- | -- | -- | | Enrichment | $144.6M | $217.0M | 8.3% | | Financial Management | $87.1M | $114.7M | 5.7% | | Insights | $115.4M | $192.8M | 11.5% | | Open Banking/Finance | $108.6M | $396.0M | 24.9% | | Carbon | $61.4M | $83.7M | 9.7% | | **TOTAL** | **$517.1M** | **$1,004.2M** | **~14.2%** | **Regional market (Banking vertical only, Meniga portfolio, 5-Y CAGR 2023–2028)** - NA: CAGR 15.8% (largest absolute 2028 size, ~€450M) - Europe: CAGR 12.2% (~€360M 2028) - APAC: CAGR 16.5% (small absolute base) - MEA: CAGR 17.5% (small absolute base) - LatAm: CAGR 13.0% (smallest absolute) **Expanded SAM including non-bank verticals (2023)** - Banks: $145M - Payment Service Providers: $71M (CAGR 14.5% to 2028) - Insurance Companies: $51.0M (CAGR 6.9% to 2028) - Fintechs: $16M (CAGR 21% to 2028) - Banking 2023 total: ~$500M; with verticals added: ~$640M (+30%) Note: deck does not state Meniga's current market share or ARR explicitly - SOM not disclosed. ## Revenue model - **Licence-based B2B SaaS**: multi-year licence agreements with banks and financial institutions. Pricing basis not broken out (likely per-end-user or per-module annual licence; no unit pricing in deck). - **Channels**: direct enterprise sales (hunters for new logos + farmers for upsell/account management); partner-assisted (BCG, Tink, Tarabut, TrueLayer, Accenture). - **Revenue composition (today)**: fragmented across 6 legacy modules. Tomorrow consolidates to 3 layers (Data, Insights, Payments), with Insights targeted at 68% of revenue mix. - **Upsell opportunity**: total potential revenue from selling unlicensed products to existing customer base = **€7.7M**. This is the upsell ceiling on the existing book, not total ARR. - **Currency**: mix of $ (market sizing) and € (company financials); company appears to operate primarily in EUR. ## Traction & metrics - **Upsell ceiling on existing base**: €7.7M potential incremental revenue if all existing clients bought all unlicensed products. - **Revenue growth forecast (relative to FY23 base)**: - Year 1: +32.7% over FY23 cash revenue - Year 2: +51.9% - Year 3: +85.0% - Year 4: +118% - Year 5: +153% - Overall CAGR: 15.7% - Growth attributed to: Upsell (existing + new EU banking clients), Strengthen core, New regions - **BHAG**: 1,000,000,000 users on Meniga platform by 2027 - **MEA customers**: 5 existing customers + healthy late-stage pipeline for MENA - **Named existing clients**: UniCredit, Groupe BPCE, Swedbank, CA Crédito Agrícola ## Competition / moat **Named competitors**: - Personetics (APAC, political issues in MEA) - MoneyThor (APAC-strong, cultural fit issues in MEA) - Tink (won't serve MEA; also a partner) - Strands (MEA presence, but more expensive than Meniga) **Meniga's stated moat**: - Established EU market share (priority market) - Robust MEA presence competitors avoid - Open FinTech integration platform positioning - Deep data enrichment capability as core differentiator - Strategic partner network (Velocity portfolio companies in Africa for C-level intros) **Portfolio simplification** as a competitive lever: reducing from 6 fragmented products to 3 clear layers to improve sales cycle and market-fit communication. ## Team & funding ask / use of funds **Team structure** (as redesigned): - CEO - Commerce (Pre-sales, Account Management/Farmers, New Business/Hunters) - Product (Product Management, Marketing & Comms) - Engineering (Development, QA, Infrastructure) - Delivery & Support (Technical Consulting, Customer Support - in-house + outsourced + partner in remote regions) - Finance, Legal, Compliance - HR **Org changes planned**: adding 1–2 new hubs (cost optimisation + geographic coverage for MEA/LatAm); key hires identified and recruitment to begin Q4 2023. **Funding ask**: capital required from shareholders to execute ReInvented strategy. Quantum NOT disclosed. Dependencies listed: Internal Alignment, Org Design, and "Capital & Shareholder Buy-in for new investments". Year 1 of growth plan starts "after new Meniga is set up and we have the needed capital (+/- 6 months from now)" - implying raise needed by ~Q1–Q2 2024. **Use of funds** (implied from execution timeline): - New hub setup (Q4 2023–Q2 2024) - Key hires (Q4 2023–Q3 2024) - Brand refresh - New product portfolio build - KPI & growth plan alignment - New FY2024 budget --- ## Recommended financial model **Archetype + why**: B2B SaaS ARR / licence-revenue model with an upsell layer. Meniga sells multi-year licences to banks; revenue is recurring and predictable once signed. The deck's growth framework maps cleanly to three ARR growth levers: upsell to existing base, strengthened core (new EU bank logos), and new regions. A standard SaaS ARR bridge model (beginning ARR + new ARR + expansion ARR − churn) best captures this. A 3-statement P&L is also warranted given the company is restructuring cost base and adding hubs. **Forecast horizon & granularity**: 5 years (Year 1–5 per deck framing), annual granularity. Year 1 starts ~6 months post-capital raise (H2 2024 effective start). Add a quarterly bridge for Year 1 given the restructuring/hiring timeline. **Key drivers & assumptions**: *Revenue* - FY23 base cash revenue: ~€5–8M range implied by upsell ceiling of €7.7M and B2B SaaS norms for a company at this stage; **must be confirmed** - single most critical data gap. - Year 1–5 revenue growth vs. FY23 base: +32.7% / +51.9% / +85.0% / +118% / +153% - Implied CAGR on incremental growth: 15.7% - Revenue split by growth lever (Upsell / Strengthen core / New regions): modelled as separate ARR cohorts; relative weights readable from slide 13 stacked bar - Upsell dominant in Years 1–2, New regions adds meaningfully from Year 3. - Upsell ceiling from existing base: €7.7M - cap upsell ARR at this figure - New logo win rate: 3–5 new bank logos per year at average contract value of €300–500K ACV, consistent with the €7.7M upsell pool and named client base implying ~15–25 active clients - Average contract value (ACV): - not in deck; estimate from upsell pool ÷ implied client count - Churn: <5% gross revenue churn (B2B enterprise SaaS norms; long-term bank contracts with high switching cost) - NRR: ~110–120% once upsell programme is executing *Costs* - Headcount: current size unknown; typical EU B2B fintech at this revenue scale = 50–120 FTE; new hub adds 10–20 FTE in Year 1–2 - New hub setup CAPEX/OPEX: €0.5–1.5M one-time per hub - Gross margin: 60–70% (SaaS with professional services delivery component; Delivery & Support team is material) - S&M as % of revenue: 25–35% (enterprise B2B, long sales cycles) - R&D as % of revenue: 20–30% - G&A as % of revenue: 10–15% *Market* - Global TAM 2023: $517.1M; 2028: $1,004.2M at ~14.2% CAGR - EU Banking vertical CAGR 12.2% - anchor for base-case new logo assumptions - MEA CAGR 17.5%, LatAm 13.0% - anchor for new region revenue ramp **Scenarios (which variables flex)**: - **Base**: Revenue grows per deck's stated percentages (15.7% CAGR); upsell captures 50% of €7.7M ceiling by Year 3; 2 new regional logos per year from Year 2. - **Bull**: Upsell captures 80% of ceiling by Year 3; 3–4 new logos/year including NA; new hub operational by Q2 2024; new vertical wins (PSP, insurance) add a 4th revenue stream from Year 2. - **Bear**: Capital raise delayed or partial; Year 1 starts in H2 2024 with reduced hiring; upsell captures only 25% of ceiling; churn ticks up to 8% as portfolio transition creates client confusion; new region revenue delayed to Year 4. **Required sheets / outputs**: 1. **Assumptions** - FY23 base revenue (confirm), ACV, client count, churn, headcount, hub costs 2. **ARR Bridge** - Beginning ARR, new ARR (by region/vertical), expansion ARR (upsell), churn ARR, ending ARR; annual + quarterly Year 1 3. **P&L** - Revenue, gross profit, S&M, R&D, G&A, EBITDA, Year 1–5 4. **Headcount plan** - by function (Commerce, Product, Engineering, Delivery, G&A), by hub 5. **Cash / Runway** - Operating cash burn, capital raise required, months of runway; key sensitivity to raise size vs. time-to-breakeven 6. **Market sizing reference** - TAM/SAM by region and vertical (from deck) as static reference tab 7. **Scenario toggle** - Base / Bull / Bear switchable via single cell ## Frequently asked questions ### Is the Meniga financial model free? Yes. The Meniga 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.