AL
Alto Financial Model

Crypto/Web3 Startup Financials (Free Excel Download)

Self-directed IRA platform enabling retail investors to invest in alternative assets (private equity, debt, real estate, crypto) via tax-advantaged retirement savings.

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About this model

Alto is an automated self-directed IRA custodian for alternative assets, giving retail investors tax-advantaged access to private investments, real estate, debt, and planned digital-asset trading. Its workflow automates account opening and transfers, API-driven transactions with platform partners, and IRS reporting that traditionally requires expensive paper-based administration.

The early product was live with AngelList and had opened 55 accounts, received $2.6 million of transfers and rollovers, and closed more than 60 investments in its first 60 days without marketing. Alto earns a $49 setup fee, $25–$99 per investment, annual reporting fees, and potentially crypto-trading fees.

Model Alto as a fee-based account-growth business, not conventional SaaS. Forecast account additions, activation, investments per active account, partner integrations, and crypto adoption, then build each fee stream separately. Reporting and custodial compliance constrain gross margin, while low partner-led acquisition cost and the stated 150,000-user goal make distribution assumptions central.

A turnkey financial model

Live formulas, no hardcoded values

Outputs are driven by live formulas, so the workbook updates from its assumptions instead of relying on hardcoded results.

All assumptions in one tab

Inputs are clearly marked in the Assumptions tab and separated from calculations, making it clear what to change and what to leave intact.

Statements always balancing

For integrated-statement models, the balance sheet, cash flow, and supporting schedules tie through properly.

Distinct schedules for clarity

Debt, working capital, taxes, and cash flow can get messy quickly. We group calculations in clear schedules, not across disconnected tabs.

No hidden macros or external links

There are no unexplained external workbook links or macros to undermine auditability or portability.

Changes flow through the model

Update a key driver and see the impact carry through the forecast, financing, and return outputs. We never use hardcoded numbers in formulas.

About Alto

Read the pitch deck
Alto pitch deck cover
View on makeslides.com
Total raised
$5.4M
Funding round
Seed
Founded
2019
Category
Crypto/Web3
Customer
B2B2C
Geography
United States

How to build a detailed financial model for Alto

A complete walkthrough of the business, drivers, and assumptions behind the downloadable Alto model - distilled from its pitch deck and publicly available information.

Product & value proposition

  • AltoIRA: a fully automated alternative-asset IRA custodian and investment platform.
  • Three core workflow steps: (1) ACCESS - automated account creation and asset transfer from existing custodian; (2) TRANSACT - API-driven transaction engine connected to crowdfunding (CF) platform partners; (3) REPORT - automated IRS reporting and related-party communications.
  • Serves both sides of the market: investors get a low-cost, easy-to-use platform; CF platforms / crypto exchanges / issuers get access to untapped IRA liquidity.
  • Positioned as "TurboTax for alternative-asset IRA investing" - replaces a confusing, paper-based, expensive DIY process.
  • Initial integration: AngelList (live). Roadmap: more CF platforms, integrated digital-asset trading platform, wealth management firm partnerships.

Market

  • 80 million IRA accounts hold >90% of all US savings.
  • Total US retirement assets: $11.6T (2000) → $18.1T (2010) → $20.1T (2012) → $39.2T projected (2020); IRA component approximately $12.2T (2012) → $24.7T (2020).
  • By 2020: 20 million accredited + 110 million non-accredited households with >$24T in retirement accounts.
  • Alternatives currently <2% of retirement savings vs. ~25% for major institutional investors (e.g., Yale Endowment ~75–80% alternatives by 2015).
  • Millennial demand for alternatives growing at 2x the rate for traditional investments; millennials projected to control $20T in financial assets by 2030 (5x current).
  • Global AuM in alternatives + passive: 12.6% (2004) → 16.2% (2007) → 21.4% (2012) → 35.1% projected (2020).
  • In 2017, only 300,000 investors participated in 23,000 Reg D offerings raising >$1T.
  • TAM framing: $24T+ in IRA/retirement assets addressable once Reg CF/A+ enables non-accredited participation. No formal SAM/SOM figures stated.

Revenue model

Four revenue lines:

#LineStructureRate
1Account setup feeOne-time, per account$49
2Transaction feesRecurring, per investment$25–$99 per investment
3Crypto trading feesRecurring; variable per trade or fixed unlimited planNot specified (two tiers implied)
4Annual reporting feesPer non-CF asset and per CF-platform; capped$99/asset or $99/CF-platform*, cap $499

*$99 annual reporting fee covers unlimited assets on a single CF-platform.

Channels: direct (AltoIRA.com) and via CF platform / crypto exchange partnerships (B2B2C). No revenue share or platform referral fee mentioned in deck.

Traction & metrics

  • Prior funding raised: $1.8M
  • 55 AltoIRA accounts opened since launch
  • $2.6M in IRA transfers and rollovers received
  • 60+ investments closed in first 60 days, zero marketing
  • Own AngelList syndicate: raised >$210K from 48 investors; 7 (15%) used new AltoIRA accounts
  • No revenue figures, ARPU, MRR, or churn data in deck.

Unit economics

Partial inferred inputs from pricing (not to be treated as stated UE):

  • Minimum ARPU per account (setup only, no investments): $49
  • ARPU with 1 investment + 1 CF-platform annual fee: $49 + $25–$99 + $99 = $173–$247
  • ARPU at annual fee cap (multi-asset, multi-platform): $49 + (n × transaction fees) + $499

Competition / moat

Competitors identified:

  • SD-IRA Custodians (PENSCO Trust, Strata Trust, Millennium Trust): support alternative assets but paper-based, expensive ($$$), no automation, no API integrations, no deal hub.
  • Major Brokerages (implied): automated workflow + low cost but do NOT support alternative assets, issuer accounts, deal hub, or CF integrations.

Alto's claimed differentiation: only player with all six attributes simultaneously - automated workflow, alternative assets, issuer accounts, deal hub, API-driven CF platform integrations, fee transparency - at low cost ($).

Moat narrative: proprietary API transaction engine, network effects from dual-sided platform (investors + issuers/CF platforms), IRS reporting automation, first-mover in automated SD-IRA for Reg CF.

Team & funding ask / use of funds

Team:

  • Eric Satz - CEO; founder of Currenex, Plumgood Food, TNCV; TVA board member.
  • Adam Albright - CTO; platform/security design across finance, travel, e-commerce, manufacturing, telecom.
  • James O'Brien - Director, Client Services; UX, product, content, sales, marketing.
  • Gary Hirsch - Company Counsel; Intralinks, Currenex, Marsh & McLennan, Willkie Farr & Gallagher.

Funding ask: $2M seed round.

Use of funds:

  • Expand dev team to integrate more CF platforms faster
  • Launch integrated digital asset (crypto) trading platform
  • Acquire 150K active users
  • Partner with wealth management firms
  • Build tech + legal framework for alternative deal discovery and automated portfolio diversification

Recommended financial model

Archetype + why: Fee-based fintech account-growth model (similar to a custodian / marketplace). Revenue is driven by account additions (setup fee) plus per-account recurring fees (transaction volume and annual reporting). Not SaaS ARR (no subscription), not DTC inventory, not GMV marketplace in the traditional sense - closest to a custodial fintech unit-economics model with four discrete fee streams. A 3-statement is warranted once revenue scales; at seed stage the primary output is a unit-economics P&L and cash runway model.

Forecast horizon & granularity:

  • Monthly for Year 1–2 (cash runway critical at seed stage)
  • Quarterly for Years 3–5
  • 5-year total horizon

Key drivers & assumptions:

DriverValue / Tag
New accounts per month (Y1 start)200/month; ramp to ~2,500/month by Y2 end to reach 150K total user target
Account setup fee$49/account
Avg. investments per active account per year3; based on early cohort of 60 investments / 55 accounts ≈ ~1.1 in first 60 days, annualised and blended down
Avg. transaction fee per investment$50 (midpoint of $25–$99 range)
% of accounts investing in crypto20% of accounts in Y1, rising to 35% by Y3; based on roadmap emphasis and market trends
Crypto fee ARPU (annual)$60/year per crypto-active account; no deck data - placeholder pending pricing detail
Annual reporting fee per account$99/CF-platform (or $99/non-CF asset), capped at $499; avg. $120/account/year blending single-platform majority with multi-platform tail
Account activation rate (accounts with ≥1 investment)70% within 6 months of opening; based on 60/55 accounts being active in cohort
Monthly churn (account closures)1.5%/month; SD-IRA accounts are sticky (long-term assets) but early-stage product
Gross margin on fee revenue65–70%; custodial/compliance costs, IRS reporting infrastructure, partner integrations are primary COGS
Headcount (Y1)8 FTE scaling to 20 by Y2; seed raise of $2M implies ~18–24 months runway at lean burn
Monthly burn (pre-revenue scale)$120K–$150K/month; engineering-heavy team post-raise
CF platform integrations (live)1 (AngelList); +3 platforms in Y1, +6 more in Y2 per use-of-funds priority
CAC$30–$60/account at launch (organic/partner-driven); B2B2C channel lowers blended CAC materially vs. direct

Scenarios (Base / Bull / Bear - which variables flex):

  • Base: 150K accounts by end of Y3 (deck target); avg. 3 investments/account/year; $50 avg. transaction fee; 70% activation.
  • Bull: CF platform integrations accelerate (10+ partners by Y2); avg. investments/account rises to 5; crypto penetration 40%; wealth management channel adds institutional-scale inflows.
  • Bear: Platform integrations delayed; user acquisition misses (50K accounts by Y3); crypto revenue launch delayed by 12 months; regulatory headwinds on Reg CF limit addressable non-accredited market.

Required sheets / outputs:

  1. Assumptions - all drivers in one tab, colour-coded vs.
  2. Account Cohort Model - monthly new accounts, churn, net active accounts by cohort
  3. Revenue Build - four fee lines × monthly active accounts; setup fee one-time, others recurring
  4. P&L - revenue, COGS (compliance/reporting/infrastructure), gross profit, opex (headcount, tech, G&A, marketing), EBITDA
  5. Cash Flow & Runway - monthly cash burn, ending cash, months of runway from $2M raise; key milestone markers (150K users, cash-flow breakeven)
  6. Sensitivity Table - accounts acquired vs. avg. transaction fee → revenue and runway
  7. KPI Dashboard - accounts (total/active), ARPU, monthly revenue, gross margin %, burn, runway

Frequently asked

Is the Alto financial model free?+

Yes. The Alto model is a free Excel (.xlsx) download with live formulas. Sign up with your email and the workbook is yours to keep, review, and edit.

What's included in the model?+

A 5-year monthly forecast with P&L, cash flow and runway, valuation (exit multiple plus a DCF cross-check), MOIC/IRR returns, and unit economics, with live formulas throughout.

How was this model built?+

It was built from Alto's pitch deck and publicly available information, then structured to investment-banking standards as a fully editable Excel model.

Can I change the assumptions?+

Yes. You can change assumptions and the live formulas will recalculate in the downloadable Excel model.

Have more financial modelling questions? Contact us

Alex Tapio, ex-Deloitte financial modelling expert

Created by ex-finance professionals

Hey, I’m Alex and I created Finamodel.

Over my years in the finance industry I kept building the same models over and over again. Same structure, same assumptions, different logo. So I started building frameworks to turn them into clean, reusable templates.

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I’m not an expert in every industry, but I’ve built enough models to know what belongs in one. And when something is completely foreign to me, I reach out to my network for experts to work on our models with us.

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