# Kora Financial Model

Home energy hardware + software platform that lets homeowners control, store, and sell electricity via a Virtual Power Plant (VPP).

- Canonical: https://finamodel.com/startups/kora
- Excel download: https://finamodel.com/startup-models/kora.xlsx
- Category: Fintech
- Model type: SaaS ARR / Valuation
- Funding round: Early-stage VC
- Funding: $2.6M
- Founded: 2025
- Geography: United States (California referenced as primary market context) [DECK, slide 5].
- Customer: B2C

## About the company

Kora is a home-energy hardware and software platform that lets homeowners manage, store, and potentially sell electricity through a virtual power plant. Its system combines a smart electrical panel, battery-style Powerblocks, and a consumer optimisation app.

The company’s opportunity layers recurring software and energy-market participation on top of a high-value direct hardware sale. Homeowners gain more control over energy use while Kora can aggregate distributed capacity for broader grid-market value.

The model should forecast system units sold, average selling price, installation and hardware cost, and gross margin. Then add software attach, monthly subscription revenue, enrolled energy capacity, market revenue share, and customer-support costs; working capital and installation timing are material to cash needs.

## 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

Four-component integrated system branded "Kora Home Energy System":
- **Smart Panel** - circuit-level visibility and control over every room; replaces legacy electrical panel.
- **Home App** - automatic energy optimisation based on habits, weather, and real-time rates.
- **Powerblocks** - modular battery storage, up to 112 kWh per home (vs. Tesla Powerwall 3 max 94.5 kWh).
- **Energy Trading / Kora VPP** - aggregates home batteries into a Virtual Power Plant; homeowners access wholesale energy markets for the first time, enabled by FERC Order 2222.

Value props: backup power resilience, energy cost savings, and monetisation of stored energy back to the grid.

## Market

- TAM - U.S. electricity market: $500B+ annually.
- SAM - Home energy management market: $150–200B annually.
- SOM - Serviceable market for Kora: $40–150B annually.
- Macro tailwind: "$41 Trillion Transition" framing for global electrification investment.
- California alone discards up to $1.2B of renewable energy per year.
- No CAGR or year cited for market figures; no SOM unit penetration assumptions given.

## Revenue model

Not fully detailed in deck. Inferred from product description:
1. **Hardware sale** - upfront sale of Smart Panel + Powerblocks system to homeowners. Implied DTC channel (CEO's Trifecta background; KoraPower.com website shown).
2. **Software / app subscription** - likely recurring fee for Home App optimisation features (not explicitly priced in deck).
3. **Energy trading revenue share** - Kora VPP participates in wholesale energy markets; revenue share with homeowners implied but split not disclosed.

No ASP, subscription price, or revenue share percentage stated in deck.

## Traction & metrics

- $2.6M SAFE round, oversubscribed, led by Moneta AI Fund III - completed.
- CEO Greg Connolly built prior company Trifecta to $100M ARR in 4.5 years.
- CTO Carlos Restrepo: former CTO of Sonnen, which sold to Shell for $500M.
- No Kora-specific revenue, unit sales, customer count, installation count, pipeline, or waitlist figures disclosed in deck.

## Competition / moat

Primary named competitor: Tesla (Powerwall 3).
Kora's stated differentiation:
- Larger storage capacity: up to 112 kWh vs. Powerwall 3's max 94.5 kWh.
- Wholesale energy market access via VPP (Tesla does not offer this to consumers).
- Native circuit-level visibility - no third-party add-ons needed.
- Higher PV intake, tougher enclosure, colder-climate ready.
- FERC Order 2222 regulatory moat: enables DER aggregation; first-mover framing.

Other incumbents (Enphase, SunPower, utilities, Generac) not named in deck.

## Team & funding ask / use of funds

**Team**:
- Greg Connolly, CEO - Founder/CEO of Trifecta ($500M revenue); DTC expertise.
- Carlos Restrepo, CTO - Former CTO of Sonnen (exit to Shell for $500M).
- Steve Pope, VP Engineering - 35-year veteran; former Apple (under Jobs & Wozniak).
- Tyler Thomas, CAIO - Former CTO Trifecta; 20-year software architect.
- Murray Baker, Principal Firmware Engineer - 30-year veteran; former IBM.

**Funding**:
- Completed: $2.6M SAFE (oversubscribed), Moneta AI Fund III-led.

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## Recommended financial model

**Archetype + why:**
DTC hardware + recurring revenue (hardware P&L with attached SaaS/VPP revenue layer). The business sells a high-ASP physical system (smart panel + batteries) direct to homeowners, with software subscription and energy trading revenue stacking on top. This is closest to a Nest/Tesla Energy hybrid: unit-economics-driven hardware model with a subscription attach rate. A full 3-statement model should underpin it, with a dedicated hardware gross margin build and a recurring revenue ARR schedule.

**Forecast horizon & granularity:**
- Years 1–2: monthly (pre-revenue / early ramp; cash burn is critical).
- Years 3–5: quarterly then annual.
- 5-year total horizon standard for hardware-SaaS at this stage.

**Key drivers & assumptions:**

*Demand / units:*
- Units sold per month
- Average system ASP (hardware)
- Installation attach rate and installer margin

*Hardware economics:*
- Hardware COGS per unit
- Gross margin on hardware

*Software / subscription:*
- Monthly subscription fee per home
- Attach rate of software to hardware customers

*VPP / energy trading:*
- % of installed base enrolled in VPP
- Average monthly VPP revenue per enrolled home
- Kora revenue share of VPP earnings

*Go-to-market:*
- CAC - DTC digital channel
- LTV = hardware margin + (subscription ARPU × avg tenure months) + VPP share
- Payback period

*Cost structure:*
- Headcount ramp
- R&D, firmware, app development spend
- Marketing / customer acquisition spend
- Working capital: hardware inventory build

*Market sizing bridge to units:*
- SOM $40–150B implies tens of millions of addressable homes; model should capture % penetration of target geographies (CA first)

**Scenarios (Base / Bull / Bear - which variables flex):**
- **Base:** Hardware ASP ~$20K, gross margin 50%, 100 units in Y1 growing 3× YoY, 25% VPP attach, software attach 75%.
- **Bull:** Faster DTC ramp (CEO's Trifecta playbook), higher VPP revenue as grid services markets deepen post-FERC 2222, ASP holds or rises as competition lags.
- **Bear:** Supply chain delays inflate COGS, hardware gross margin compresses to 35–40%, VPP market development slower than expected, CAC higher due to nascent category education cost.

**Required sheets / outputs:**
1. Assumptions dashboard (all drivers in one place, colour-coded)
2. Units & revenue build (hardware units, ASP, hardware revenue; software subscribers, MRR/ARR; VPP enrolled homes, revenue)
3. Hardware COGS & gross margin build
4. Income statement (IS) - monthly Y1–2, quarterly Y3–5
5. Cash flow statement - burn rate, runway; highlight inventory cash drag
6. Balance sheet (BS) - inventory, PP&E if manufacturing, SAFE note
7. Headcount & opex schedule
8. Unit economics summary (CAC, LTV, LTV/CAC, payback)
9. Scenario toggle (Base / Bull / Bear)
10. KPI dashboard: units installed, installed base, ARR, gross margin %, cash runway

## Frequently asked questions

### Is the Kora financial model free?

Yes. The Kora 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.
