Versatile Financial Model
PropTech Startup Financials (Free Excel Download)
IoT sensor + SaaS analytics platform that instruments construction cranes to give General Contractors real-time productivity data.
professionals from Deloitte
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About this model
Versatile instruments construction cranes with IoT sensors and SaaS analytics, giving general contractors real-time productivity data. The hardware-enabled platform helps teams understand site activity and improve project execution through a continuous operating-data layer.
The company sells a recurring subscription per crane, with growth from new logos and more crane deployments per customer. Its deck described ARR growing eightfold in 2020, while hardware may be sold or leased at low margin to support software adoption.
The model forecasts cranes deployed, device revenue, subscription ARR, installation, data usage, expansion, and churn. Hardware COGS, support, sales capacity, gross margin, R&D, and project-cycle seasonality determine the cash runway and land-and-expand economics.
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 Versatile
versatile.ai
How to build a detailed financial model for Versatile
A complete walkthrough of the business, drivers, and assumptions behind the downloadable Versatile model - distilled from its pitch deck and publicly available information.
Product & value proposition
- Product: Versatile CraneView - a sensor/camera assembly installed on a construction crane in 5 minutes, collecting lift data automatically via ML/computer vision.
- Mobile app displays productivity KPIs (total lifts, total time, average duration, motion time) to site managers and remote stakeholders.
- Core value claims:
- 30% improvement in crane cycle times (savings $186–$2,849 per minute)
- 35–45% improvement in forward-looking scheduling error (2 hours/day saved)
- 5–6 weeks improvement in crane demobilization timing ($60K direct costs to $1M risk mitigation)
- Workflow: collect site plans pre-onboarding → install device (5 min) → auto-generate performance reports → auto-notify of opportunities → update plans with actuals.
- COVID-19 angle: 100% remote/touchless deployment maintained growth during shelter-in-place.
Market
- TAM: $265B left on the table by General Contractors annually (McKinsey, June 2020); framed as addressable waste/inefficiency, not a formal TAM figure.
- SOM: "$##B Serviceable Obtainable Market" - exact dollar figure redacted/obscured in deck. US cranes first; future map shows North America, Europe, Middle East, China/Asia, Australia.
Revenue model
- Per-crane subscription (SaaS/opex model): customers pay per crane instrumented.
- Land-and-Expand: initial contract on first crane on a jobsite, then rapid expansion to additional cranes as ROI is demonstrated.
- Contract structure: project-based deployments (crane demobilization timing implies per-project contracts); "stop charge" offered during SIP projects suggesting ability to pause billing.
- Revenue metric tracked: ARR.
Traction & metrics
- ARR grew 8x in 2020 (as of March 2020).
- ARR forecast shown as exponential curve from 2020 to 2023; no axis labels / dollar values visible on chart image.
- Customers include: Turner Construction, Gilbane Building Company, G·L·Y ($915M annual revenue GC).
- Named media: ENR Engineering News-Record feature; World Economic Forum named Versatile a 2020 Technology Pioneer.
- Partnership: The Crosby Group (crane equipment manufacturer).
- Customer productivity example: rebar column average time reduced from 18 min to <6 min average.
- Gilbane: 20 hours/month saved in manual reporting effort.
- Deck year: 2020.
Unit economics
- ROI to customer: Savings $186–$2,849 per crane-minute of cycle time improvement; $60K–$1M per demobilization event. Implied fast payback for GC, supporting high retention.
Competition / moat
- Competitive positioning matrix (slide 8): Versatile positioned as uniquely combining "actionable production data" with "seamless fit to workflows" - competitors fall short on one axis.
- Named competitive categories: AI Crane Insights, Reality Capture, Crane Cameras, Scheduling Tools - all positioned as requiring more effort or delivering less actionable data.
- Prior alternative: stopwatches to produce production rates.
- Moat sources implied in deck: proprietary ML/computer vision trained on crane operations; sticky opex contracts; network of customer data; 5-minute install removing friction; World Economic Forum Technology Pioneer status.
Team & funding ask / use of funds
- Founding team:
- Meirav Oren - CEO & Co-Founder
- Danny Herman - CPO & Co-Founder
- Barak Cohen - CTO & Co-Founder
- Ran Oren - Co-Founder
- Department leads: Construction Science/BIM (ex-Tidhar, Technion lecturer), Head of Design (ex-Autodesk Construction), Director Customer Success/Sales (ex-Oracle/Aconex), BD (ex-CEO Triax), Lead Gen (ex-construction insurance).
- Key advisors/angels: Leigh Jasper (investor, former CEO/Co-Founder Aconex), Rob Philpot (investor, former CPO/Co-Founder Aconex), Robert Kipp (Senior General Superintendent, Holt Construction).
Recommended financial model
- Archetype + why: Hardware-enabled SaaS ARR model with land-and-expand mechanics. Revenue is subscription per crane; growth is driven by (a) new logos and (b) expansion of cranes per customer. Hardware (device) likely sold/leased at or below cost as a customer acquisition mechanism - model should track device units separately from recurring software ARR. This mirrors classic "razor-and-blade" / usage-based SaaS with project-cycle seasonality.
- Forecast horizon & granularity: Monthly for Year 1–2 (matches project-cycle visibility); quarterly for Years 3–5. Horizon: 5 years (2020–2025) to show path to scale.
- Key drivers & assumptions:
| Driver | Value / Source |
|---|---|
| Active cranes instrumented (start of period) | ~10–30 cranes as of early 2020, consistent with early-growth stage and named reference customers |
| New logos per quarter | 3–6 GCs/quarter in 2020, ramping; land-and-expand means logo count < crane count |
| Average cranes per new logo (initial) | 1–2 cranes on first deployment |
| Expansion cranes per existing logo per year | 2–4x uplift within 12 months based on "rapidly expand" claim |
| ARR per crane per year (ACV) | $15K–$30K/crane/year - not disclosed; range based on ConTech SaaS comparables and ROI implied ($186–$2,849/min savings) |
| ARR growth rate (2020) | 8x |
| Gross revenue retention | 90%+ - "sticky, opex-heavy" language and no churn cited |
| Net revenue retention | 130–150% - driven by crane expansion per customer |
| Hardware unit cost (COGS) | $2K–$5K/device; likely subsidised or amortised over contract |
| Gross margin (software) | 70–80% at scale; lower initially due to hardware and onboarding costs |
| Sales cycle | 2–4 months for initial crane; faster for expansions |
| CAC (blended) | $10K–$25K per logo; CS-heavy model with field onboarding |
| Headcount growth | 15–20 FTEs in 2020; scale CS/Sales with revenue |
- Scenarios (Base / Bull / Bear - which variables flex):
- Base: ARR 8x in 2020 as stated; growth decelerates to 3x in 2021, 2x in 2022, 1.5x in 2023 as base matures. NRR ~130%.
- Bull: Faster new logo acquisition (major GC enterprise deals landing); NRR 150%+; US SOM captured faster; international expansion begins 2022.
- Bear: Slower sales cycles due to construction seasonality / macro; hardware supply constraints; ARR growth slows to 2x in 2021. Churn from project-end contracts not renewed.
- Required sheets / outputs:
- Assumptions - all driver inputs with scenario toggle (Base/Bull/Bear)
- ARR Waterfall - new ARR, expansion ARR, churned ARR, net new ARR, ending ARR by period
- Crane & Logo Cohort Build - logos by cohort, cranes per cohort, expansion trajectory
- P&L - Revenue (software + hardware), COGS (hardware + hosting + CS), Gross Profit, OpEx (S&M, R&D, G&A), EBITDA
- Headcount Plan - by department, tied to revenue milestones
- Cash & Runway - burn, cash balance, implied raise timing
- Unit Economics Summary - CAC, LTV, LTV:CAC, payback by cohort year
- Dashboard - KPI cards: ARR, cranes live, NRR, gross margin, runway
Frequently asked
Is the Versatile financial model free?+
Yes. The Versatile 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 Versatile'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
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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