ANYbotics Financial Model
Hardware/Deep-tech Startup Financials (Free Excel Download)
ANYbotics builds and sells autonomous legged inspection robots (ANYmal) for industrial facilities, targeting oil & gas, chemicals, power, offshore, mining, and manufacturing sectors.
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About this model
ANYbotics builds ANYmal, an autonomous legged robot for industrial inspection in oil and gas, chemicals, power, mining, and manufacturing. The robots carry out rounds in environments where manual inspection can be dangerous, repetitive, or difficult to perform consistently.
The commercial value is not simply a hardware sale. A deployment can replace inspection labour while producing recurring operational data, so customers may buy robots outright or adopt a Robots-as-a-Service arrangement tied to site operations. Reliable navigation, sensor performance, and integration into maintenance workflows determine whether the fleet expands.
Model robots deployed, sites served, contract type, hardware ASP or RaaS pricing, service revenue, and utilisation. Deduct manufacturing, sensors, field deployment, maintenance, software operations, and support costs. Sales-cycle length, fleet expansion per customer, uptime, gross margin, recurring-service attach, and retention should drive scenarios.
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 ANYbotics
anybotics.com
How to build a detailed financial model for ANYbotics
A complete walkthrough of the business, drivers, and assumptions behind the downloadable ANYbotics model - distilled from its pitch deck and publicly available information.
Product & value proposition
- ANYmal: Industrial-grade autonomous legged robot, IP67 rated, 5 patents pending. Performs autonomous inspection missions: visual, thermal, acoustic, gas, and 3D data collection.
- ANYmal X: World's only legged robot with Ex-certification for all Oil & Gas and Chemicals environments, 3 patents pending.
- ANYmal OS: Software stack for mission planning, robot control, and integration via API with plant management systems.
- Workflow: One-day setup; on-device autonomy (no constant connectivity required); 2-hour battery per charge with auto-docking; shares workspace safely with humans.
- Value claims: 5× more insights, 10× faster reporting, 3× monitoring frequency, 100% personnel safety, 100% accuracy & consistency vs. human inspections.
- Production outsourced to Zollner Electronics (12,000 employees, global footprint); scalable to thousands of robots per annum.
Market
- TAM: >$30bn for autonomous inspection robotics, based on 150,000 qualified sites in energy, chemicals, industrial processing, and construction.
- Segments by site count: Processing >100,000 sites; Power >30,000 sites; Offshore >10,000 sites; Mining >5,000 sites; Construction >5,000 sites.
- Market growth: Mobile robotics total shipments growing at 35% CAGR (mobile robots segment); overall market growing 20× from 2020 to 2030 (ABI Research).
Revenue model
- CAPEX sales: Direct hardware sale of ANYmal / ANYmal X robots (one-time capital purchase).
- SaaS: Software/subscription layer on top of hardware for inspection data analytics, mission management, and reporting (described as "additional inspection intelligence capabilities").
- RaaS (Robot-as-a-Service): Hardware bundled as a service subscription, converting upfront CAPEX to recurring revenue.
- Channel/GTM:
- Direct sales for initial customer relationships.
- Indirect sales through: Local Resellers (handle import, L1 support/repairs), System Integrators (embed in automation projects), Industrial Service Providers (include ANYmal in I&M offerings), Greenfield Partners (integrate into new facility designs).
- Pricing (per unit or subscription): Not explicitly stated in deck.
Traction & metrics
- Install base: ">XX robots in the field" - exact number redacted in slide 10 image.
- LOI pipeline: >$150m LOI volume signed with ANYmal X Early Adopter Program (EAP) customers for scaling 2023–2025.
- Sales order history: Combo bar-line chart shown (slide 10) displaying Monthly OI and Total OI - strong upward trajectory visible but specific $ values redacted/blurred.
- Customer base: Multiple named end-customers and strategic sales partners shown (logos visible but blurred in image). Repeat customers noted.
- Founding / first sales: First robot sales to industrial customers: 2020; Certified industrial-grade inspection solution: 2021; World's first legged robot for O&G & Chemicals: 2022.
Unit economics
- Customer value cases (cost savings avoided):
- Unplanned downtime (Industrial Ops): $200–500k cost per incident
- Inspection during operation (Power): $200–300k revenue loss per hour
- Asset damage prevention (Power): $0.5–1.5m cost per incident
- Remote operation (Offshore): $30–50k cost per trip
- Gas leakage detection (Oil & Gas): $5–10k cost per day
- 3D asset scanning (Manufacturing): $100–150k cost per year
- Frequent sampling (Chemicals): $200–300k cost per year
Competition / moat
- Competitors:
- Boston Dynamics: Market-agnostic mobility platform; requires 3rd-party hard/software for industrial inspection; IP54 (weaker); no Ex-certification.
- Unitree: Low-cost legged platform; broad market focus; no autonomy, no CE or Ex-certification.
- Exrobotics: Ex-certified tracked robots; limited mobility; requires 3rd-party software.
- Taurob: Ex-certified tracked robots; bulky; limited mobility & autonomy.
- ANYbotics moat: Only legged robot with Ex-certification (for O&G/Chemicals); IP67 industrial-grade design; end-to-end solution stack (hardware + software); 13-year robotics lineage (ETH Zurich, since 2009); DARPA Subterranean Challenge winning platform; ANYmal research network (ETH, Oxford, NVIDIA, etc.) continuously improving the platform.
- Patents: 5 pending on ANYmal; 3 pending on ANYmal X; patented robotic drive technology since 2015.
Team & funding ask / use of funds
- Leadership:
- Dr. Péter Fankhauser - CEO & Co-Founder; Robotics PhD ETH Zurich; IMD; 12 years in robotics.
- Fredrik Isler - CFO; M.A. HSG; 9 years in M&A, finance, and HR.
- Enzo Wälchli - CCO; M.A. HSG; 10 years in B2B strategy, marketing, sales.
- Martin Bühlmann - COO; EMBA HSG; 20 years in supply chain, operations, quality.
- Dr. Robert Mackenzie - CTO Solutions; PhD ETH Zurich; 12 years scaling high-growth tech companies.
- Dr. Mario Mauerer - CTO Hardware; PhD ETH Zurich.
- Team size: 90 FTE; 35% PhDs in R&D.
- Round: Series B.
- Use of funds: Not explicitly stated; milestones tagged as 2023 and 2024 on slide 17, but text is blurred.
- Prior funding: Not itemized in deck.
Recommended financial model
- Archetype + why: Hardware + recurring revenue (CAPEX + SaaS/RaaS) model. ANYbotics sells physical robots (one-time CAPEX revenue or RaaS subscription) plus a recurring software layer. The model should track robot unit shipments as the primary volume driver, with attached software/SaaS ARR and RaaS conversion rates. Similar to a B2B hardware-led company with recurring attach (think Palantir pre-subscription or Axon hardware + Evidence.com SaaS).
- Forecast horizon & granularity: 5 years (2022–2027), quarterly for Years 1–2, annual for Years 3–5. This covers the Series B deployment period and path to profitability.
- Key drivers & assumptions:
- Robot units shipped per year - starting base
- Robot ASP (CAPEX sale)
- RaaS conversion rate
- Annual SaaS/software ACV per robot
- Software revenue = cumulative install base × ACV × attach rate
- Gross margin on hardware
- Gross margin on software/SaaS
- Blended gross margin
- Revenue CAGR 2022–2025 >100% YoY for 2023–2024 coming off small base]
- Headcount growth
- CAPEX (tooling, production capacity) front-loaded investment in 2023–2024]
- Sales channel mix: direct vs. indirect
- Target verticals: O&G, Chemicals, Power, Offshore, Mining, Processing
- Scenarios (Base / Bull / Bear):
- Base: Robot units ramp per LOI-backed pipeline; ~50% of >$150m LOI converts to revenue over 2023–2025; software attach grows steadily.
- Bull: Full LOI conversion + accelerated RaaS adoption + partner channel outperforms; earlier profitability.
- Bear: LOI slippage, longer sales cycles, hardware margin compression from component costs; cash burn extends runway need.
- Flex variables: units shipped, ASP, software attach rate, RaaS vs. CAPEX mix, gross margin.
- Required sheets / outputs:
- Assumptions dashboard (all drivers with/ tags)
- Revenue build: hardware (units × ASP by CAPEX vs. RaaS) + software (ARR bridge)
- P&L: Revenue → Gross Profit → EBITDA → EBIT (by quarter Y1–2, annual Y3–5)
- CAPEX schedule (robot production tooling, R&D capex)
- Headcount plan (R&D, Sales, G&A)
- Cash flow & runway (critical for Series B use-of-funds story)
- ARR waterfall (new ARR, expansion, churn - for SaaS/RaaS component)
- Scenario toggle (Base / Bull / Bear)
- Summary KPI dashboard: units in field, ARR, revenue, gross margin %, burn, runway
Frequently asked
Is the ANYbotics financial model free?+
Yes. The ANYbotics 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 ANYbotics'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.
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