ANYbotics AG Pitch Deck: 19-Slide Breakdown

See all 19 slides of the ANYbotics AG pitch deck, with a slide-by-slide teardown of what the deck does well and where it falls short.

ANYbotics AG utilized this 19-slide deck to secure a $50M Series B round, focusing on the transition from manual industrial inspection to fully autonomous robotic workforces. The deck is notable for its heavy emphasis on the 'ANYmal' hardware platform's unique certifications, specifically the Ex-certification for hazardous environments like oil and gas plants. By framing their solution as a bridge for the 1.5 million unfilled plant operator positions expected in the EU by 2030, the company successfully moved the conversation from 'cool robotics' to 'essential infrastructure.' The presentation…

Key takeaways

Introduction: The Shift to Autonomous Industry

ANYbotics AG, a spin-off from ETH Zurich, produced this Series B pitch deck to raise $50M. The deck focuses on the transition from manual, human-led industrial inspections to a fully autonomous robotic workforce. By targeting high-stakes environments like offshore rigs and chemical plants, the company moves beyond the 'novelty' phase of robotics into mission-critical infrastructure.

Slide 1: Title and Opportunity

The cover slide establishes the company's core mission: "Creating a workforce of autonomous robots." It features the ANYmal robot in a dense industrial setting, immediately signaling the target market. The slide introduces the key presenters, CEO Dr. Péter Fankhauser and CFO Fredrik Isler, and notes the location and year as Zurich, 2022.

Slide 2: The Vision

This slide serves as a high-level vision statement. It emphasizes "teaming up humans and autonomous robots" to increase productivity and sustainability. The visual collage shows the robot operating in diverse environments: tunnels, wind turbines, and solar farms, suggesting a versatile platform.

Slide 3: The Industrial Problem

ANYbotics identifies three macro-drivers for their business. First, a Workforce Shortage , citing 1.5 million unfilled plant operator positions in the EU by 2030. Second, Limited Productivity , noting that undetected issues lead to $270 billion in annual downtime costs. Third, Human Error , which they claim is the leading cause of most industrial accidents. This slide effectively quantifies the pain points for potential investors.

Slide 4: The Robotic Revolution

This slide contextualizes ANYbotics within the history of robotics. It moves from "Automated Manufacturing" (3 million industrial robots) to "Smart Warehousing" (600,000 robots) and finally to the "Autonomous Industry." The distinction is that while previous revolutions handled structured tasks in controlled environments, ANYbotics handles structured problems in dangerous environments .

Slide 5: Building the Autonomous Industry

The company introduces a three-level maturity model for automation. Level 1 is Basic Automation (connected machinery). Level 2 is Assisted Operation (remote-controlled tools). Level 3, where ANYbotics operates, is the Autonomous Industry , characterized by autonomous inspection and maintenance. The slide introduces the concept of a "Digital Twin," where robot data generates actionable insights for plant management.

Slide 6: Company Heritage and Timeline

Traction is built on a long history of R&D. The timeline starts in 2009 with research at ETH Zurich, leading to the world's first agile electrical four-legged robot in 2012, the company spin-off in 2016, and the first sales to industrial customers in 2020. By 2022, they claim the "world's first legged robot for Oil & Gas and Chemicals." This establishes deep technical credibility.

Slide 7: The Robotic Platform

This slide details the hardware. It highlights the ANYmal (IP67 water and dust protected) and the ANYmal X (the only legged robot with Ex-certification). Crucially, it mentions that production is outsourced to Zollner Electronics, a partner with 12,000 employees, demonstrating that the company has a scalable manufacturing strategy rather than just a lab prototype.

Slide 8: Integration and Workflow

The deck explains the three-step operational process: 1) Plan inspection missions via a one-day setup, 2) Schedule and execute with auto-battery recharging and 2-hour run times, and 3) Process and issue tracking, where visual, thermal, and acoustic data is integrated into existing plant management systems via API.

Slide 9: Customer Value Cases

This is one of the most important slides for a Series B investor. It breaks down the ROI across different sectors. For example, in Power , they claim to prevent $0.5M-$1.5M in costs per incident through asset damage prevention. In Offshore , they save $30k-$50k per trip by reducing the need for human interaction. These specific dollar amounts move the product from a 'nice-to-have' to a cost-saving necessity.

Slide 10: Commercial Traction

The traction slide shows a logos of end customers and strategic sales partners (though many are blurred in this version). It highlights an install base of robots in the field and a "Sales Order History" chart showing exponential growth in total orders. The standout metric is >$150m in LOI volume signed for the scaling period of 2023-2025.

Slide 11: Market Size

ANYbotics estimates a >$30bn TAM for autonomous inspection robotics. This is based on 150,000 qualified sites across offshore, power, processing, mining, and construction. They cite a 35% CAGR for mobile robots through 2030, supported by data from ABI Research.

Slide 12: The Artificial Brain

This slide focuses on the software stack. It mentions "Deep Learning Robot Control" for navigating complex terrain and "Fleet Intelligence" for robot-to-robot communication. The company positions itself as a software-first entity that develops the "brain" to power a connected fleet of autonomous robots.

Slide 13: Research Network

To reinforce their technical lead, ANYbotics lists its research partners, including Oxford, NVIDIA, UCL, and McGill. They also highlight being a DARPA Challenge Winner , which is a significant accolade in the robotics community, proving their algorithms can handle the most difficult subterranean environments.

Slide 14: Team and Leadership

The leadership team is presented with a mix of technical and business backgrounds. CEO Dr. Péter Fankhauser has 12 years in robotics, while CFO Fredrik Isler brings 9 years of M&A and finance experience. The slide notes that 35% of the 90-person team hold PhDs, emphasizing the high barrier to entry for their R&D.

Slide 15: Competitive Landscape

The competitive matrix is clear. ANYbotics places itself in the top-center, combining "superior mobility" with "industrial-grade certification." They contrast themselves with Boston Dynamics (which they claim lacks Ex-certification and has weaker ingress protection) and Unitree (which they label as a low-cost platform with no autonomy).

Slide 16: Go-To-Market Strategy

The company uses a hybrid sales model. Direct sales are used for key customer contact, while indirect sales (resellers, system integrators, and industrial service providers) are used to scale internationally. They offer two revenue models: CAPEX & SaaS and Robot-as-a-Service (RaaS) , allowing customers to choose between owning the asset or paying for the service.

Slide 17: Financials and Fundraising

This slide contains charts for Sales & Profitability and CAPEX. While the specific numbers are redacted in this public version, the visual trend indicates a significant ramp-up in sales following the Series B. The slide also lists milestones for 2023 and 2024, showing a clear roadmap for the use of funds.

Slide 18: Voice of the Customer

The penultimate slide features testimonials and endorsements from industry leaders. Although the specific quotes are blurred, the layout suggests strong social proof from the very companies (Oil & Gas, Chemicals) mentioned in the value case slide.

Slide 19: Conclusion

The deck ends with a simple contact slide, reiterating the founders' details and inviting the viewer to subscribe to their newsletter. It maintains the clean, professional branding seen throughout the presentation.

What ANYbotics AG Does Well

The ANYbotics deck is exceptionally strong at defining a niche . While many robotics companies try to be everything to everyone, ANYbotics focuses relentlessly on "Industrial Inspection." By highlighting the Ex-certification on slide 7 and slide 15, they effectively build a moat around their business. Investors understand that in industries like Oil & Gas, you cannot simply use a consumer-grade robot; the certification is the product.

Furthermore, the quantification of ROI on slide 9 is a masterclass in B2B pitching. Instead of talking about 'efficiency,' they talk about '$200-500k cost per incident' for unplanned downtime. This speaks directly to the bottom line of the industrial giants they are targeting.

What is Missing from the ANYbotics AG Deck

While the deck is comprehensive, it omits detailed unit economics . We see that they have a RaaS model, but we don't see the CAC (Customer Acquisition Cost) or the LTV (Lifetime Value) of a single robot unit. For a Series B hardware company, investors would typically want to see the payback period for a single robot, especially given the high R&D and manufacturing costs associated with specialized hardware.

Additionally, the regulatory roadmap is implied but not detailed. While they mention Ex-certification, they don't discuss the challenges of international regulatory variations or the timeline for achieving these certifications in new markets like the US or Asia, which could be a significant hurdle for global scaling.

What Other Founders Can Copy

Founders should emulate the problem-solution-proof structure used here. ANYbotics starts with a massive macro problem (labor shortage), offers a specific technical solution (ANYmal X), and then provides overwhelming proof (DARPA wins, ETH Zurich heritage, $150M in LOIs). This logical flow makes the $50M ask feel like a natural next step rather than a risky bet.

The competitive matrix on slide 15 is also worth copying. Instead of a generic 'check-box' grid where the startup has all the checks and competitors have none, ANYbotics uses a nuanced map that acknowledges the strengths of others (e.g., Boston Dynamics' mobility) while highlighting a specific, unaddressed need (industrial certification) that only they fill. This level of honesty builds significant trust with sophisticated investors.

Frequently asked questions

What is the primary problem ANYbotics is solving?
According to slide 3, the company addresses three main industrial pain points: a workforce shortage (1.5 million unfilled roles by 2030), limited productivity due to $270 billion in annual downtime costs, and human error, which is the leading cause of industrial accidents. They position autonomous robots as the solution to these systemic inefficiencies.
How does ANYbotics differentiate itself from competitors like Boston Dynamics?
Slide 15 explicitly compares ANYbotics to Boston Dynamics, Unitree, ExRobotics, and Taurob. The key differentiator is 'industrial-grade certification.' While Boston Dynamics is described as a 'market-agnostic mobility platform' with weak ingress protection (IP54), ANYbotics offers an IP67-rated, Ex-certified solution specifically designed for hazardous industrial environments where competitors cannot legally operate.
What is the scale of their commercial traction?
Slide 10 shows significant commercial progress, reporting an install base of robots already in the field and a sales order history with a steeply upward-curving trend line. Most notably, they claim over $150 million in Letter of Intent (LOI) volume signed with Early Adopter Program (EAP) customers for scaling between 2023 and 2025.
What is the 'ANYmal X' and why is it important?
The ANYmal X, featured on slide 7, is the company's specialized hardware variant. It is highlighted as the world's only legged robot with Ex-certification, meaning it is safe to use in potentially explosive atmospheres common in the Oil & Gas and Chemical industries. This certification is a high barrier to entry that protects their market share in heavy industry.
What does the team composition look like?
The leadership team, detailed on slide 14, is heavily academic and technical. It includes CEO Dr. Péter Fankhauser (Robotics PhD, ETH Zurich) and several other PhDs. The broader team consists of 90 FTEs, with 35% of the R&D staff holding PhDs, emphasizing a 'world-class' technical foundation for their AI and hardware development.
Cover slide of the ANYbotics AG pitch deck
ANYbotics AG pitch deck, slide 1

ANYbotics AG pitch deck: the facts

Company
ANYbotics AG
Slides
19
Sector
Hardware & Robotics

ANYbotics AG pitch deck PDF

The full ANYbotics AG deck is embedded on this page and can be read slide by slide in the browser — no download or account required. Each slide is covered in the breakdown above.

What the ANYbotics AG pitch deck was used for

This deck is the Series B fundraising presentation for ANYbotics AG, a Swiss ETH Zurich spin‑off that builds the ANYmal family of autonomous four‑legged robots for industrial inspection and maintenance. It was used around May 2023 for a $50M Series B round focused on scaling deployments of legged autonomous robots in heavy industrial environments such as oil & gas, power, and manufacturing facilities. The slides emphasize the company’s robotics research heritage since 2009, its ANYmal product’s AI‑powered autonomy, and quantified ROI from reduced downtime, safer inspections, and higher‑frequency data collection. Funds from the round were targeted to scaling international deployments, adding new capabilities, and strengthening their leadership in robotic inspection solutions.

Business model: Sells and deploys autonomous four‑legged inspection robots (ANYmal family) and related software/services to industrial customers (e.g., oil & gas, power, manufacturing) for remote, automated inspection and maintenance of complex facilities.

Round
Series B
Year
2023
Raised
$50M Series B funding round announced on 16 May 2023.
Lead investor
Walden Catalyst and NGP Capital co‑led the Series B round.
Investors
Walden Catalyst, NGP Capital, Bessemer Venture Partners, Aramco Ventures, Swisscom Ventures, Swisscanto Private Equity, EquityPitcher Ventures, Verve Ventures
Founded
2016
Founders
Samuel Bachmann, Remo Diethelm, Péter Fankhauser, Hanspeter Fässler, Christian Gehring, Marco Hutter, Andreas Lauber, Roland Siegwart
Headquarters
Zurich, Switzerland
Industry
Industrial robotics / autonomous inspection robots

Total funding: More than USD 130m raised since inception (across all rounds as of 2025).

Use of funds as presented: Scale international deployments of ANYmal robots, deliver on more than $150m in preorders (particularly for ANYmal X), grow headcount and expand into additional markets, and further develop product capabilities to strengthen its position in robotic inspection solutions.

What happened after the ANYbotics AG deck

ANYbotics successfully closed a $50M Series B round in May 2023 and continues operating as a growth‑stage private company, expanding global deployments of its ANYmal autonomous inspection robots and growing its team and international footprint.

What the ANYbotics AG deck got right

What could have been stronger

How an investor would read this deck

What draws attention

Risks that stand out

Questions this deck invites

What founders can take from the ANYbotics AG deck

ANYbotics AG pitch deck: common questions

What does ANYbotics do?

ANYbotics is a Swiss robotics company spun out of ETH Zurich in 2016 that develops autonomous four‑legged robots, branded ANYmal, to perform inspection and maintenance tasks in complex industrial facilities such as oil & gas, power, and manufacturing plants. Its robots are designed to navigate challenging terrain, collect visual, thermal, acoustic, and gas data, and support remote operations to improve safety and reduce downtime.

How much did ANYbotics raise in its Series B and who invested?

ANYbotics raised a $50M Series B round announced on 16 May 2023. The round was led by Walden Catalyst and NGP Capital, with participation from Bessemer Venture Partners, Aramco Ventures, Swisscom Ventures, Swisscanto Private Equity, EquityPitcher Ventures, Verve Ventures, and other existing investors.

What is the funding from this pitch deck being used for?

The company plans to use the $50M Series B funding to scale international deployments of its robots, deliver on a large backlog of product pre‑orders, develop new capabilities, and strengthen its position in robotic inspection solutions for heavy industry. Sifted reports that part of the capital is earmarked to fulfill more than $150m in preorders for the ANYmal X model and to expand into new markets and grow headcount.

Who founded ANYbotics and when?

ANYbotics was founded in 2016 in Zurich as a spin‑off from ETH Zurich’s Robotic Systems Lab. The founding team comprised eight roboticists: Samuel Bachmann, Remo Diethelm, Péter Fankhauser, Hanspeter Fässler, Christian Gehring, Marco Hutter, Andreas Lauber, and Roland Siegwart. Péter Fankhauser is co‑founder and CEO.

What products does ANYbotics offer, and how do they work?

ANYbotics’ main product line is the ANYmal series of autonomous four‑legged robots, including variants such as ANYmal C and the explosion‑proof ANYmal X for hazardous environments. These robots perform autonomous inspection missions using onboard AI, collecting multi‑modal data (visual, thermal, acoustic, gas) and integrating with digital twin and analytics platforms from partners like Cognite, AWS, and Microsoft.

Sources

Funding and outcome facts on this page were researched on 2026-08-22 from the pages below.

ANYbotics AG pitch deck slides

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What each slide of the ANYbotics AG pitch deck says

Slide 3

WORKFORCE LIMITED HUMAN SHORTAGE PRODUCTIVITY ERROR _ 1.5 million unfilled plant operator Undetected issues lead to downtime Is the leading cause of ‘positions until 2030 in the EU alone costs of $270 billion each year most industrial accidents But things are changing.

Slide 5

Autonomous mobile robots bridge the I skill gap required to operate plants without human presence. Digital Twin Big data contextualization in'digital twin generates actionable insights Measure Full-coverage plant insights for data analytics and equipment health monitoring Act Real-time remote plant management and automated routine maintenance tasks LGN AUTONOMOUS AUTONOMOUS INSPECTION \ AUTONOMOUS MAINTENANCE 3 INDUSTRY Autonomous robots continuously Mobile manipulation automates mainmonitor full infrastructure tenance tasks and equipment handling S ASSISTED ASSISTED EXAMINATION ™ : ASSISTED INTERACTION Operators control drones and robots Remote controlled mobile robots 2 OPERATION as tools…

Slide 6

Al AGILITY LARGE-SCALE AUTONOMY Pioneering Al-powered motion control capable of navigating the Automates tasks in large-scale facilities while leaving the most complex terrain environment untouched World-leading robotics technology since 2009 2008 2012 2015 Robotics research Worlds first agile Patented robotic P electrical fourdrive technology ETHziirich leguadrohot 6 ANYbotics 2016 ANYbotics spin-off MwWhotics SUPERHUMAN INSPECTIONS Brings Al to the real world to uncover invisible risks beyond human perception & accuracy 2018 Worlds first autonomous offshore inspection robot 2020 First robot sales to industrial customers atls Cognite aws, Microsoft INTEGRATED'WITH ECOSYSTEM LEADERS Integra…

Slide 8

SOLUTION 7/ Integrating ANYmal — A better way to collect better data 01 PLANINSPECTION MISSIONS One-day setup Plan inspection missions in adigital plant model or by quiding the robot once through the facility. 8 // ANYbotics On-device autonomy Performs inspections autonomously without constant data connectivity for low-cost integration. 02 SCHEDULE & EXECUTE Safely shares workspaces Navigates complex facilities while reliably avoiding people and objects in its surroundings. Auto battery recharging Operates 2 hon a single battery charge. Automatically returns to docking station for recharging. MWbotics 03 PROCESS & ISSUE TRACKING Inspection analysis Analyses visual, thermal, acoustic, gas, a…

Slide 9

tantial cost savings through robotic inspectio More Faster Monitoring Personel Accuracy & insights reporting frequency safety consistency CUSTOMER VALUE CASES POWER OFFSHORE OIL & GAS MANUFACTURING Unplanned Inspection during Asset damage Remote Gas leakage 3D asset Frequent downtime operation prevention operation detection scanning sampling $200-500k $200-300k $0.5-1.5m $30-50k $5-10k $100-150k $200-300k cost per incident revenue loss p. hour cost per incident cost per trip cost per day cost peryear cost per year Early detection of Robot access during Regular thermal and Remote interaction Gas leakage monitoring Up-to-date 3d models Regular sampling during anomalies prevents operation redu…

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