Enzo Wälchli

ANYbotics

Joined ANYbotics in 2021, when it was just tech & research, and since then orchestrated the full shift to an industrial company, building the commercial engine from scratch 🚀

Today, I am leading all commercial teams (~50 people), incl. go-to-market, marketing, sales, partnerships, and customer success 🤖

Key achievements over last 3 years:
▪︎ Defined and continuously refined our commercial strategy
▪︎ Roll out holistic go-to-market approach
▪︎ Shaped marketing, sales, partnerships, and customer success processes 
▪︎ Developed commercial org from 7 to 50+ FTE
▪︎ Created a kick-ass team spirit 😍
▪︎ Delivered commercial traction to raise Series B
▪︎ Grew bookings from 6-digit to 8-digit, on path to 9-digit

And the #robotics journey just started 🚀🦾

Chief Commercial Officer (CCO)

Hilti Schweiz

As Head of Product & Trade Marketing, I led a team of 9 employees, responsible for all trade-, channel-, and product-marketing acitivities, as well as all sales trainings and new employee onboardings.

• Overall responsibility for development, communication and execution of our trade strategies and value propositions in our key trade applications
• Tie down change from product-centric to customer/trade-centric marketing and redesign established processes to foster a closer sales-marketing collaboration, while keeping ownership for all product launches in the market (over 60 p.a.)
• Ensure competence build-up in sales force and new employees through strong sales trainings and internal academy setup
• Build a great team with a strong performance culture to deliver tangible results and have fun along the way

Head of Product & Trade Marketing

Reporting directly to the general manager, I had the overall responsibility to roll out our new strategic, opportunity-oriented go-to-market approach in Switzerland  as lead market for the global project (Project Evolution was the biggest global Hilti initiative in decades).

• Includes roll-out of salesforce.com to over 350 users in sales, engineering, customer service, retail, and marketing functions.
• Close sparring partner for global and regional rollout teams with Switzerland being among the biggest countries to go-live in Wave 1.

Project Leader Go-to-Market & Digitalization

For two years, I led the sales team for building construction in Northwestern Switzerland:

• Manage 7 account managers and recruit, develop, and advance talents
• Execute the segment strategy in my region and grow the 9 million CHF P&L
• Foster relationships and increase engagement within the customer portfolio

I restructured the region, took key staffing decisions (60% new hires) and successfully built a high performing team within the first 12 months. 

Together with the team improved customer trust in Hilti and substaintially increased engagement and loyalty, achieving the second highest sales growth (both im absolute and relative terms) of all 27 Swiss sales teams in 2019 (23% growth y-o-y) and signing & delivering the biggest fleet management contract of 2019.

Area Sales Manager

In my first sales role, I managed relationships with 250+ SHK / HVAC clients in Central Switzerland with great success within 9 months: 

• Achieved strong growth in net sales (6x) and tool contract business (2.5x)
• Coached fellow account managers in solution selling after a few months in the field

Account Manager / Sales Rep

Sulzer

Reporting directly to the Group Executive Committee (Chief Marketing Officer), I was responsible for the group-wide Go-to-Market and Sales Force Effectiveness projects:

• KAM: Implemented the first group-wide Key Account Management approach
• CRM: Led the project to develop the business requirements and specs for the Sulzer Global CRM
• Value Pricing: Developed, programmed, and rolled-out a value-pricing model for capital project business

Strategic Marketing Manager

I started as a junior and got promoted to manager after 12 months. Key topics:

• Supported executive management on strategy development for group, division, and BU level
• Evaluated merger & acquisition targets, built financial models, and participated in acqusition execution
• Lead the sales work stream during the post merger & integration (PMI) project of the new rotating equipment service division (100 locations, 3600 employees, 800m CHF sales)

Corporate Development Manager

Various Large Corporates

• Corporate Controlling @ Hilti Group in Schaan, Liechtenstein (Jul 2012 - Oct 2012)

• Mergers & Acquisitions @ Sulzer Group in Winterthur, Switzerland (Mar 2011 - Dec 2011)

• Private Banking @ Credit Suisse in Zürich, Switzerland (May 2010 - Feb 2011)

• Chemical Logistics @ Bertschi Ibérica in Tarragona, Spain (Apr 2007 - Aug 2007) - learned Spanish in vivid business environment

Various Internships in Controlling, M&A, Banking, and Logistics

🇨🇭 Europe's #1 Robotics Voice 🤖 | 𝗔𝗡𝗬𝗯𝗼𝘁𝗶𝗰𝘀 𝗖𝗖𝗢 | CRO, CSO, CMO | Happy dad of 👧🏼+👶🏼 | 🄵🄾🄻🄻🄾🅆 🄼🄴 🔔 to stay up to date on #robotics #AI #deeptech

🔹️𝗪𝗼𝗿𝗹𝗱𝘄𝗶𝗱𝗲 #𝟭 robotics voice on LinkedIn 🤖
🔹️𝗖𝗵𝗶𝗲𝗳 𝗖𝗼𝗺𝗺𝗲𝗿𝗰𝗶𝗮𝗹 𝗢𝗳𝗳𝗶𝗰𝗲𝗿 𝗼𝗳 𝗔𝗡𝗬𝗯𝗼𝘁𝗶𝗰𝘀, Europe's fastest growing physical AI scaleup 🚀
🔹️𝗧𝗵𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗺𝗶𝗻𝗱 behind taking robotics mainstream 🤝

As 𝗖𝗵𝗶𝗲𝗳 𝗖𝗼𝗺𝗺𝗲𝗿𝗰𝗶𝗮𝗹 𝗢𝗳𝗳𝗶𝗰𝗲𝗿 𝗼𝗳 𝗔𝗡𝗬𝗯𝗼𝘁𝗶𝗰𝘀, I am in charge of all commercial decisions in order to establish ANYbotics as the worldwide leading provider of highly mobile and fully autonomous industrial robots.

I am also the 𝗳𝗮𝘀𝘁𝗲𝘀𝘁 𝗴𝗿𝗼𝘄𝗶𝗻𝗴 𝗮𝗻𝗱 𝗺𝗼𝘀𝘁 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗲𝗱 𝗿𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝗶𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲𝗿 𝗼𝗻 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻, with over 100 million post impressions in 2024. I educate the world about the latest trends in #robotics and #industrialautomation—I truly believe in the revolutionary nature of physical AI, a.k.a. robotics.

My background:

🔸️15 years in B2B #marketing, #sales, and #customersuccess
🔸️ Learned in top corporates, applying in Europe's fastest growing robotics scale-up
🔸️ Seen all hierarchy levels: staff, middle mgmt, and now C-level

My core attributes: 

🔶️ Grit, getting things done
🔶️ Enthusiast with positive attitude
🔶️ Creator & out-of-the-box mindset
🔶️ Urgent curiosity
🔶️ Yes mentality - Solution, not problem
🔶️ Cooperative leader, driving inclusive team-spirit
🔶️ Fast thinker, strong analytics
🔶️ Making the complex simple
🔶️ Business acumen with tech literacy
🔶️ Strong believer in people development

My key achievements: 

👍 Scaled commercial team at ANYbotics from 7 to 50+ and increased bookings from 6-digit to 8-digit over the last 2 years, continuing to grow 2–3x each year

👍 Building and continuously refining entire go-to-market setup and related processes in dynamic scale-up environment at ANYbotics

👍 Directly hired over 50 people in my career, with a near-100% success rate in selecting top performers (and great personalities) and a strong focus on diversity and building a high-performance organization (HPO)

👍 Managed lead-market rollout of $200m-heavy salesforce.com CRM implementation at Hilti

👍 Ranked #2 (out of 27) for best sales team performance as Sales Director at Hilti and won multiple sales & marketing awards

👍 Implemented several group-wide sales force effectiveness programs at Sulzer, incl. sales stream owner during 1bn post-merger integration

😍 Proud dad of two amazing girls 👧🏼👶🏼

Beyond family and work, I like having a drink with friends 🍹, cooking and eating delicous food 🔪, and learning new things 💡.

As a member of ANYbotics’ executive leadership team, I lead all commercial teams & activities, incl. marketing, business development, strategic alliances & partnerships, direct sales, custom projects, field engineering, and customer success.

🇨🇭 #Scaleup Executives Breakfast 🦄 2025: >150 members, 5 events 🚀 Very high NPS 😍 #Flywheel starts turning ♻️

Yesterday was 2025 scaleup event #5 - the last of this year:

2x dinner
2x breakfast
1x summit

Another highlight 😍 Why? 2 things:

1️⃣ 100% curated events: Only Execs of Switzerland's premier scaleups. So these people are THE leaders of our #startup ecosystem 💪

2️⃣ Time is scarce - they all have urgent other things ongoing. Not only 100 other event invites, also year-end, Xmas, etc. But they still come and feedback is top:

🗨️ "This was great, I'll join again next time" 

🗨️ "I had a super interesting discussion" 

🗨️ "We both are going through a similar challenge" 

That's exactly why I keep investing time in "scaling" the scaleup chapter 😏

✅ People get the VALUE of it
✅ Ecosystem is RIPE for scale
✅ Flywheel starts TURNING

Over the next few years, the #Swiss startup ecosystem will enter it's next stage. 

It's great to be at the center of this development with this community.

LFG 🏃‍♂️

Thanks to Swisscom Ventures / Tina Willibald for hosting this breakfast at their Pirates Hub and to Kristina Kaiser / Swiss Startup Association for the stellar org 🙏

Cheers
Enzo


👉 Follow Enzo Wälchli for #scaleup and #deeptech 🚀

CCO at ANYbotics 🤖 | Deeptech Operator | Built & Scaled GTM from 0 to 10M+ | Helping Tech Founders Crack the Commercial Code

🔥🔥 Swiss #Robotics is on fire 🤖 Launched a founder community 48h ago, now already 50+ members, growing fast 🚀 Switzerland is second to none in Europe when it comes to robotics 🇨🇭

I like connecting people. And I believe there is tremendous value of the right communities 🚀

Building and scaling a #deeptech company is incredibly hard and against all odds.

Being able to connect with people with the same challenges day in day out is incredibly valuable.

And as Metcalfe proclaimed nearly 50 years ago: The value of a network grows exponentially with the amount of its users. 

So let's go, #Swiss Robotics :)

In addition of already having a leading position in Europe in Deeptech (# of companies, % share of deeptech investments, invest per capita, etc.), Switzerland also boosts top unis with ETH Zürich, EPFL, and University of Zurich, putting more and more #talent and #tech into the ecosystem.

Here, I say it:

There is no better place to start your #robot or #drone startup than in 🇨🇭 Switzerland 😍

LFG 🏃

Cheers 
Enzo

PS: If you are a robotics/drone HW and/or SW startup cofounder or c-level and want to join, just let me know.

--------------------------
👉 Follow Enzo Wälchli for real insights on scaling #deeptech and #robotics 🤖
--------------------------

♟️ #Industry isn’t a board game. It’s unstructured, chaotic, and constantly shifting. It's the real #robotics game 🤖

Factories don’t give you perfect rules, perfect symmetry, or clean data.

Robots operate in environments where a 0.05 mm deviation breaks everything, where lighting changes ruin detection, where 14-DOF systems like ABB’s YuMi become brittle instead of useful.

This is why industrial automation has been stuck.

And why what FORGIS just achieved matters.

#FORGIS brought adaptability to a #robot that was built only for precision.

They took a YuMi (no built-in 3D vision, rigid waypoint programming, hyper-sensitive to its surroundings) and made it operate flexibly in a real, unstructured environment.

❌ Not a lab

❌ Not a simulation

✅ A factory-like reality

This is #PhysicalAI finally stepping off the board.

From Deep Blue to AlphaGo, AI mastered perfect games.

But industry is the real game, and it requires intelligence that can handle variation, uncertainty, and atoms, not just bits.

FORGIS just raised $4.5M in 36 hours to build exactly that: 

The orchestration layer for industrial intelligence, a “Windows for factories.”

Plug-and-play, not pain-and-wait.

As a mentor at the HSG START Accelerator, I've been coaching the team and it’s been a true pleasure working with them. Their clarity, ambition, and pace are rare.

Europe needs more of it.

LFG 🏃‍♂️

Cheers
Enzo


👉 Follow Enzo Wälchli for #deeptech and #robotics 🤖

NEURA Robotics

Reporting directly to the CGO, I serve as the Growth Strategy Manager at NEURA Robotics. In this key position, my main goal is to identify and implement strategies to drive business expansion and market penetration.

I support the Chief Growth Officer by offering strategic advice, overseeing cross-functional initiatives, and empowering sub-departments such as Sales, Marketing, Service and Support, and People and Culture to achieve their objectives, and optimize operational efficiency.

NEURA Robotics (founded in 2019 near Stuttgart), is a German deep-tech company with a diverse team working on revolutionary robotics technologies to bring robots and humans closer together under the guiding principle "we serve humanity."

Growth Strategy Manager

Micropsi Industries

As a Deployment Strategist, we collaborate with a team of Engineers, Product Designers, and Sales Reps to deploy our software, MIRAI. We analyze major client challenges, interpret data, and identify product needs and user motivations for optimal impact.

We engage deeply with customer workflows, working with our customer success teams to understand data and product intricacies, aiding scalability.

Head of Deployment Strategy

As the inaugural Customer Success Manager, the unique opportunity to build and shape the Customer Success Department from scratch, focusing on creating effective strategies and fostering strong client relationships was something I really enjoyed. My role also involved productive collaborations with the engineering and product teams.

Artificial intelligence, software, software agents, robotics, robot control software, process prediction, predictive maintenance, and IoT.

CS Manager

GlassDollar

In my role as a Corporate Innovation Manager, I had the privilege of driving forward-thinking initiatives and fostering innovation across various projects with industry leaders like Daimler, Porsche, and BSH. 

My focus was on bridging the gap between traditional practices and innovative solutions, ensuring a seamless integration of cutting-edge ideas into established corporate frameworks.

Corporate Innovation Manager

Siemens Energy

Gas Turbines - Project Management: Innovation Lab

Collaborativ Robot (UR5) Implementation in Combustion Manufacturing.
In charge of planning, coordination and internal financing. Programming of the Cobot in the CAD / CAM environment (NX18), as well as process adaptation in the real working environment.

Digitalization/Paperless Manufacturing - Test reports as a cloud-based app
User-centred prototyping: record user specifications, describing user stories / jouneys, furthermore design, test and validate digital mock-ups (UX/UI with Adobe XD) with users.

Innovation Lab Project Driver

Siemens

Gas Turbines - Project Management: Innovation Lab
Within a Start-up enviroment, the manufacturing team creates new processes and products by indepth knowledge and out-of-the-box-thinking, agile working and fast prototyping (3D printing).

Responsible for the Innovation Lab - PCS / ULN Burner Support Housing.
Leading a team (>10 team members) by planning and monitoring the implementation of the technologies developed by the project. Contributing with the conceptualization, coordinating multi-disciplinary communication and business evaluation.

Innovation Lab Manager

Gas Turbines - Project Lead Factory Planning: Transformation
Transforming the manufacturing operations into modern working cultures, i.e. self-organizing teams, agile working modes and decentralized autonomy. 

Assistance in drawing up business plans, forecasts and budgets. Together with technical experts the development of business presentations for internal investments: cool bearings, housing and rotating components.

Project Management Assistant

Gas Turbines - Combustion Manufacturing: Apparatuses
Cataloguing and prioritisation of assembly fixtures, creating an maintenance and repair catalog and associated with it, developing and implementing an homogeneous concept for apparatuses.

Co-Project Manager Manufacturing / Production Maintenance

Garden Center Rudow - Tree Nursery

E-Commerce. Sales and customer service, coordinating supply logistics, work and process planning, assigning and scheduling of temporary employees.

Nurseryman

GermanyConcierge Incoming & Events GmbH

Event management, booking and sale, reservations, recommendations and arranging for services. Customer care in an international, high-end environment.

Concierge

Wilking & Tarrach Metallbau

Design/Concept and planning, manufacturing of construction elements, supporting structures and general metal processing. Schedule planning and client communication.

Intern

Der Holländer Pflanzencenter GmbH

Sales and customer service, coordinating supply logistics, work and process planning.
Consultant and Salesman

Robotics & AI: simplified | 44.000+ Followers | @micropsi | Ex-Siemens

I’m deeply interested in deep tech startups: 
building, bringing them to market, and scaling. Follow along as I share my journey and what I’m learning along the way.

Ilir Aliu

You need $100 Billion to solve self-driving? Wrong!
A small team in San Diego is doing it with a smartphone chip and a few cameras... for $999. 🧵

Waymo spent $10 Billion. comma.ai spent $18 Million. Who won?

If you want to understand capital efficiency, look at self-driving cars.

The industry is famous for burning cash. Cruise, Zoox, and Waymo have spent a combined $20 Billion+ trying to solve autonomy.

They built "Robotaxis"... $150,000 vehicles packed with LIDAR, geo-fenced to tiny areas, and terrified of rain.

Then there is George Hotz and comma.ai.

Hotz (the hacker who jailbroke the iPhone) took a different bet: Don't build the car. Fix the car people already own.

He built a $999 aftermarket device. You stick it on your windshield. Plug it in. And suddenly, your 2016 Honda Civic has better autonomy than a 2024 Mercedes.

The industry laughed. Then the regulators sent cease-and-desist letters. So Hotz did the most "hacker" thing possible: He open-sourced the code.

Fast forward to today:
- 20,000+ active users.
- 300 Million miles driven.
- #1 Rank from Consumer Reports (beating Tesla and Ford).
- Profitable.

While Big Auto builds "walled gardens," Comma is building the "Android of self-driving." They prove that you don't need billions of dollars to solve hard tech problems. 

You need better code, a community of 1,000+ contributors, and the courage to ignore the "rules" of the industry.

We are watching the Linux moment for robotics happen in real-time.

The "Stakes" are massive. This is a battle for the soul of AI.

Option A: AI is owned by 3 mega-corps who rent it to you for $15k. 
Option B: AI is open-source, runs on consumer hardware, and you own it.

comma.ai  is the only one fighting for Option B.

If you are tired of monthly subscriptions for heated seats, check them out.


Listen to my full interview with CTO Harald Schäfer here:
https://lnkd.in/dsdmM2rC

AI & Robotics | 100k+ | Scaling Deep Tech

Robot models get better only when humans feed them more demos. This one improves by learning from its own mistakes.

pi*0.6 is a new VLA from Physical Intelligence, that can refine its skills through real-world RL, not just teleop data. 

The team calls the method Recap, and from what I can see, the gains are not small.

A quick summary:

✅ Learns from its own rollouts using a value function trained across all data
✅ Humans only step in when the robot is about to drift too far
✅ Every correction updates the model and improves future rollouts
✅ Works across real tasks like espresso prep, laundry, and box assembly
✅ Throughput more than doubles on hard tasks, with far fewer failure cases

What stands out is the structure: 

a general policy, a shared value function, and a loop where the robot collects data, improves the critic, then improves itself again. 

No huge fleets of teleoperators. 
No massive manual resets.

If VLAs can reliably self-improve in the real world, the bottleneck shifts.

Data becomes cheaper. Deployment becomes the real test bench.

Full paper, videos, and method details here:
https://lnkd.in/dgCeZdjT

Most humanoid projects talk about real work.
Very few last an hour on a real line.
This week I saw a case that matters for anyone building robots, perception, or physical AI.
Kinisi deployed its first mobile manipulation system into a live recycling facility. Not a demo. Not a staged test. A real production line with real output pressure. 

Why this matters if you want robotics to deliver real value on your floor:

• Handles mixed glass with random poses and no fixed fixtures.
• Runs real grasp selection under noise, vibration and production variability.
• Maintains throughput while avoiding breakage on a delicate material.
• Shows mobile manipulation doing actual shift work instead of controlled lab runs.

Kinisi published a video that shows what the robot sees and how sensor data turns into action. This is the part most teams struggle to explain to customers, so the educational angle is useful for anyone working on adoption. 

On top of this, the team signed a pilot with a global automotive manufacturer to explore humanoid use cases in production. 

The direction is clear. 

Wheeled mobility (not legs!) plus strong perception seems to be shaping a large part of industrial humanoids right now. 

I know Brennand from earlier conversations and from our podcast session, and I am always glad to see European teams push the category forward. Wishing the Kinisi team continued success.




—-

Weekly robotics and AI insights.
Subscribe free: http://scalingdeep.tech

A simple CNC machine. Wood. A rotating tool. And yet the pattern shifts from circles to perfect hexagons with a level of accuracy most factories still struggle to hit.

I worked five years in manufacturing at Siemens, and this is the part people often overlook.

The real magic is not new or loud.

It is stability. 

Repeatability. 

Tool paths that were tuned forever. Precision that just keeps working.

Robotics is in a hype cycle right now, but manufacturing has delivered quiet perfection long before anyone talked about foundation models.

Sometimes the most interesting engineering is the part that does not ask for attention.



—-

Weekly robotics and AI insights.
Subscribe free: scalingdeep.tech

Humanoids learn dexterity from videos? Wrong!
Make a fist, cameras go blind. A tiny Dutch startup fixed what billion-dollar labs couldn’t. 🧵

In 2014, Stephan van den Brink was a tax consultant at Ernst & Young. He had a stable career in fiscal law. But he couldn't stop thinking about Virtual Reality.

He saw a gap: "We have headsets to see, but no way to touch."

So he quit. He founded MANUS™ to build the ultimate VR gaming glove. They flew to E3 in Los Angeles. They slept in cheap motels, and snuck their booth equipment past security because they couldn't afford the union fees.

They built a sleek, futuristic glove for gamers. And nobody bought it.

Gamers didn't want to wear gloves. It was too much friction. Most startups would have died there. Manus didn't. They pivoted.

Stephan and his team realized that while gamers didn't care about finger precision, engineers did. 

• NASA needed it for simulation. 
• Hollywood needed it for motion capture. 
• And eventually... Robotics needed it for AI.

Today, the Humanoid Robot revolution is built on data. 

To teach a robot how to fold a shirt or crack an egg, a human has to do it first (Teleoperation). Cameras (Computer Vision) often fail because fingers block each other ("occlusion").

Manus had spent 10 years perfecting Electro Magnetic Field (EMF) tracking. It doesn't use cameras. It uses magnetic fields to know exactly where a finger is, with millimeter precision, even in the dark.

When Tesla and other giants started building humanoids, they didn't build their own gloves. They called Manus.

I had Stephan on the podcast to discuss this incredible 10-year journey. We talked about:

The hustle, how to launch a hardware startup with no money, on how to survive when your target market (gamers) rejects you, why magnetic fields beat computer vision for ground-truth data, and last but not least:

How human dexterity is being "uploaded" into robots.

This is a masterclass in resilience and finding "Product-Market Fit" in the most unexpected places.

Listen to the episode here:
https://lnkd.in/dD68NUqX

And thanks to Dove Feng for making this happen!

Most robotics startups never make it out of the lab.
This one raised $20M and deployed in 100+ factories.
[If you build robotics, save this 🧵]

This is one of the clearest lessons I’ve seen on execution vs technology.
[All lessons summarised at the end 👇)

Three founders (Rudy Cohen, Louis DUMAS, and Albane Dersy) built a factory-first robotics company now deployed across Europe, the US, and Japan.

They had:

• No hardware background
• No manufacturing network
• No industrial reputation

But they raised $20M and deployed in 100+ factories by doing what most founders avoid:

They treated execution, not tech, as the product.

Most deep-tech teams make the same mistakes:

• Talk to 5 customers, not 50
• Polish the product for years
• Expand only when a country “is ready”
• Treat deployment as a support function

Inbolt did the opposite.

Here’s where it started.

Not in a lab.
Not in a research paper.

But in a bus maintenance shop, watching workers struggle with daily tasks.
Real pain.
Real chaos.
Real constraints.

Since then, the three founders have spent more time on factory floors than most executives will in an entire career.

And the magic was the mix.

• Rudy with deep engineering roots
• Louis with aerospace and robotics expertise
• Albane with operations, sales, and commercial execution

That combination is what made the company work.

The execution lessons:

1. Talk to dozens of customers.
Not five.
Factories are fragmented.
You need operators, maintenance, quality, integrators… all of them.

2. Sell early.
They closed deals before the company was even fully set up.

3. Pivot based on customer pull.
Their early idea guided human workers.
Customers said, “Put this on robots.”
So they did.

4. Pair technical excellence with operational excellence.
The tech handles unstructured environments.
Albane built the systems to deploy it fast and reliably.

5. Deployment is a strategic weapon.
Most teams outsource it.
They didn’t.

6. Go global early.
Not because it’s cool.
Because automotive OEMs operate everywhere.

7. ROI > AI.
Factories don’t care about “intelligence.”
They care about uptime, cycle time, and payback.

This is how a small team with no manufacturing roots outpaced better-funded competitors.

If you want the deeper story, listen to my full conversation with
co-founder and COO Albane Dersy.

❗ It’s one of the best masterclasses I’ve recorded
on building and scaling robotics in the real world.

🎥 Full episode: https://lnkd.in/dHS5WwNa

Robots that can learn new skills without robot data. Sunday Robotics shows a different path. 

That is the idea behind ACT-1.

Instead of collecting thousands of teleoperated robot demos, they train a robot foundation model from human motion alone. 

No robot in the loop, just people wearing a glove that mirrors Memo’s hand.

Why this matters:
If you can learn from human motion at scale, you remove the biggest bottleneck in home robotics. You do not need fleets of teleop robots in real kitchens or bedrooms. You only need people showing skills with the glove.

What ACT-1 can already do:
	•	Clean a full dinner table
	•	Fold laundry for hours
	•	Assemble boxes
	•	Make espresso with long, uninterrupted runs
	•	Improve through RL (their π*0.6 model more than doubled throughput)

The interesting part is the data pipeline.

More than 500 people collected human motion demonstrations with the glove. The system builds a general understanding of objects and simple physics from that data, then transfers it to Memo.

If you want to dig into the technical write-up:
https://lnkd.in/dfWwST7M

Applications for the 2026 home beta (50 households) are open:
https://lnkd.in/dciP_gSp



——

Weekly robotics and AI insights.
Subscribe free: scalingdeep.tech

Bioinspired robot:
Fly - Roll - Walk - Crawl [Paper ⬇️]

Multi-Modal Mobility Morphobot (M4), a revolutionary robot inspired by nature's most adaptable creatures.

✅ Capable of multiple forms of movement: flying, rolling, crawling, and more.
✅ Features adaptive appendages that function as wheels, thrusters, and legs.
✅ Equipped with advanced sensors and autonomous capabilities for navigating complex terrains.

M4 shows the future of robotic locomotion, seamlessly adapting to diverse environments.

📍Paper: https://lnkd.in/ev9p9HDT

Caltech: https://lnkd.in/dgH7kKZH

Funded by 
NASA Jet Propulsion Laboratory






—-

Weekly robotics and AI insights.
Subscribe free: scalingdeep.tech

Hardware Production 🤝 Robotics

But these motors... are CRAZY synced:

CNC motor synchronization helps make sure that different motors in a machine work together smoothly so that the machine can cut and shape materials with perfect accuracy.

This is really important for making sure the machine does its job correctly.

✅ Helps the machine's parts move together perfectly, reducing mistakes and making things more accurate.

✅ Prevents the machine from getting damaged by keeping everything aligned.

✅ Allows the machine to work faster by making sure the motors are in sync.

Synchronized CNC motors make sure machines work better, last longer, and create more precise products.





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Weekly robotics and AI insights.
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Music tools usually live on flat screens.
This is an Apple Vision Pro app that turns music production into a modular, spatial system.

Sounds are blocks. 

Arrangements become structures. 

The composition exists as a physical object in the room, not a timeline on a screen.

OPERATOR treats music as something you build in space.

What stands out is not complexity, but restraint. Simple blocks, a snake-like sequencer, and interactions that feel closer to assembling than editing. 

No DAW metaphors. 

No menus overload.

It feels less like software and more like a spatial instrument. 

A good example of how XR can rethink creative tools instead of porting old ones into 3D.

Built by FUN AND AWE  
Saying hi to founder Maxim Zhestkov ! 




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Weekly robotics and AI insights. 
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taplio

The Battle

Enzo Wälchli

Ilir Aliu

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Enzo Wälchli's LinkedIn Performance

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