Something magical, and very real, is taking shape in the Bay.
Join us at Matter’s first factory in Sunnyvale for Atoms & Autonomy, an introduction to what we’re building, why it matters, and where robotics manufacturing is headed.
Matter is building the manufacturing platform for the robotics era, combining AI-native software, modular automation, and next-generation connected factories into a unified Physical AI stack. We partner with robotics and advanced hardware companies to move from design to production faster, with manufacturing systems built for speed, flexibility, and autonomy from day one.
This is a new production model for intelligent machines.
Join us for an evening of drinks, bites, and conversation with inventors, builders, and operators - rejoice, reflect and dream with us as we adventure to build America’s autonomous manufacturing infrastructure.
Invite-only event.
Vibe-manufacturing is coming to US.
Just watched @makematterco demo MatterOS - the entire manufacturing workflow on one seamless platform:
• Pre-SOP: DFM, process planning, simulation, sourcing,…
• Post-SOP: MRP, shop floor orchestration, cell config, genealogy, quality, Andon,…
The kicker? ZERO purchased software. No Dassault. No SAP. No Rockwell.
Built end-to-end in-house, in 5 months, by a handful of ninjas (Ex-@Tesla, @Rivian , @Apple , @GoogleDeepMind with deep domain expertise. This is what happens when the team building it has actually run factories.
MatterOS is built to enable autonomous manufacturing. The Tesla FSD playbook applied to manufacturing - and it’s already working.
@adiprasad27
Just spent a week in China deep diving the general-purpose robotics ecosystem.
Key takeaway: while we’re vibe-coding… China is vibe-manufacturing !
A few things that stood out:
1) China has cracked “vibe manufacturing”
Startups are spinning up hardware like we spin up code.
AGIBot (3 years old) has already built ~10,000 robots.
2) The entire stack is being built in parallel.
Every serious robotics company is full-stack: hardware + controls + foundation models.
3) Data factories are real and massive.
Hundreds to thousands of people teleoperating robots 24/7 to generate training data.
In some cases, the government is literally buying robots, generating data, and selling it back to companies.
4) The supply chain is overwhelming.
Foxconn, BYD, LYitech - everyone is plugged into the same dense, hyper-responsive manufacturing base.
This is why iteration speed is so high.
5) Structural paradox: Labor is both tailwind and headwind.
Cheap, abundant skilled labor powers the supply chain…
But it also makes automation harder to justify domestically.
→ Weak ROI for robotics inside China
→ Strong incentive to export
6) Hardware is impressive. Intelligence is not (yet).
Amazing kinematics—dancing, acrobatics.
But limited ability to execute simple instructions reliably.
7) Everyone is moving up the stack
Every major CM/ODM is building their own robots—humanoids + wheeled.
Today’s suppliers will be tomorrow’s competitors.
8) Dexterity remains unsolved
Lots of prototypes. Very few real demos.
So what does this mean?
Physical AI requires strength in both bits and atoms.
Right now:
China → dominates atoms (manufacturing, supply chain, scale)
US → leads in bits (models, autonomy, software)
We are dangerously behind in atoms.
If we want to compete, incrementalism won’t cut it.
We need to:
- Build depth and breadth across the electro-mechanical supply chain
- Scale CMs / ODMs / JDMs domestically
- Move 100x faster, think 100x bigger on scaling manufacturing infrastructure
Hats off to those doing their part to advance domestic manufacturing supply chain - @makematterco, @VulcanForms, @brightmachines, @thebotcompany@gs_ai_ , @MytraUS, @mind_robotics, @tesla_optimus, @atomic_inc, @Senra_Systems, @pathrobotics, @machinalabs_,@figure_robot, @HadrianInc , @agilityrobotics
The era of software-plus-hardware is over.
You can’t build the future of manufacturing by bolting a dashboard onto a legacy machine or by throwing software at a fragmented shop floor.
AI layered on top of disconnected data is blind. The winners won’t be software firms or traditional hardware OEMs. They will be Physical AI firms.
At Matter, we believe the factory, the product, and the data model are a single organism.
🔎 The problem: SaaS proliferation has created "islands of data."
⛔ The bottleneck: Legacy ERPs are built for stability, not the rapid adaptation AI requires.
⚙️ The solution: A unified architecture where hardware and software are designed together, from the first concept sketch to the product in the customer's hands.
Physical AI isn’t a feature you add. It’s the operating principle of the modern factory. We aren’t building a stack of apps; we’re building a software-defined manufacturing system where intelligence is native and end-to-end.
The future belongs to those who treat the physical and digital as one.
The physical world is entering its AI moment.
We’re building autonomous factories to re-industrialize America - faster, more flexible, and software-defined from day one.
New website is live 👇
https://t.co/UEhv4IaHf9
Happy Holidays from Matter 🎄
Grateful for the builders, operators, and engineers rethinking how the world makes things.
Onward to an autonomous, resilient manufacturing future.
DM me if you are looking to manufacture and assemble drones in the US.
We at @makematterco are booking contract manufacturing capacity for 2026 and 2027.
@makematterco is diligently working to resurrect the American industrial golden era, but now this time with autonomous factories - speed, scale, and quality combined.
🚀 Ready to take on the boldest, most rewarding challenge of the century?
If you want to help redefine how the world builds - apply here: https://t.co/aZb2XUfxbV