Contract manufacturer and technology company building autonomous factories for final assembly (FATP) of robots, actuators, & complex electromechanical systems.
San Francisco Bay Area
Joined September 2025
- Tweets29
- Following21
- Followers270
- Likes71
Matter retweeted
@makematterco is the solution to this exact problem. Be a strategic manufacturing partner for robotics companies from prototype to scale.
the bottleneck in robotics isn’t just intelligence.
it’s manufacturing.
we can build incredible robot demos today. building 10,000 of them reliably, cheaply, and repeatedly is a completely different problem.
where things get hard:
• actuators → motors, gearboxes, encoders, bearings. precision gets expensive fast.
• tolerances → a prototype can be hand-tuned. a production line can’t depend on someone with a file and screwdriver.
• supply chain → one unavailable sensor, chip, bearing, or connector can stop the entire line.
• assembly → robots have too many parts, cables, fasteners, calibration steps. every step adds labor and another failure mode.
• quality control → every actuator, sensor, joint, and pcb has variation. now make 10,000 robots behave the same.
• calibration → cameras, joints, force sensors, encoders. calibration at scale becomes its own manufacturing problem.
• testing → a robot that moves correctly for 10 minutes means nothing. you need thousands of hours of repeatable operation.
• serviceability → robots will break. design them so a technician can replace a module in minutes, not disassemble half the machine.
this is why prototype → production is such a brutal jump.
the robotics companies that win won’t necessarily have the coolest demos.
they’ll be the ones that figure out how to manufacture complicated machines like boring commodities.
robotics needs manufacturing engineering as much as it needs ai.
Matter retweeted
Physical AI needs a new industrial foundation.
@BusinessInsider's @ryajetha named Matter one of the 25 most promising robotics startups of 2026.
Incubated by Eclipse Partner and @makematterco Co-Founder @charlythuo, Matter is building autonomous factories to manufacture the next generation of robots, drones, and their components, turning the factory itself into a learning system.
Congrats to the Matter team on the recognition!
bit.ly/4wAaYi2
Matter retweeted
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