Accelerating embodied AGI
Worldwide
Joined November 2025
- Tweets81
- Following15
- Followers6.2K
- Likes259
microagi retweeted
0 to $100M ARR in 6 months is an absurd benchmark. But this is still ground zero.
The mission is clear: 1 million robots in the real world.
Winning Physical AI comes down to four primitives: compounding data loops, top-tier talent, compute scale, and execution velocity.
@microagi has all four firing in lockstep.
We are just getting started.
Researchers and engineers looking to build on the frontier of robotics: our DMs are open.
microagi retweeted
microagi just crossed $100M in 6 months. Faster than Lovable, OpenAI, Cursor, Wiz, and every software company in history.
We are living through an unusual moment where physical companies are starting to scale as fast as software companies.
Huge thank you to everyone who made this possible! <3
microagi retweeted
I've spent most of my career on one problem: Generalizable Autonomy for Robots.
Robotics have started to get out of the lab.
Frontier AI is remarkably good, hardware is available and we believe in data. Yet robotics need a lot of hand holding.
The next unlock will come from advances in Self-improvement, RL-based post-training, and agentic interactions. And as frontier AI has shown this requires real world environments.
@microagi is the one of the few places that has both sides of coin: Data and Deployments under one roof.
@usablerobots is joining @microagi in the shared vision: Physical AI should be a community without gates.
Robots are for everyone.
We’re excited to welcome @animesh_garg as our new Chief Research Officer at @microagi, with the team from @usablerobots joining him.
He has spent most of his career working on one of the hardest problems in robotics: getting robots out of the lab and into the real world.
Frontier AI now works. Hardware is becoming cheap. And the industry is finally learning how to collect robot data at scale.
What’s still missing is post-training.
Taking a general-purpose model and teaching it one specific job, in one specific environment, until a company can actually depend on it.
In LLMs, post-training is what turned impressive demos into products. In robotics, that layer barely exists yet.
A strong model is a capability. A robot that can perform the same job, on the same line, every shift, without an engineer standing next to it, is a product.
And that process has to happen again for every task, every site, and every customer.
We believe the company that can do this well, fast, and at scale will be the company that puts robots into production at massive scale.
MicroAGI is building both sides of that system.
With @joinshift, we’re building one of the most diverse and largest egocentric datasets in the world.
With Atlas, we post-train and harness models directly on enterprise deployments.
Our goal is simple:
Deploy 1 million robots.
microagi retweeted
Asking out loud is the fastest way to get almost anything done. Even if you're asking a robot.
This early case study from @microagi showcases how they're using ElevenLabs to explore what working alongside a humanoid robot looks like when you can simply talk to it.
microagi x ElevenLabs: what happens when you work together with a robot?
Language has always been at the heart of human connection. It's how we share ideas, build communities, and understand one another. We believe this will be just as important in how we connect with robots. At microagi, we envision a world where robots work alongside us as a normal part of everyday life, where asking one for help feels as natural as asking the person beside us.
For that to happen, we need to be able to speak to them directly, without a screen or control panel, and trust that we have been understood.
With ElevenLabs, we are working to make those conversations possible. We are giving our robots a voice, and shaping how they listen and respond to the people around them.
Here’s an early look at how future robots could talk with us.
microagi retweeted
Today we're announcing microSLAM, a monocular SLAM system built by our computer vision team in Zürich with ETH Zurich's Computer Vision and Geometry Lab. It ranks first on the LaMaria benchmark for monocular SLAM, and holds up against systems that carry many more cameras and IMUs. Ours runs on a single RGB stream.
Robot learning is bottlenecked on data, and the largest untapped source is people going about their work. A camera on someone's head for an afternoon in a plant is a record of how that plant actually operates, including all the parts nobody writes down.
That data is only useful if you can recover the geometry, and geometry from one moving camera in a world that will not sit still is the hard version of the problem. Solving it monocular is what makes the data cheap. Rigs do not scale to every worker. Glasses do.
microSLAM turns that footage into interactive 3D environments where behavioral foundation models can be trained. One person walks a factory floor. A robot learns to navigate it.
microagi retweeted
Just realised we added 56 new hires over the last 3 months at @microagi. Hovering around 100 now (up from five 11 months ago). Will continue at this rate for the foreseeable future ;) DM if you think you should be part of the fun.
microagi retweeted
If you are in AI space lets grab some drinks together luma.com/wzgreunl
microagi retweeted
Munich-based AI robotics startup @microagi is partnering with Google Cloud & @nvidia to build the future of embodied AI. microagi will use Google Cloud’s advanced AI stack and the NVIDIA Blackwell platform to scale its model training workloads. Discover how → goo.gle/4pBMtiF
microagi retweeted
Excited to see microagi building the future of AI robotics in Europe with Google Cloud and NVIDIA Blackwell. 👏
microagi retweeted
Big news! Munich-based AI robotics startup @microagi is partnering with @googlecloud & @nvidia to build the future of embodied AI. @microagi will use Google Cloud’s advanced AI stack and the @nvidia Blackwell platform to scale its model training workloads. goo.gle/45lb69K
microagi retweeted
- Google and Nvidia are striking a compute deal with @microagi, the German startup behind the viral Shift service that records apartment cleanings to train robots
- it's part of an "ecosystem play" in Europe's fast-growing robotics sector, which is quickly becoming a US-China battleground
More in @semafor:
semafor.com/article/07/21/20…
microagi retweeted
1/ excited to announce that we're coming out of stealth and are announcing the largest seed round in German history. $55M, ten months in. led by @HummingbirdVC. Measured against the task, it is not enough. No round would be. The task is reindustrialising Europe.
microagi retweeted
A few big updates from EgoVerse.ai:
1. EgoVerse is coming to RSS'26! @ryan_punamiya will present the work, and @simar_kareer will give a keynote at the Data-Centric Robotics workshop.
2. EgoVerse is expanding with more industry partners, including @microagi, @LightwheelAI, and Trace Labs, with a growing pool of training-validated, permissively licensed data (hitting 10k hours soon).
3. We are building the ecosystem around egocentric intelligence: Through a new partnership with the @nvidia Inception Program, we are connecting data vendors with researchers who can put this data to work.
microagi retweeted
We are hiring aggressively in Istanbul.
If you’re a cracked SWE who can make Fable 5 bleed, DM me.
This is the best engineering opportunity in Turkey right now.
We're launching the microagi Research Fellowship.
Fellows get up to $2M in compute, robotics hardware, our evals, and one of the largest physical AI datasets ever assembled. You build in our lab, with our team, alongside partners like Unitree, Nvidia, and Google Cloud.
The hard part of AI left is physical. That's the part we're working on. Come build with us.
One more thing: know someone who belongs here? Reply with their name. If they get in, we send you 10.000 USD