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.

Britain started the first industrial revolution. It is close to sitting out the next one. This is not a capability problem. The UK has built real foundations in eighteen months: £500M for sovereign AI, £1.1bn for AI hardware, five AI Growth Zones. Compute, capital, infrastructure. Whilst all of this is necessary, none of it puts a robot to work on a production line. That is what we build. Atlas records experienced workers on the line, multiplies their demonstrations in simulation, fine-tunes a policy for the task, and puts our engineers on the floor until the robot works in production. microagi is launching in the UK, our first market outside Germany. Today we hosted a roundtable in London chaired by HM Trade Commissioner for Europe Ceri Morgan CBE, with Leo Rees, Special Advisor at No.10 and Isabel Webb from DBIST, as well as leaders from AI research labs and industry, including Markus Gruneisl at BMW. Three takeaways from our roundtable: the necessity for collaboration, because no single sector gets there alone; speed, because every deployment compounds; and sovereignty, because the data generated in Europe's factories should stay where it belongs. The next 18 months decide whether the UK leapfrogs or drifts. If you run an industrial company in the UK: talk to us. We are hiring for our London office.