Designing, Embedding & Orchestrating Physical AI

All right!!!

Meetup #7 of 2026 will take place May 21! This time, we're teaming up with EMQ Technologies and great supporter of the community HiQ and some local start-ups in the physical AI space, taking on the question of how to design, embed and orchestrate physical AI.

Event Program

- Doors open at 17:00 CET

- Talks begin at 17:45 CET

- There will be light food & drinks

- There may be a moderated Q&A session....

Speaker Line-Up

• Ivan Dyachkov, Field CTO (EMEA) at EMQ Technologies will give a talk titled "Orchestrating Physical AI Agents with MQTT". Abstract: A walkthrough of an architecture for orchestrating AI agents with MQTT, the same pub/sub infrastructure already used for IoT at scale. The talk covers how specialized AI agents connect to and control fleets of IoT devices through the MQTT broker, and how those agents are discovered, coordinated, and composed into applications using A2A-over-MQTT. Company description: EMQ Technologies builds EMQX, a unified MQTT platform that serves as the real-time data backbone for Physical AI. EMQX connects robots, vehicles, factories, and smart devices with AI agents that perceive, reason, and act. The platform powers over 500 million connected devices and 25 million connected vehicles for customers including Geely, SAIC Volkswagen, BMW, and Ericsson.

• Yuri Gusev, CTO at Encube Technologies will give a talk titled "From Generative CAD to Agentic Design". Abstract: What if AI could design mechanical parts the way it writes code: iterating, failing fast, and self-correcting in real time? We're building the missing feedback layer for mechanical design, and we'd love to show you how. Company description: Encube Technologies is an AI platform where hardware teams come together to analyze designs, gain insights and
  shape ideas to invent better products faster.

• Andreas Ask, Deep Learning Researcher & Product Owner at Embedl will give a talk titled "Barriers to executing AI at the Edge and how to solve them!" Abstract: Andreas will share their knowledge on how difficult it is to develop at the Edge and what sort of platforms and toolchains we are bringing to the market and how they can bring those barriers down. Company description: Embedl removes computing constraints through highly efficient AI models, optimized, and tailored runtime configurations. This allows advanced AI to run reliably on constrained hardware, unlocking new possibilities for intelligent edge devices.

Looking forward to seeing you there,

/Patrick & the Stockholm MLOps Team