Bloc.⚙️ | Not just automation @Bloc_Matrix
An intent-driven AI control system bringing MCP to real-world manufacturing. linktr.ee/Bloc_Matrix Joined December 2024-
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We’ve been heads down building this for months. An intent-driven control plane that connects cloud AI, edge coordination, and robotic execution — all in one loop. What started as a concept is now real. Sim-to-real training works. Multi-agent orchestration is live. And the…
he turned bolts. we train agents.
Here’s a look under the hood. These are the internal components powering bloc.MCP — from intent parsing and agent dispatch to execution monitoring and feedback routing. Each part is modular. Each message is traceable. This is what coordination looks like when it’s built to…
The difference between a robot that moves and one that moves well? Feedback. A lot of it. Fast. Our control loops don’t just issue commands—they listen. They adjust posture, force, angle—hundreds of times per second. This is how digital intelligence becomes real-world…
Before a robot ever touches a real part, it’s already practiced—millions of times. In simulation, it learns what to do, what not to do, and what to expect when conditions shift. By the time it gets to the shop floor, it’s not guessing. It’s acting on experience—synthetic, but…
Getting one robot to work is easy. Getting five to cooperate, in real-time, on a dynamic task? That’s the hard part. We don’t just deploy agents—we choreograph them. bloc.MCP lets arms, AGVs, and sensors share context and adjust to each other in motion. It’s not just autonomy.…
Precision in robotics doesn’t come from perfect code. It comes from letting systems try, fail, adjust, and try again—thousands of times over. We don’t hardcode “exactness”. We train it, observe it, and let it self-optimize through motion. This is why bloc.Matrix exists. Because…
Stream just started — tune in. x.com/i/broadcasts/1…
Here’s the full control stack behind Bloc. From cloud-native agents to edge-level orchestration and real-world robotic execution — everything runs through MCP, our intent-driven coordination layer. Built for factories that think, adapt, and operate without scripts. #MCP…
Our site is now live: BlocMCP.live This is where we’ll stream the live training of Bloc.Matrix — our AI-native coordination layer for real-world manufacturing. The system is coming online. Notifications on. You won’t want to miss this. #MCP #Robotics
When we say "we're training AI for manufacturing," we don’t mean preloading tasks or hardcoding behavior trees. We mean giving agents the ability to plan, negotiate, and adapt—across dynamic, real-world workflows. That’s what bloc.Matrix is for. It's a virtualized coordination…
This thread really resonates. We’ve been building toward this exact use case—AI-native coordination across existing shop floors, without overhauling infrastructure. It’s not about more machines. It’s about better orchestration.
This thread really resonates. We’ve been building toward this exact use case—AI-native coordination across existing shop floors, without overhauling infrastructure. It’s not about more machines. It’s about better orchestration.
We're not here to pitch AI as magic. We're here to make it useful—on factory floors, where timing, coordination, and real-world constraints actually matter. Most systems break down at the edge. LLMs don't talk to PLCs. Robots don't talk to each other. And automation ends up being…
In a lights-out factory, precision doesn't come from hardcoded scripts—it comes from intent. MCP acts as the control plane that connects language-native AI agents, edge-level coordination logic, and robotic execution systems. From natural language input to motion commands on the…
automation is fragmented. we built MCP to fix that. a control protocol that connects language-native AI, edge orchestrators, and factory robots — so one intent becomes many actions, and factories think as one.
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