IsOneGuyConsideredAteam

If you have ever tried to take an AI vision model and get it to run on a real-world device—like a drone, a robot, or a smart camera—you know how frustrating it is. Models run too slow, batteries drain in minutes, and when you try to compress them to make them faster, the model’s accuracy often falls off a cliff. Developers end up spending days wrestling with confusing tools and doing manual trial and error. EdgeForge is a developer workspace that fixes this. You upload your model, pick a target device (like an Nvidia Jetson or Raspberry Pi), and EdgeForge immediately tests it to show you the honest truth: how fast it runs, how much memory it uses, and how much battery power it draws. When your model is too slow, our built-in AI Engineer—powered by Meta Muse Spark—steps in. Instead of just giving generic advice like a normal chatbot, Muse Spark actually has hands: it inspects the heavy layers of your model, looks at the real performance numbers, and figures out how to compress the slow parts without breaking the sensitive parts. It then runs that fix for you, doubling the model's speed while keeping accuracy intact. Once you’re satisfied, EdgeForge generates a clean, ready-to-run package with a Dockerfile that you can send straight to your device.