Here is a draft for the About section of your LinkedIn Company Page
Here is a draft for the About section of your LinkedIn Company Page. This is structured to hook the reader immediately (before they have to click "see more"), establish the problem (Cloud dependency), and position Loc.ai as the inevitable solution. I have focused on the "Rent vs. Own" narrative to emphasize the sovereignty angle. Overview We are building the infrastructure for sovereign, user-owned AI. For the last decade, "scaling AI" has been synonymous with "renting cloud compute." Companies are forced to send their data to centralized servers, pay variable inference costs that crush margins, and rely on Big Tech for their core intelligence. Loc.ai changes that paradigm. We are the control plane for off-cloud AI. We provide the infrastructure that allows developers and enterprises to deploy, manage, and scale AI models directly on edge devices—completely bypassing the public cloud. Think of us as the Cloudflare for decentralized AI. We handle the plumbing so you can focus on the intelligence. Our Mission To decouple AI growth from cloud costs and bring true ownership to the end user. What We Deliver True Sovereignty: Your data and your model weights stay on your hardware. No API calls to third parties. Fixed Economics: We help you move from variable OpEx (paying per token) to fixed CapEx (owning the compute). As you scale, your costs don't spiral. Scalable Infrastructure: A brokerless, distributed architecture that lets you manage a fleet of 5 devices or 50,000 with the same ease. Our Traction Loc.ai is backed by the Google for Startups Accelerator and the NVIDIA Inception program. We are already deploying with enterprise partners to power the next generation of autonomous, private, and efficient AI. The future of AI isn't in the cloud—it's everywhere else.
Here is a draft for the About section of your LinkedIn Company Page
Here is a draft for the About section of your LinkedIn Company Page. This is structured to hook the reader immediately (before they have to click "see more"), establish the problem (Cloud dependency), and position Loc.ai as the inevitable solution. I have focused on the "Rent vs. Own" narrative to emphasize the sovereignty angle. Overview We are building the infrastructure for sovereign, user-owned AI. For the last decade, "scaling AI" has been synonymous with "renting cloud compute." Companies are forced to send their data to centralized servers, pay variable inference costs that crush margins, and rely on Big Tech for their core intelligence. Loc.ai changes that paradigm. We are the control plane for off-cloud AI. We provide the infrastructure that allows developers and enterprises to deploy, manage, and scale AI models directly on edge devices—completely bypassing the public cloud. Think of us as the Cloudflare for decentralized AI. We handle the plumbing so you can focus on the intelligence. Our Mission To decouple AI growth from cloud costs and bring true ownership to the end user. What We Deliver True Sovereignty: Your data and your model weights stay on your hardware. No API calls to third parties. Fixed Economics: We help you move from variable OpEx (paying per token) to fixed CapEx (owning the compute). As you scale, your costs don't spiral. Scalable Infrastructure: A brokerless, distributed architecture that lets you manage a fleet of 5 devices or 50,000 with the same ease. Our Traction Loc.ai is backed by the Google for Startups Accelerator and the NVIDIA Inception program. We are already deploying with enterprise partners to power the next generation of autonomous, private, and efficient AI. The future of AI isn't in the cloud—it's everywhere else.