Introducing Fibric: The Dawn of Agentic AI for the Physical World

For two hundred years, every breakthrough in computing has been about bridging gaps. Between human thought and machine logic. Between isolated computers and global networks. Between what's theoretically possible and what's actually practical.

Ada Lovelace imagined a "poetical science," machines that could translate patterns into symphonies. Alan Turing translated thought itself into logic that won a war at Bletchley Park. The raw power of ENIAC and the silent revolution of the transistor made computation real. IBM created common languages so different hardware could work together. BASIC gave that power to everyday people. The internet connected the world's machines.

Each breakthrough made the theoretical practical.

Today, platforms like Lovable are continuing this work, removing the final barrier between imagination and software. You no longer need to know how to code to create applications. You describe what you want, and it builds it. The capability to create sophisticated software is no longer locked behind years of learning programming languages.

Now there's one more barrier to remove.

Introducing Fibric: The platform for Agentic AI in physical spaces.

The technology to create intelligent buildings already exists. AI can reason and decide. Sensors can detect and measure. Systems can control and adjust. But connecting them? That's where everything breaks down.

Walk into any commercial building and you'll find a chaos of incompatible systems. The HVAC speaks BACnet. The lighting uses DALI. Access control has its own protocol. Occupancy sensors report in yet another format. Each vendor has different APIs, different requirements, different specialists you need to hire.

Want to deploy agentic AI that optimizes your building? You're looking at months of custom integration work, hundreds of thousands in consulting fees, and a solution so specific to your exact configuration that it can't scale to your next property. It's technically possible. It's just practically impossible for anyone but the largest organizations with the biggest budgets.

Fibric removes that barrier.

Our platform handles the integration chaos. We connect to the different systems, speak their different languages, and give agentic AI a single, unified way to sense and act across your entire environment. What used to take months of custom work now takes days. What used to require a team of specialists now requires a conversation.

Tell your building to reduce energy waste, and agentic AI learns your patterns and orchestrates climate and lighting across whatever systems you have. Need to improve guest flow in your hotel? AI analyzes the data from your existing sensors and adjusts staffing in real time, regardless of which vendors installed what.

The capability to create intelligent spaces is no longer locked behind complexity and custom integration. You describe what you want your building to do, and it happens.

Live Today

This isn't a future vision. Fibric is deployed and working now.

We're operating at the Qualcomm Institute at UC San Diego. We're running in hotels, airports, and complex facilities. We're vendor-approved with major hotel brands and we're working with industry leaders to bring agentic AI to places that couldn't afford the old approach.

The results are immediate. Energy optimization. Better operations. Staff directed to where they're actually needed. And buildings that learn and improve, not just on day one, but continuously.

The AI models of the last decade trained on the internet, a library of human knowledge. The next generation will train on the physical world, learning from every building, every pattern, every space. The data is infinite and dynamic.

What Comes Next

The journey that began with Lovelace's vision of a thinking machine has brought us here. From software that anyone can create to spaces that anyone can command. The first thinking spaces are waking up. They're learning. They're optimizing. They're solving problems their designers never anticipated.

What happens when they start learning from each other?