We spent decades watching robots gather dust in research labs while the world needed them in warehouses, hospitals, and homes. The gap wasn't imagination—every founder dreamed of their robot army. The gap was the PhD thesis required to make a gripper close on a cup.

Something shifted. Language models learned to understand intent. Vision systems learned to see. Manipulation hardware got cheap enough to matter. The pieces were finally there.

But scattered pieces don't build companies. Founders still needed six roboticists, eighteen months, and millions in capital to ship a single product. Researchers still couldn't test their algorithms on real hardware. Small teams still couldn't compete with industrial giants.

We're building the software and infrastructure that changes this.

APIs that let you command manipulation, navigation, and vision without touching control theory. Cloud systems that deploy and manage robot fleets like Vercel deploys websites. Networks where what one robot learns in Tokyo, another applies in Helsinki instantly. Code built to run for decades, not rewritten every product cycle.

The result: startups shipping physical AI in weeks. Developers building behaviors without the PhD. Anyone experimenting with robots at cloud costs.

The ChatGPT moment for robots isn't coming. It's here.

Lindy makes robots as accessible as asking a question.

Build things that last. Make them talk. Deploy them everywhere.