Bridging the real world and machine intelligence. We build the physical infrastructure, digital systems, and reinforcement learning environments that give AI what it’s been missing — a connection to reality. That’s how AGI becomes possible.
Looni plugs into two ecosystems — digital AI and physical AI — and owns the data, integration, and evaluation layer between them. That’s what turns disconnected capability into grounded, compounding intelligence.
The loop compounds. Every cycle makes both sides smarter.
Looni sits between digital AI and physical AI. Wherever you work in that stack, the loop works for you.
Your hardware runs. Looni learns.
Every grasp, every reach, every failed pick — your robot is generating signal. Most of it gets logged and forgotten. Looni captures it as structured task data, runs it against eval benchmarks, and feeds the scored output back into your next policy update. The robot doesn’t just repeat. It compounds.
Real contact. Real physics. Real data.
Foundation models trained on synthetic renders plateau at sim. Looni delivers multi-modal manipulation data from physical execution — force, torque, vision, proprioception — structured, labeled, and sourced from real-world contact. The kind of data that moves you from demo to deployment.
It worked in sim. Make it work here.
The last 20% is where policies break — lighting shifts, tolerances tighten, parts arrive different than CAD. Looni runs continuous eval on your production line, scores every execution against intent, and feeds the delta back upstream. The gap between sim and floor closes a little more every shift.
The learning loop for physical AI is open for partners. Bring your robots, your models, your manufacturing line — and let the loop compound.
Partner with us →