THE END OF
RAY TRACING.

GENERATIVE SIM-TO-REAL FOR EMBODIED AI.

Kinematic Graybox
INPUT: KINEMATIC GRAYBOX
Generative Output
OUTPUT: GENERATIVE DIFFUSION

THE DATA BOTTLENECK

THE DOMAIN GAP

Traditional rendering engines (Unreal/Unity) create clean, sterile data. Models trained on them fail when facing real-world entropy like mud, sensor noise, and organic chaos.

40% PERFORMANCE DROP IN SIM-TO-REAL

ASSET HEAVY

Modeling a single photorealistic T-72 tank takes an artist 3 weeks. Our generative pipeline does it in 3 seconds using latent diffusion.

1000× FASTER ITERATION CYCLES

ZERO-SHOT FAILURE

Current systems cannot simulate 'Black Swan' events. We generate infinite variations of weather, damage, and lighting to robustify autonomy.

∞ DOMAIN RANDOMIZATION

KINEMATIC CONTROL
+ GENERATIVE CHAOS

"We don't trust AI with physics. We trust it with texture."

Planck Labs decouples geometry from perception. We utilize deterministic physics to define the geometry, while deploying generative models to perform neural rendering of the environmental conditions.

The result is perfect ground truth with photorealistic entropy.

PHYSICS
ADAPTER
DIFFUSION
HYBRID WORLD MODEL ARCHITECTURE

GENERATIVE PIPELINE

FLIGHT LOG
GRAYBOX
CONTROLNET
DIFFUSION
OUTPUT

DEPLOYABLE ACROSS DOMAINS

DEFENSE & AEROSPACE

Robustifying loitering munitions and ISR drones against bad weather, camouflage, and jamming. Training autonomous systems for GPS-denied and adversarial environments.

#UAS#ISR#GPS-DENIED#AUTONOMY

INDUSTRIAL AUTOMATION

Generating 'Hostile Factory' datasets—steam, glare, oil spills, occlusion—to train warehouse robots, quadrupeds, and robotic arms for real-world deployment.

#ROBOTICS#LOGISTICS#QUADRUPEDS#MANIPULATION

DEPLOY GENERATIVE
REALITY.

We license our generative sim-to-real engine to defense primes and robotics companies. Request access to our evaluation dataset.

Contact us:

admin@plancklabs.ai