Industrial manipulation
Grasping, assembly, inspection, and tool use across changing shadows and reflective materials
Solutions
Make real-world data travel farther
Expand valuable recordings across the lighting conditions robots meet during training, evaluation, and deployment
From data to deployment
One data layer, many robot applications
Relighting turns captured scenes into scalable training assets for industrial work, home service, logistics, and manipulation
Where it creates value
Use the data where reliability matters
Warehouses and logistics
Mixed fixtures, daylight spill, low light, and mobile viewpoints
VLA and foundation models
Broader visual conditions with trajectories and task semantics preserved
Simulation and evaluation
Repeatable conditions for domain adaptation, failure reproduction, and robustness tests
How we work
A delivery model for every stage
Pilot dataset
Prove value on one task with a measurable condition matrix
Recurring data service
Generate batches as new scenes enter your pipeline
SDK or private deployment
Integrate with internal data, simulation, and training systems
Joint model program
Co-optimize data and models around deployment outcomes
Start with your data
Bring us one real-world task
Share one task and the data you already have; we will shape the lighting matrix, delivery, and validation plan
Discuss a project