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Bagel Labs
Bagel Labs is a physical AI research lab developing compact world-action models and distributed training systems for autonomous robot control.
San Francisco, California, United States; Toronto, Ontario, Canada
Description
Bagel Labs currently describes itself as a physical AI research lab focused on a General World Action Model for autonomous robot control across tasks, environments, and robot types. Its current work centers on PARIS, a distributed training architecture, and WorldDiT, a compact diffusion-transformer architecture that unifies world-state prediction with robot-action generation.Historical Grant Funding
VC Funding
None
2024
$0
$6.2M
Technology & Skills
AI INFRASTRUCTURE
METRICS
REINFORCEMENT LEARNING
EVALUATION
DISTRIBUTED TRAINING
PYTHON
REPRODUCIBILITY
VIDEO GENERATION
FAILURE ANALYSIS
OBSERVABILITY
QUALIFICATION
BUSINESS DEVELOPMENT
FLOW
DEBUGGING
TECHNICAL EVALUATION
SIMULATION
LOGGING
SALES
ACCOUNT MAPPING
DATA-PIPELINE
DIFFUSION
GPU
CHECKPOINTING
PIPELINE
AUTONOMY
TECHNICAL WRITING
WORLD MODEL
REPRESENTATION LEARNING
METRIC
EXPERIMENT DESIGN
CLOUD
GTM
MACHINE-LEARNING
ROBOTICS
MODEL PIPELINE
MACHINE LEARNING FRAMEWORK
BASELINE
SCORE MODEL
EXPERIMENT INFRASTRUCTURE
IMITATION LEARNING
MULTIMODAL GENERATION
Open Roles
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