A Complete Data Development Solution for Physical AI.
A Complete Data Development Solution for Physical AI.
MOTION RETARGETING
MOTION RETARGETING
SPATIAL CONTEXT
SPATIAL CONTEXT
GRASP DETECTION
GRASP DETECTION
SCENE ANALYSIS
SCENE ANALYSIS
RAW INPUT VIDEO
RAW INPUT VIDEO
Reliable and scalable data collection is a bottleneck for the development of Large World Models and Robot Foundation Models. By ensuring high-quality gold standard datasets and tools optimized for internet-scale data collection capabilities, Dexter offers a comprehensive solution to accelerate Physical AI.
Our goal is to make it way easier to collect and unify data gathered via tele-op, synthetic environments, and video. With Dxtr you can go from requirements to training, in days not weeks.
Think of Dexter as an elite data concierge, meticulously curating high-fidelity world model and robotics training data—tailored for any modality, task, or scale with precision, speed and sophistication
More updates are coming soon as we roll out support for other data collection methods. Stay tuned!
Reliable and scalable data collection is a bottleneck for the development of Large World Models and Robot Foundation Models. By ensuring high-quality gold standard datasets and tools optimized for internet-scale data collection capabilities, Dexter offers a comprehensive solution to accelerate Physical AI.
Our goal is to make it way easier to collect and unify data gathered via tele-op, synthetic environments, and video. With Dxtr you can go from requirements to training, in days not weeks.
Think of Dexter as an elite data concierge, meticulously curating high-fidelity world model and robotics training data—tailored for any modality, task, or scale with precision, speed and sophistication
More updates are coming soon as we roll out support for other data collection methods. Stay tuned!
Supported
Embodiments
Supported
Embodiments
Customizable for your robot embodiment
Approach that is agnostic to the robot embodiment and that scales and adapts to the changes that happen on your end.
Customizable for your robot embodiment
Approach that is agnostic to the robot embodiment and that scales and adapts to the changes that happen on your end.
Customizable for your robot embodiment
Approach that is agnostic to the robot embodiment and that scales and adapts to the changes that happen on your end.
Scalable, Multimodal Data Collection
Scalable, Multimodal Data Collection
High-Fidelity Video + Depth
Capture rich visual data streams with synchronized RGB and depth for spatially aware training.
High-Fidelity Video + Depth
Capture rich visual data streams with synchronized RGB and depth for spatially aware training.
High-Fidelity Video + Depth
Capture rich visual data streams with synchronized RGB and depth for spatially aware training.
Precise Robot & Camera Trajectories
Accurate localization and full trajectory tracking for both robots and onboard cameras.
Precise Robot & Camera Trajectories
Accurate localization and full trajectory tracking for both robots and onboard cameras.
Precise Robot & Camera Trajectories
Accurate localization and full trajectory tracking for both robots and onboard cameras.
Audio for Narrative & Event Understanding
Capture ambient audio for labeling actions, detecting events, and enriching contextual learning.
Audio for Narrative & Event Understanding
Capture ambient audio for labeling actions, detecting events, and enriching contextual learning.
Audio for Narrative & Event Understanding
Capture ambient audio for labeling actions, detecting events, and enriching contextual learning.
WIP: Tactile & Wrist-Mounted Sensing
Integrating pressure sensors and wrist cameras to enhance manipulation understanding and fine-grained control.
WIP: Tactile & Wrist-Mounted Sensing
Integrating pressure sensors and wrist cameras to enhance manipulation understanding and fine-grained control.
WIP: Tactile & Wrist-Mounted Sensing
Integrating pressure sensors and wrist cameras to enhance manipulation understanding and fine-grained control.
Data Flow with DXTR
Data Flow with DXTR
A robot agnostic pipeline that adapts & scales with your requirements
A robot agnostic pipeline that adapts & scales with your requirements
HITL Tools for QA
HITL Tools for QA
Manual Corrections
Quickly fix errors in policies or data collection pipelines with intuitive human-in-the-loop controls.
Annotation & Trajectory Definition
Easily label objects or define motion paths to improve data accuracy and downstream performance.
Dataset Visualization & Embodiment Validation
Explore datasets visually and catch embodiment mismatches or errors before they propagate.
Manual Corrections
Quickly fix errors in policies or data collection pipelines with intuitive human-in-the-loop controls.
Annotation & Trajectory Definition
Easily label objects or define motion paths to improve data accuracy and downstream performance.
Dataset Visualization & Embodiment Validation
Explore datasets visually and catch embodiment mismatches or errors before they propagate.
Requirements to Training, in
Days not Weeks
Requirements to Training, in
Days not Weeks
A mobile app to scale your data collection efforts, across multiple modalities
A mobile app to scale your data collection efforts, across multiple modalities
Ready to train assets in standardized data formats
Ready to train assets in standardized data formats
Ready to train assets in standardized data formats
WIP
A human cloud network service, just for robotics companies - Orchestrate data procurement for any skill, at any scale.
WIP
A human cloud network service, just for robotics companies - Orchestrate data procurement for any skill, at any scale.
WIP
A human cloud network service, just for robotics companies - Orchestrate data procurement for any skill, at any scale.
Scene Segmentation & Object Annotation
Precisely label scenes and objects to power perception, planning, and manipulation workflows.
Scene Segmentation & Object Annotation
Precisely label scenes and objects to power perception, planning, and manipulation workflows.
Mobility-Aware Floor Analysis
Automatically detect obstacles, navigable regions, and floor geometry for safe lower-body movement.
Mobility-Aware Floor Analysis
Automatically detect obstacles, navigable regions, and floor geometry for safe lower-body movement.
Object Extraction & Grasp Detection
Identify and localize graspable objects with minimal human input, ready for downstream manipulation.
Object Extraction & Grasp Detection
Identify and localize graspable objects with minimal human input, ready for downstream manipulation.
Customizable Platform for Task-Specific Needs
Customizable Platform for Task-Specific Needs
Object Extraction & Grasp Detection
Identify and localize graspable objects with minimal human input, ready for downstream manipulation.
Mobility-Aware Floor Analysis
Automatically detect obstacles, navigable regions, and floor geometry for safe lower-body movement.
Scene Segmentation & Object Annotation
Precisely label scenes and objects to power perception, planning, and manipulation workflows.
Seamless integration into ML pipelines
Seamless integration into ML pipelines
Seamless Integration into ML Pipelines
A simple, flexible API lets you manage data, request datasets from our workforce, define ontologies for annotation and integrate internal processes with ease.
A simple, flexible API lets you manage data, request datasets from our workforce, define ontologies for annotation and integrate internal processes with ease.
Workflow 1
Workflow 2
Workflow 3
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from dxtr import AnnotationClient
# Initialize API client with user token and project ID
client = AnnotationClient(api_token="your_api_token_here", project_id="project_12345")
# Get status of data collection for a specific project
status = client.get_status(project_id="project_12345")
print(status)
REQUEST Data Collection
POST
Check Collection Status
GET
DEFINE ONTOLOGIES
PUT
Automated Labeling
POST
UPLOAD DATA FOR REVIEW
POST
List Available Datasets
GET
Export Labeled Dataset
GET
EXPORT RAW DATA
POST
View Processing Tasks
GET
Delete Dataset
DEL
REQUEST Data Collection
POST
Check Collection Status
GET
DEFINE ONTOLOGIES
PUT
Automated Labeling
POST
UPLOAD DATA FOR REVIEW
POST
List Available Datasets
GET
Export Labeled Dataset
GET
EXPORT RAW DATA
POST
View Processing Tasks
GET
Delete Dataset
DEL
Workflow 1
Workflow 2
Workflow 3
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from dxtr import AnnotationClient
# Initialize API client with user token and project ID
client = AnnotationClient(api_token="your_api_token_here", project_id="project_12345")
# Get status of data collection for a specific project
status = client.get_status(project_id="project_12345")
print(status)
REQUEST Data Collection
POST
Check Collection Status
GET
DEFINE ONTOLOGIES
PUT
Automated Labeling
POST
UPLOAD DATA FOR REVIEW
POST
List Available Datasets
GET
Export Labeled Dataset
GET
EXPORT RAW DATA
POST
View Processing Tasks
GET
Delete Dataset
DEL
Be First to Try Dxtr.
Be First to Try Dxtr.
We’re working with thoughtful design partners that are passionate about solving this problem. Together, we have a real stab at solving internet scale data collection for robots!
We’re working with thoughtful design partners that are passionate about solving this problem. Together, we have a real stab at solving internet scale data collection for robots!
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