Real-world training data for robots that need to act.
dexset helps robotics and physical AI teams collect, annotate, structure, and deliver high-quality multimodal datasets for manipulation, navigation, human-object interaction, teleoperation, and autonomous task learning.
Built for robotics teams that need data from real environments
Robots do not learn from clean theory. They learn from messy reality.
Physical AI systems fail when training data does not reflect real-world variation. Lighting changes. Objects move. Humans adapt. Hands block cameras. Edge cases appear after deployment. dexset captures the data robots actually need to improve.
Synthetic data is not enough
Simulation helps, but real-world deployment needs datasets that include variation, friction, and unpredictable human behavior.
Robotics data is hard to collect
Teams need the right camera angles, task definitions, object variation, environment diversity, and capture consistency.
Raw video is not training data
Robotics teams need structured annotations, metadata, quality checks, and delivery formats that fit their ML pipelines.
From real-world task capture to ML-ready datasets.
Define the Task
Clarify the task, environment, objects, capture angles, success criteria, and dataset requirements.
Capture Real-World Data
Collect egocentric, exocentric, multi-view, sensor, and teleoperation data across relevant environments.
Annotate Interactions
Label objects, actions, poses, failures, sequences, grasp points, scenes, and task outcomes.
Validate Quality
Score datasets for completeness, consistency, coverage, variation, and model-readiness.
Deliver to Pipeline
Export data in formats compatible with computer vision, robotics, and ML workflows.
Everything needed to build robotics training datasets.
Datasets for the tasks robots struggle with most.
One workflow from capture brief to dataset delivery.
Designed for the physical AI use cases moving fastest.
Training data is only useful when it is consistent, traceable, and complete.
Coverage
Capture enough variation across objects, environments, people, lighting, camera angles, and task sequences.
Precision
Use clear labels, consistent annotation standards, and task-specific metadata.
Traceability
Maintain source, capture, task, environment, and annotation records for every dataset.
Delivery Readiness
Format datasets for direct use in model training, evaluation, simulation, and deployment pipelines.
Why robotics teams use dexset
Compliant by design, across every dataset.
From first consent form to final delivery, dexset workflows are built to meet data protection, security, and labor standards across the regions where we capture and the regions where our customers operate.
Informed consent
Every participant is briefed and signs a release before capture begins. Consent records attach to each clip, and withdrawal requests are honored across all delivered versions.
Privacy protection
Face blurring, anonymization, and exclusion zones are applied wherever required. We minimize personal data by design and never collect more than the task brief demands.
Data security
Footage is encrypted in transit and at rest, with role-based access controls, signed delivery URLs, and per-recipient transfer records on every dataset.
Regional compliance
Capture and delivery workflows are designed to align with GDPR and UK GDPR, CCPA/CPRA, PIPL, APPI, and LGPD requirements, with regional data-residency options where needed.
Traceability & audit
Source, consent, capture, environment, and annotation records persist for every dataset, supporting audits that run from raw footage to the exported training file.
Responsible sourcing
Capture operators, demonstrators, and annotators are fairly paid and work under documented, safe conditions — quality data should never come from exploitative labor.
Need real-world data for your robotics model?
Tell us what your robot needs to learn. dexset can help define, capture, annotate, validate, and deliver the dataset behind it.
A complete data infrastructure layer for robotics teams.
dexset helps teams move from data requirement to real-world capture, annotation, validation, and ML-ready dataset delivery.
From task brief to model training.
From capture to ML-ready datasets, in one view.
What the platform handles for you.
Compliant by design, across every dataset.
From first consent form to final delivery, dexset workflows are built to meet data protection, security, and labor standards across the regions where we capture and the regions where our customers operate.
Informed consent
Every participant is briefed and signs a release before capture begins. Consent records attach to each clip, and withdrawal requests are honored across all delivered versions.
Privacy protection
Face blurring, anonymization, and exclusion zones are applied wherever required. We minimize personal data by design and never collect more than the task brief demands.
Data security
Footage is encrypted in transit and at rest, with role-based access controls, signed delivery URLs, and per-recipient transfer records on every dataset.
Regional compliance
Capture and delivery workflows are designed to align with GDPR and UK GDPR, CCPA/CPRA, PIPL, APPI, and LGPD requirements, with regional data-residency options where needed.
Traceability & audit
Source, consent, capture, environment, and annotation records persist for every dataset, supporting audits that run from raw footage to the exported training file.
Responsible sourcing
Capture operators, demonstrators, and annotators are fairly paid and work under documented, safe conditions — quality data should never come from exploitative labor.
See the platform on your task.
Bring one workflow your robot needs to learn. We will show you how it becomes a dataset.
Capture the real-world tasks your robot needs to learn.
dexset collects task-specific robotics data across commercial, industrial, residential, warehouse, and controlled environments.
Every angle your model needs.
Real captures, real annotations.
Example tasks we capture every week.
Environment types
Commercial workflows, industrial floors, warehouses, residential settings, retail spaces, and controlled studios — matched to where your robot will actually operate.
Capture quality controls
Synchronized timecodes, calibration checks, environment tags, operator notes, and per-clip capture IDs so every frame is traceable back to its source.
Compliant by design, across every dataset.
From first consent form to final delivery, dexset workflows are built to meet data protection, security, and labor standards across the regions where we capture and the regions where our customers operate.
Informed consent
Every participant is briefed and signs a release before capture begins. Consent records attach to each clip, and withdrawal requests are honored across all delivered versions.
Privacy protection
Face blurring, anonymization, and exclusion zones are applied wherever required. We minimize personal data by design and never collect more than the task brief demands.
Data security
Footage is encrypted in transit and at rest, with role-based access controls, signed delivery URLs, and per-recipient transfer records on every dataset.
Regional compliance
Capture and delivery workflows are designed to align with GDPR and UK GDPR, CCPA/CPRA, PIPL, APPI, and LGPD requirements, with regional data-residency options where needed.
Traceability & audit
Source, consent, capture, environment, and annotation records persist for every dataset, supporting audits that run from raw footage to the exported training file.
Responsible sourcing
Capture operators, demonstrators, and annotators are fairly paid and work under documented, safe conditions — quality data should never come from exploitative labor.
What environment do you need data from?
Describe the task and setting. We design the capture plan.
Request Dataset ConsultationTurn raw robotics footage into structured training data.
dexset annotates videos, frames, objects, actions, poses, task states, failures, and outcomes so robotics teams can train and evaluate models faster.
Labels that understand physical tasks.
What labeled frames look like.
Reviewed by humans. Delivered in your format.
Quality assurance
Multi-pass review, annotation confidence scoring, inter-annotator agreement checks, and error flagging before anything ships.
Human review workflows
Robotics-aware reviewers validate task states, grasp points, and failure markers with the physical context generic vendors miss.
Export formats
COCO, YOLO, Pascal VOC, JSON, CSV, or a custom schema mapped to your training pipeline.
Compliant by design, across every dataset.
From first consent form to final delivery, dexset workflows are built to meet data protection, security, and labor standards across the regions where we capture and the regions where our customers operate.
Informed consent
Every participant is briefed and signs a release before capture begins. Consent records attach to each clip, and withdrawal requests are honored across all delivered versions.
Privacy protection
Face blurring, anonymization, and exclusion zones are applied wherever required. We minimize personal data by design and never collect more than the task brief demands.
Data security
Footage is encrypted in transit and at rest, with role-based access controls, signed delivery URLs, and per-recipient transfer records on every dataset.
Regional compliance
Capture and delivery workflows are designed to align with GDPR and UK GDPR, CCPA/CPRA, PIPL, APPI, and LGPD requirements, with regional data-residency options where needed.
Traceability & audit
Source, consent, capture, environment, and annotation records persist for every dataset, supporting audits that run from raw footage to the exported training file.
Responsible sourcing
Capture operators, demonstrators, and annotators are fairly paid and work under documented, safe conditions — quality data should never come from exploitative labor.
Send us a sample clip.
We will return it annotated to your spec so you can judge the quality directly.
Start a PilotTeleoperation data for continuous robot learning.
dexset supports teleoperation workflows that help robotics teams collect operator data, capture deployment edge cases, and improve models after real-world rollout.
Every intervention is a training signal.
Teleoperation is not only an operational backup. It is a data loop. Each time an operator takes over, that moment captures exactly where the model fell short — and what the correct behavior looks like.
Remote & on-site operation
Support for remote piloting and in-environment operation, with synchronized capture of operator inputs and outcomes.
Edge-case capture
Flag, store, and structure intervention moments so the rarest scenarios become your most valuable training data.
Human-in-the-loop learning
Feed operator corrections back into fine-tuning sets to close the gap between this model version and the next.
Compliant by design, across every dataset.
From first consent form to final delivery, dexset workflows are built to meet data protection, security, and labor standards across the regions where we capture and the regions where our customers operate.
Informed consent
Every participant is briefed and signs a release before capture begins. Consent records attach to each clip, and withdrawal requests are honored across all delivered versions.
Privacy protection
Face blurring, anonymization, and exclusion zones are applied wherever required. We minimize personal data by design and never collect more than the task brief demands.
Data security
Footage is encrypted in transit and at rest, with role-based access controls, signed delivery URLs, and per-recipient transfer records on every dataset.
Regional compliance
Capture and delivery workflows are designed to align with GDPR and UK GDPR, CCPA/CPRA, PIPL, APPI, and LGPD requirements, with regional data-residency options where needed.
Traceability & audit
Source, consent, capture, environment, and annotation records persist for every dataset, supporting audits that run from raw footage to the exported training file.
Responsible sourcing
Capture operators, demonstrators, and annotators are fairly paid and work under documented, safe conditions — quality data should never come from exploitative labor.
Turn your deployment into a dataset.
Talk to a Data ExpertTask-specific datasets for robotics and physical AI.
Explore commercial, industrial, residential, and service task datasets designed for robot learning, perception, manipulation, and evaluation.
Compliant by design, across every dataset.
From first consent form to final delivery, dexset workflows are built to meet data protection, security, and labor standards across the regions where we capture and the regions where our customers operate.
Informed consent
Every participant is briefed and signs a release before capture begins. Consent records attach to each clip, and withdrawal requests are honored across all delivered versions.
Privacy protection
Face blurring, anonymization, and exclusion zones are applied wherever required. We minimize personal data by design and never collect more than the task brief demands.
Data security
Footage is encrypted in transit and at rest, with role-based access controls, signed delivery URLs, and per-recipient transfer records on every dataset.
Regional compliance
Capture and delivery workflows are designed to align with GDPR and UK GDPR, CCPA/CPRA, PIPL, APPI, and LGPD requirements, with regional data-residency options where needed.
Traceability & audit
Source, consent, capture, environment, and annotation records persist for every dataset, supporting audits that run from raw footage to the exported training file.
Responsible sourcing
Capture operators, demonstrators, and annotators are fairly paid and work under documented, safe conditions — quality data should never come from exploitative labor.
Don't see your task?
Most of our datasets start as custom briefs. Tell us what your robot needs to learn.
Request a Custom DatasetRobotics data for every stage of model development.
From pre-training corpora to post-deployment failure capture, dexset fits wherever your ML workflow needs real-world ground truth.
Compliant by design, across every dataset.
From first consent form to final delivery, dexset workflows are built to meet data protection, security, and labor standards across the regions where we capture and the regions where our customers operate.
Informed consent
Every participant is briefed and signs a release before capture begins. Consent records attach to each clip, and withdrawal requests are honored across all delivered versions.
Privacy protection
Face blurring, anonymization, and exclusion zones are applied wherever required. We minimize personal data by design and never collect more than the task brief demands.
Data security
Footage is encrypted in transit and at rest, with role-based access controls, signed delivery URLs, and per-recipient transfer records on every dataset.
Regional compliance
Capture and delivery workflows are designed to align with GDPR and UK GDPR, CCPA/CPRA, PIPL, APPI, and LGPD requirements, with regional data-residency options where needed.
Traceability & audit
Source, consent, capture, environment, and annotation records persist for every dataset, supporting audits that run from raw footage to the exported training file.
Responsible sourcing
Capture operators, demonstrators, and annotators are fairly paid and work under documented, safe conditions — quality data should never come from exploitative labor.
Where does data block you today?
Request a DemoDesigned for the physical AI use cases moving fastest.
Task-specific capture, annotation, and delivery for the environments where robots are being deployed today.
Compliant by design, across every dataset.
From first consent form to final delivery, dexset workflows are built to meet data protection, security, and labor standards across the regions where we capture and the regions where our customers operate.
Informed consent
Every participant is briefed and signs a release before capture begins. Consent records attach to each clip, and withdrawal requests are honored across all delivered versions.
Privacy protection
Face blurring, anonymization, and exclusion zones are applied wherever required. We minimize personal data by design and never collect more than the task brief demands.
Data security
Footage is encrypted in transit and at rest, with role-based access controls, signed delivery URLs, and per-recipient transfer records on every dataset.
Regional compliance
Capture and delivery workflows are designed to align with GDPR and UK GDPR, CCPA/CPRA, PIPL, APPI, and LGPD requirements, with regional data-residency options where needed.
Traceability & audit
Source, consent, capture, environment, and annotation records persist for every dataset, supporting audits that run from raw footage to the exported training file.
Responsible sourcing
Capture operators, demonstrators, and annotators are fairly paid and work under documented, safe conditions — quality data should never come from exploitative labor.
Use cases we capture for this domain.
What a typical dataset includes.
Model development
Pre-training corpora, fine-tuning sets, and held-out evaluation data scoped to your tasks and environments.
Delivery formats
COCO, YOLO, Pascal VOC, JSON, CSV, or a custom schema mapped directly to your pipeline.
Quality validation
Coverage, precision, and traceability scoring on every batch before it reaches your training runs.
Compliant by design, across every dataset.
From first consent form to final delivery, dexset workflows are built to meet data protection, security, and labor standards across the regions where we capture and the regions where our customers operate.
Informed consent
Every participant is briefed and signs a release before capture begins. Consent records attach to each clip, and withdrawal requests are honored across all delivered versions.
Privacy protection
Face blurring, anonymization, and exclusion zones are applied wherever required. We minimize personal data by design and never collect more than the task brief demands.
Data security
Footage is encrypted in transit and at rest, with role-based access controls, signed delivery URLs, and per-recipient transfer records on every dataset.
Regional compliance
Capture and delivery workflows are designed to align with GDPR and UK GDPR, CCPA/CPRA, PIPL, APPI, and LGPD requirements, with regional data-residency options where needed.
Traceability & audit
Source, consent, capture, environment, and annotation records persist for every dataset, supporting audits that run from raw footage to the exported training file.
Responsible sourcing
Capture operators, demonstrators, and annotators are fairly paid and work under documented, safe conditions — quality data should never come from exploitative labor.
Need data for this domain?
Request Dataset ConsultationCompliant by design, across every dataset.
From first consent form to final delivery, dexset workflows are built to meet data protection, security, and labor standards across the regions where we capture and the regions where our customers operate.
Informed consent
Every participant is briefed and signs a release before capture begins. Consent records attach to each clip, and withdrawal requests are honored across all delivered versions.
Privacy protection
Face blurring, anonymization, and exclusion zones are applied wherever required. We minimize personal data by design and never collect more than the task brief demands.
Data security
Footage is encrypted in transit and at rest, with role-based access controls, signed delivery URLs, and per-recipient transfer records on every dataset.
Regional compliance
Capture and delivery workflows are designed to align with GDPR and UK GDPR, CCPA/CPRA, PIPL, APPI, and LGPD requirements, with regional data-residency options where needed.
Traceability & audit
Source, consent, capture, environment, and annotation records persist for every dataset, supporting audits that run from raw footage to the exported training file.
Responsible sourcing
Capture operators, demonstrators, and annotators are fairly paid and work under documented, safe conditions — quality data should never come from exploitative labor.
Building the real-world data layer for physical AI.
dexset exists to help robotics teams train machines with data from the environments where those machines will actually work.
Make real-world robotics data easier to collect, structure, validate, and use.
Robotics data is different. It is physical, sequential, multi-view, and full of edge cases that only appear in deployment. We built dexset around that reality, with humans in the loop at every quality gate.
Real-world variation matters.
Data must be task-specific.
Annotation needs physical context.
Every failure case is a training signal.
Robots improve through continuous data loops.
Compliant by design, across every dataset.
From first consent form to final delivery, dexset workflows are built to meet data protection, security, and labor standards across the regions where we capture and the regions where our customers operate.
Informed consent
Every participant is briefed and signs a release before capture begins. Consent records attach to each clip, and withdrawal requests are honored across all delivered versions.
Privacy protection
Face blurring, anonymization, and exclusion zones are applied wherever required. We minimize personal data by design and never collect more than the task brief demands.
Data security
Footage is encrypted in transit and at rest, with role-based access controls, signed delivery URLs, and per-recipient transfer records on every dataset.
Regional compliance
Capture and delivery workflows are designed to align with GDPR and UK GDPR, CCPA/CPRA, PIPL, APPI, and LGPD requirements, with regional data-residency options where needed.
Traceability & audit
Source, consent, capture, environment, and annotation records persist for every dataset, supporting audits that run from raw footage to the exported training file.
Responsible sourcing
Capture operators, demonstrators, and annotators are fairly paid and work under documented, safe conditions — quality data should never come from exploitative labor.
Work with us.
We partner with robotics teams, capture operators, and annotation specialists worldwide.
Get in TouchTell us what your robot needs to learn.
Share your use case, task category, environment, and data requirements. dexset can help design the right dataset collection and delivery workflow.
Compliant by design, across every dataset.
From first consent form to final delivery, dexset workflows are built to meet data protection, security, and labor standards across the regions where we capture and the regions where our customers operate.
Informed consent
Every participant is briefed and signs a release before capture begins. Consent records attach to each clip, and withdrawal requests are honored across all delivered versions.
Privacy protection
Face blurring, anonymization, and exclusion zones are applied wherever required. We minimize personal data by design and never collect more than the task brief demands.
Data security
Footage is encrypted in transit and at rest, with role-based access controls, signed delivery URLs, and per-recipient transfer records on every dataset.
Regional compliance
Capture and delivery workflows are designed to align with GDPR and UK GDPR, CCPA/CPRA, PIPL, APPI, and LGPD requirements, with regional data-residency options where needed.
Traceability & audit
Source, consent, capture, environment, and annotation records persist for every dataset, supporting audits that run from raw footage to the exported training file.
Responsible sourcing
Capture operators, demonstrators, and annotators are fairly paid and work under documented, safe conditions — quality data should never come from exploitative labor.