— Data Collection
Capture the real-world tasks your robot needs to learn.
dexset collects task-specific robotics data across commercial, industrial, residential, warehouse, and controlled environments.
— Capture Modes
Every angle your model needs.
Egocentric capture
Exocentric capture
Multi-view synchronized capture
Wrist-mounted camera capture
Operator-view capture
Teleoperation data capture
Environment metadata capture
Sensor stream capture
— From the Field
Real captures, real annotations.
01 · Warehouse Packing
02 · Overhead Folding
03 · Shelf Stocking
04 · Industrial Assembly
— Task Categories
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.
— Compliance & Trust
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 Teams Say
Trusted by robotics teams.
★★★★★
“dexset captured 400 hours of bin-picking demonstrations across three warehouses. The failure taxonomy alone cut our triage time in half.”
Lena Ortiz
Head of Robot Learning, AI Robotics Company
★★★★★
“The egocentric hand-pose labels are the best we have evaluated. Our grasp success rate improved 18% after one fine-tuning round.”
Priya Raman
Manipulation Lead, AI Robotics Company
★★★★★
“Coverage scoring meant we knew exactly what variation we were missing before training, not after burning a GPU budget on it.”
Sofia Almeida
Perception Engineer, AI Robotics Company
— FAQ
Frequently asked questions.
What environments can you capture in?
We capture across commercial, industrial, warehouse, retail, residential, and controlled studio environments. Capture plans match the setting your robot will deploy into, including lighting conditions, layouts, and clutter levels that mirror production reality.
Which capture modes do you support?
Egocentric head-mounted, wrist-mounted, exocentric fixed-camera, multi-view synchronized, operator-view, and teleoperation capture — plus optional sensor streams and environment metadata. Most programs combine egocentric and exocentric views with frame-level time sync.
How do you keep capture consistent across sessions?
Every session follows a written capture protocol: calibrated cameras, synchronized timecodes, environment tags, operator notes, and per-clip capture IDs. Consistency checks run during capture, so drift is caught on site rather than discovered in annotation.
Can you capture tasks our own staff perform?
Yes. We can run capture programs in your facility with your operators, train your team on our protocols, or supply trained demonstrators — whichever fits your workflow, compliance requirements, and the natural variation you want in the data.
What environment do you need data from?
Describe the task and setting. We design the capture plan.