Expert-demonstrated manipulation data, recovered and graded for policy learning.

We capture skilled human work in real production settings: three synchronized cameras (a head-mounted egocentric view and one on each wrist), frame-aligned to the millisecond, with hand pose recovered per frame. Expert-graded, consented, and collected to your specification.

TEXTILE SAMPLE AVAILABLE · FURTHER INDUSTRIAL VERTICALS ON REQUEST

IRONING_COMPOSITE_001 Textile pilot · 2026

Three synchronized cameras, head-mounted plus one on each wrist, frame-aligned to the millisecond, with hand pose recovered per frame. An expert garment worker ironing in a working production setting.

Composite
3 cameras
Views
Head + both wrists
Signal
Recovered hand pose

Real work, recovered as trainable signal.

Contact-rich, deformable manipulation is where simulation and world models remain weakest. We capture it from working professionals doing their actual jobs, across synchronized cameras, and recover it into trainable signal.

1 / CAPTURE

Expert demonstration

Working professionals perform real tasks in production settings, captured with a head-mounted egocentric camera and a camera on each wrist, all frame-aligned to the millisecond.

2 / RECOVER

Signal recovery & structuring

Hand and finger pose recovered per frame. Streams time-aligned to the millisecond. Sub-task segmentation, action labels, and success flags applied against a defined task taxonomy.

3 / GRADE

Expert grading & packaging

Every episode carries an expert-verified quality grade; only graded data ships. Delivered in LeRobot, RLDS, or raw plus HDF5, with a full datasheet and provenance record.

SEWING_COMPOSITE_001 · RAW Step 1 · capture

The raw source signal every later layer is recovered from: head plus a camera on each wrist, frame-synced, as an operator sews two fabrics.

Stage
Raw capture
Views
Head + both wrists
Sync
Frame-aligned

What ships in every episode.

Every demonstration ships as time-aligned layers, frame-synced across all cameras.

LayerWhat it gives a policy
Egocentric RGB + active perceptionAttention and viewpoint, beyond raw pixels
Hand & finger poseThe action itself, retargetable to a robot
Contact events (annotated)Expert-labeled grasp and release moments on flagged segments
Wrist-camera views (×2)Close, hand-locked detail the head camera can't see
Task structureSub-task segmentation, action and affordance labels, success flags
Quality gradeExpert review tier per episode; train on the threshold you choose
Provenance & consentAuditable rights and licensing, ready for procurement
STRAIGHT_LINE_CUTTING_001 Layers 1–2

The top two layers made visible: recovered hand keypoints, the action itself, rendered over the egocentric RGB stream as an expert cuts to a line.

Stream
Egocentric RGB
Overlay
Hand keypoints
Layer
The action

Consented at the source. Documented for procurement.

For a policy you'll deploy, where the data came from matters as much as what's in it. Every operator consents to the capture and its use, and every collection is built to carry an auditable provenance and licensing trail, designed for EU / GDPR review and enterprise procurement from the first frame.

CONSENTED

Informed, on the record

Operators consent to the capture and its downstream use before recording. Consent scope is tracked per collection.

DOCUMENTED

Auditable provenance

Source, rights, and licensing travel with every episode as metadata, traceable end to end.

EU / GDPR

Built for scrutiny

Sourcing transparency and data-protection documentation, designed for European compliance review.

Industrial verticals, captured in structured blocks.

Deformable and contact-rich work across industries, collected to task specification. Garment work is available to evaluate today; every other vertical is captured on request, to your task specification and at program scale.

VerticalCapabilityStatus
Garment & leather-goods work deformable manipulation (frontier) AVAILABLE
Restaurant / kitchen prep long-horizon multi-step + deformable food ON REQUEST →
Light assembly & repair fine bimanual + tool use + kitting ON REQUEST →
Fresh-produce grading & packing deformable + high object diversity ON REQUEST →
Packing & moving pick-place, box folding, load-bearing ON REQUEST →
Gold / jewellery manufacturing fine tool-mediated dexterity ON REQUEST →
FMCG food manufacturing process, repetitive, controlled ON REQUEST →

The textile sample: expert garment work, ready to evaluate.

Multi-camera egocentric demonstrations from working garment-industry professionals. Documented to the Datasheets for Datasets standard, packaged so an ML engineer gets value in under ten minutes.

LeRobotRLDSHDF5
Domain
Industrial garment / leather-goods work
Task family
Deformable, bimanual, contact-rich manipulation
Sample data
~16 hours of graded sample episodes
Program scale
Collected to spec, on request
Subjects
Expert operators, real production settings
License
Commercial, non-exclusive by default

A LeRobot-format open teaser is on its way to Hugging Face for free download. The full pilot dataset is available on request today.

Request the full pilot dataset

Tell us what you're training. Marcus follows up within one business day.

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We use your details to deliver the dataset and follow up about it. No lists, no spam. Full dataset access follows from marcus@sovrano.ai within one business day.

● REQUEST RECEIVED

Thanks, we've got it.

Marcus follows up from marcus@sovrano.ai within one business day with full pilot access.

Have a specific task, view, or embodiment in mind? Reply to that email and we scope it.

From sample to production program.

01

Sample

Pull the teaser or request the full pilot. Load it, inspect the signal, see the grading.

02

Pilot to spec

Tell us the tasks, embodiment, and modalities you need. We collect a scoped block to your specification.

03

Production program

Scale to a recurring, multi-hundred-hour collection program across any vertical, exclusive if you need it.

Tell us what your policy needs to learn.

We'll send the textile pilot today and scope the capture you actually need.

Request the pilot dataset