Embodied AI Data Services

Rooted in real scenes,
co-building embodied data

From our own production bases, we run the full pipeline from capture and annotation to governed delivery, starting from real scenes — working alongside you to make embodied-data work more efficient and to shape data assets that truly fit your business.

100+
standardized task types
6
self-owned production bases
10,000h+
hours of stock data
90%+
delivery pass rate
Why Verisomai

Not a data broker — a data producer

Four core strengths guarantee high-quality delivery across the entire data lifecycle.

01

Own Bases & Device Fleet

6 self-owned production bases and hardware lines, with professional rigs spanning mono (GoPro 13+), stereo, 6-eye and 8-eye setups — compatible with PICO 4 Ultra, UMI and other mainstream devices, for real-scene capture with stable, controllable supply.

02

End-to-end Quality Control

A closed loop of capture–annotation–review–governance with three-level QC (AI pre-check, manual sampling, expert re-inspection), keeping delivery pass rates stable above 90%.

03

Scenario Depth & Stock

Eight scenario domains, 100+ standardized task types, and 10,000+ hours of ready high-quality stock data.

04

Industry & Academia Ecosystem

Strategic partnerships with leading universities and research institutes, and deep collaboration with top algorithm companies and robot manufacturers — an integrated innovation ecosystem.

Data Marketplace

Browse the ready stock first — we can discuss your needs anytime

Off-the-shelf datasets publicly listed — scenarios, tasks and stock scale all transparent, with sample requests and custom ratios supported.

View all datasets
Pilot First

Pilot the samples before scaling up

Small-batch pilot delivery under the same standards as formal batches; once acceptance criteria align, we scale in agreed batches with QC reports attached.

Book a pilot delivery
Capture Scenarios

From production line to living room

Own lines and partner sites cover five scenario families — real environments, standard processes, fast adaptation.

Methodology

Three iron rules of real data

Defining what "training-worthy" data means — from the source.

RULE 01

Fixed Workbench Rule

All tasks run on a fixed workbench — concentrated motions with no wasted movement, ensuring a consistent foundation.

RULE 02

Environmental Diversity

Varying tablecloths, materials and backdrops enriches scene variables and improves cross-environment generalization.

RULE 03

Production-meaning Standard

Every action produces a visible state change — no meaningless staging, real training value.

Full-view Stereo Capture

Each rig deploys 4–5 professional cameras forming a stereo capture network — full spatial coverage with no blind spots, restoring complete spatial detail.

Global Prohibition List

Dangerous operations, violations and privacy/copyright-sensitive actions are explicitly prohibited at the source — compliant and controllable.

Rights & Security

The data is yours, the security is ours

Rights & Privacy

Data Rights & Privacy

  • Data ownership
    Fully owned by the purchaser; unauthorized use strictly prohibited
  • Mandatory PII masking
    Faces and ID numbers masked throughout the pipeline
  • Closed-loop privacy control
    From capture to destruction, no leakage
  • Strict access approval
    Least-privilege principle, authorized personnel only
Security & Certification

Security & Certification

  • ISO 55013
    The world's first data asset management system certification
  • Physical & network protection
    Dedicated devices, encrypted storage, isolated transmission
  • Regular security audits
    Third-party audits to surface risks
  • Incident response
    24×7 response to security events
Engagement

Four models for every stage

From standardized services to deep custom R&D.

A

Standardized Collection

On-demand multimodal collection across speech, image and text, with real, diverse scenes.

B

End-to-end Service

A full closed loop from raw capture and cleaning to professional annotation, with strict QA.

C

Off-the-shelf Stock

10,000+ annotated hours across industries and languages — buy and use immediately.

D

Joint Custom R&D

Co-define data tasks and technical solutions for your specific pain points, from research to deployment.

Process

Five standardized steps, clear checkpoints

01

Requirement intake

Share your needs; we assess and propose solutions with detailed quotes.

3–5 business days
02

Proposal confirmation

Confirm deliverable specs, schedule and commercial terms; sign the agreement.

3–5 business days
03

Pilot delivery

Small-scale pilot capture and delivery for acceptance validation.

Pilot
04

Batch delivery

Scale up with scheduled batch deliveries of data and QC reports.

Per contract
05

Continuous optimization

Iterate service flows and delivery quality as needs evolve.

Full lifecycle

Let the next robot learn from real data

Whether you need stock datasets or targeted collection, we are ready for the next leg.

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