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Physical AI & Robotics Data

End-to-end robotics data collection done right.

Most robotics programs fail at the data collection layer — not the model layer. Welo Data delivers the operational expertise, secure lab infrastructure, and multilingual depth that make physical AI training programs succeed from day one.

Scope Your Physical AI Needs
155+
Locales
8+
Global Regions
14+
Secure Facilities
● End-to-End Collection Programs ● Secure Lab Setup & Management ● Multilingual Voice & Language Data ● Accent & Dialect Coverage ● Safety & Compliance Protocols ● Roster Management & Scheduling ● Human-in-the-Loop QA ● Demographic & Diversity Sourcing ● Annotation & Data Delivery ● IP & InfoSec Protection ● End-to-End Collection Programs ● Secure Lab Setup & Management ● Multilingual Voice & Language Data ● Accent & Dialect Coverage ● Safety & Compliance Protocols ● Roster Management & Scheduling ● Human-in-the-Loop QA ● Demographic & Diversity Sourcing ● Annotation & Data Delivery ● IP & InfoSec Protection
Trusted by teams operating production-grade AI systems
Google
amazon
●Spotify®
workday.
✦SQUARESPACE
✦Dropbox
Microsoft
AI Cloud Partner
aws
partner network
✦databricks

Data collection for physical AI is a logistics problem as much as a language problem. Setting up a secure lab, managing a compliant roster, hitting a launch-dependent deadline, protecting client IP — these are where programs succeed or fail. Welo Data has the infrastructure, the expertise, and the multilingual depth to deliver all of it.

Our Differentiation

Where Welo Data wins for Physical AI

Collecting robotics training data isn’t just a staffing challenge — it’s a full operational program. Welo Data brings proven expertise across every layer: from secure lab setup and safety compliance to multilingual depth and end-to-end data delivery.

01

Operational Excellence & Lab Management

We know how to set up and run collection labs — sourcing the right space, managing compliance, coordinating schedules around hard launch deadlines. With offices across low-cost global regions and certified secure facilities, we bring the infrastructure that makes complex programs possible.

Lab Operations
02

Security, Safety & Compliance

Physical AI collection requires protecting sensitive client hardware, software, and IP — and ensuring the safety of everyone interacting with the robots. We bring security protocols, InfoSec standards, and the certifications needed to operate in controlled, high-stakes environments.

IP & Safety Compliance
03

Demographic & Diversity Sourcing

Robots must perform across body types, ages, abilities, and mobility profiles. We source participants that reflect real-world users — including people with disabilities — ensuring your model generalizes to the full range of humans it will interact with.

Participant Diversity
04

Multilingual & Accent Coverage

3 out of 4 English speakers speak it as a second language. A robot that only understands standard American English fails most of the people it serves. We build training data across 155+ locales, accents, and dialects — so your product works for everyone.

Language & Speech
05

Annotation & Quality Assurance

From raw collection to labeled, model-ready datasets, we handle the full annotation pipeline — with human-in-the-loop QA and LLM-augmented workflows that maintain quality as programs scale. You get the data, not the headache.

End-to-End QA
06

Experienced Delivery Leadership

Our team has managed some of the most complex physical data collection programs in the industry — including custom hardware sensor kits, precision tolerance collection requirements, and time-critical programs where a missed launch date isn’t an option.

Proven Track Record
Physical Stakes

Robotics data collection is harder than it looks — and the consequences are real.

In software AI, a poorly managed data program delays a release. In physical AI, it can stop a launch, ground a program, or injure a worker. The vendors who get hired and then fail aren’t doing it maliciously — they just don’t have the infrastructure to deliver at this level.

Welo Data has spent years building the operational muscle, the compliance frameworks, and the multilingual expertise to run physical AI data programs that actually land.

Vendor Failure Is a Known Risk
Robotics clients across the industry have been burned by partners who promised managed collection and couldn’t deliver. Roster mismanagement, safety gaps, and missed deadlines are widespread problems — not edge cases.
IP & Hardware Security Is Non-Negotiable
Pre-commercial robotics hardware is among the most sensitive IP in tech. Labs must be secured, access controlled, and data pipelines audited — from day one of collection.
Language Failure → Safety Failure
3 in 4 English speakers worldwide use it as a second language — not their first. A robot that misinterprets a command from an accented or non-native speaker is a safety issue, not a UX issue.
Data Collection Is ~90% of the Robotics Problem
The model is the last mile. The real challenge is building a program that sources the right participants, captures the right data, and delivers on time — at scale and with quality.
Our Process

Give it to us. We handle everything.

You want to improve your robotics models. We rent the space, get the people, secure the environment, run collection, check the quality, and deliver model-ready data. You don’t need to manage any of it.

01

Program Scoping

We map your use case, task types, participant demographics, timeline, and compliance requirements — building the program architecture before a single collection day begins.

02

Lab Setup & Compliance

We source and configure the right facility — whether a dedicated studio, partner location, or one of our 14+ global sites — with full InfoSec, safety protocols, and participant certifications in place.

03

Sourcing, Scheduling & Collection

We recruit participants across the demographics your model needs, manage schedules around your hard deadlines, and run on-site collection with experienced leadership who’ve done this at scale before.

04

Annotation, QA & Delivery

Raw data becomes labeled, model-ready datasets — with multilingual annotation, human-in-the-loop quality checks, and structured delivery formats your team can use immediately.

Applications

Domains we serve

Industrial & Warehouse
Collaborative Robots
Healthcare & Assistive
Retail & Customer-Facing
Agriculture & Field
Construction & Infrastructure
Why Welo Data

The end-to-end robotics data partner — built for complexity.

Most annotation providers built their robotics practice around tooling. Welo Data built ours around operational excellence and human expertise — the layer that determines whether a physical AI data program delivers or falls apart on site.

Let’s talk about your collection requirements — lab logistics, compliance needs, multilingual coverage, and timeline. We’ll tell you exactly how we’d scope it.

Tell Us What You’re Working On
155+
Locales Covered
Deep multilingual and accent coverage across locales worldwide
8+
Global Regions
On-the-ground teams and offices including low-cost collection markets
14+
Secure Facilities
Controlled labs for sensitive physical AI programs with full InfoSec protocols
E2E
End-to-End Delivery
From lab setup and participant sourcing through annotation and model-ready delivery
FAQ

Common questions about our robotics data programs

Everything you need to know before scoping your first program with Welo Data.

What types of physical AI data does Welo Data collect?
We collect motion capture, sensor data, speech and language, egocentric video, object interaction sequences, and task demonstration data. Collection is designed end-to-end around your model’s specific requirements — from participant demographics and environment setup to annotation schema and delivery format.
Do you operate your own labs, or do you use third-party facilities?
Both. We operate 14+ secure, managed facilities globally, and we can also source, configure, and run partner locations when your program requires a specific geography or environment type. Either way, our team owns InfoSec setup, access controls, and on-site operations from day one.
How do you handle sensitive or pre-commercial hardware?
Pre-commercial robotics IP requires a purpose-built security posture. We design collection environments with controlled access, NDAs, device-level restrictions, and audited data pipelines from the outset — not as an afterthought. Our team has direct experience running programs for early-stage hardware that can’t be exposed to general participants or uncontrolled environments.
What languages and locales do you support for multilingual robotics data?
We cover 155+ locales across 8+ global regions, with native-speaker access and accent/dialect coverage across major and emerging languages. This includes languages that other providers frequently deprioritize — critical for robotics programs deploying in markets where English is rarely workers’ first language.
Can you handle annotation and QA as well as collection?
Yes — and this is a key part of our end-to-end model. Raw physical AI data requires specialized annotation workflows: 3D bounding boxes, skeleton tracking, action segmentation, intent labeling, and multilingual transcription. We run human-in-the-loop QA at each stage and deliver model-ready datasets your team can use immediately.
How quickly can a program be scoped and launched?
Timeline depends on program complexity, geography, and compliance requirements — but our teams are structured to move fast. We’ve stood up collection programs in weeks when the situation calls for it. The first step is a scoping conversation: tell us your use case, and we’ll give you an honest timeline.