Industry News
How to solve the headache of cross-border data compliance?
Robots going overseas has become a normal trend in the industry. Overseas factories, labs, and service scenarios are continuously being set up. Multimodal sensory data, equipment operation data, and environmental interaction data need to flow frequently between domestic and international locations. But regulations vary greatly around the world, and cross-border data compliance has become the biggest hurdle for embodied intelligence going global.
Data regulations around the world are getting tighter.
The EU's GDPR strictly controls sensitive data collected by robots, like faces and gait, with fines up to 6% of global revenue for violations;
Many Southeast Asian countries require that local scenario data must be stored domestically;
In China, important robot training data leaving the country needs to go through security assessments and registration.
Most companies are stuck in a dilemma:
Building an internal compliance system is costly and cumbersome;
Blindly transmitting data could lead to huge fines and project shutdowns.
On one side, there's the need to expand global business, and on the other, there’s strict cross-border regulation—data just has nowhere to go.
Data compliance isn't just a legal document issue; it's more of an underlying infrastructure problem.
In the traditional model, companies can only build two separate data systems, one for domestic use and one for overseas:
Domestic collection, overseas storage, with no way to share or reuse data;
Every time data is transferred across borders, it requires repeated desensitization, assessment, and filing, which significantly slows down iteration efficiency.
The core demand of the Physical AI industry is a single underlying platform that can comply with global regulations and enable seamless data flow everywhere.
It needs to protect domestic data security while also meeting overseas regulatory requirements, achieving safe and efficient two-way data circulation.
Rooted in China’s Physical AI, we’re building a full-chain compliant data supply chain for the future.
We base ourselves on local, full-scale data infrastructure and provide ready-to-deploy cross-border data solutions:
1. Automated Data Classification & Masking
Automatically classify robot vision, tactile, and production data, stripping out sensitive info like faces and location to reduce cross-border compliance risks from the source;
2. Regional Distributed Node Deployment
Adapt to storage regulations in the EU, Southeast Asia, and North America, keep overseas data local, and sync core training data cross-border legally after registration;
3. One-Stop Export Filing Support
Provide complete services for data security assessment, material pre-check, and full filing process, opening an official channel for domestic data exports via China News Network;
4. Full-Chain Data Traceability & Audit
Keep complete logs of data collection, cleaning, transmission, and usage, ready to provide compliance proof to regulators anytime.
No need for companies to build separate legal or tech compliance teams—a single platform manages global data flows and delivers clean, compliant data fuel for robots.
The industry is forming a new consensus:
Simply making robot hardware or algorithms can't support a global rollout;
It's the all-encompassing data infrastructure with cross-border compliance capabilities that's essential for going overseas.
In the past, companies going abroad competed on products and prices, but today it's about compliance and data flow capabilities.
Local Physical AI platforms are connecting domestic technology with global market data channels, so embodied intelligence companies no longer have to stop overseas expansion because of cross-border data barriers.
