Service robots are moving quickly into healthcare, security, and public environments. Yet their increasing reliance on visual and spatial perception technologies has introduced a major hurdle: uploading raw visual data to the cloud now poses significant privacy and regulatory risks. European and U.S. regulators have recently designated mobile image collection as a high-risk activity, shifting the robotics industry from a "performance-driven" model to one fundamentally shaped by compliance requirements. This shift is redefining what it takes for robotic systems to scale safely and legally.
To address these emerging requirements, DeCloak Intelligences has developed a portfolio of privacy-preserving AI systems that rearchitect how visual intelligence is handled at the edge. This includes DeCloakFace, designed for safeguarding personal biometric traits; DeCloakVision, tailored for medical and caregiving environments; and the company's third-generation core platform DeCloakBrain, developed specifically for autonomous robotics. DeCloakBrain functions as a generic AI decision-making engine for robotic autonomy, enabling spatial perception and task execution without relying on sensitive visual data, making it a foundational technology for future large-scale deployments across regulated environments.
According to DeCloak President Dr. Yao-Tung Tsou, the company's core innovation lies in "privacy-by-design at the data source," ensuring that all sensor inputs - such as images and numerical data - undergo irreversible de-identification directly on edge devices at the moment of capture. This is achieved through multilayer techniques integrating differential privacy on edge hardware, image anonymization, spatial computing, global visual fusion, and federated learning. With its proprietary irreversible de-identification technology, DeCloakBrain maintains high-accuracy, low-latency decision-making without using original sensor data. The technology is already modularized across software and hardware, enabling rapid, secure deployment and seamless integration with AMRs, medical service robots, humanoids, and quadruped robots, while supporting scalability in both performance and functionality.
From a compliance standpoint, DeCloakBrain aligns with stringent privacy regulations in the US and EU. This allows international customers to meet privacy and safety requirements for public spaces, medical applications, and defense-related use cases, mitigating cross-border deployment risks. Dr. Tsou emphasized that DeCloak's intelligent system is built upon years of accumulated datasets, patented de-identification models, VLM/VLA scenario libraries, and long-standing integration experience with global robotics supply chains. This foundation forms a difficult-to-replicate ecosystem for privacy-preserving intelligence, offering verifiable data protection and robust multi-device interoperability.
DeCloak enters a pivotal scale-up year as Japan, US, and Europe markets take shape
In its global expansion strategy, DeCloak identifies Japan as its fastest-moving commercialization market, with public-space monitoring and smart healthcare positioned as the initial priority sectors. The company's integrated systems for these applications have completed deep technical alignment and are now progressing into phased deployment.
In the United States, market development is led by partners specializing in military and law-enforcement robotics. Their systems - already used in defense and policing scenarios - are undergoing military - and police-grade certification, targeting applications such as public-area patrol and security inspection. In Europe, where data and imaging regulations are among the world's strictest, DeCloak follows a software-licensing and system-integration model that enables local manufacturers to rapidly incorporate privacy-protection capabilities into existing hardware platforms.
Looking ahead, DeCloak plans to scale shipments across Taiwan and Japan while supporting major clients in deploying smart healthcare, public-space security, and related applications. Japan is expected to become the company's first overseas market to reach meaningful revenue scale. In the United States, following nearly a year of testing DeCloakBrain hardware and software modules with military and law-enforcement partners, the company anticipates entering a "mass production and shipment" phase in 2026, covering use cases such as defense systems, public-area surveillance, and inspections in high-risk operational environments.
Additionally, DeCloak's US partners will arrange on-site demonstrations for key customers during CES 2026, serving as a critical evaluation step prior to formal procurement. Europe will enter a full-scale development phase in 2026, centered on software licensing and system integration, enabling manufacturers in Poland, the UK, Germany, and other regions to meet stringent regulatory requirements while adopting solutions for smart healthcare, public-space monitoring, and data-privacy protection.
President Dr. Yao-Tung Tsou emphasized that as DeCloak's multi-market strategy matures, the company is positioned at a crucial inflection point where technological readiness converges with commercial acceleration. He noted that 2026 will mark DeCloak's transition from "technology completed" to "global scale-up," with the company committed to expanding real-world deployments and advancing privacy-preserving intelligence and autonomous robotics onto the global stage - defining the next generation of AI-driven robotic intelligence standards.
DeCloak's next-generation privacy-preserving AI universal decision platform for robotic systems. Credit: DeCloak
