Upstream Expands Platform to Support Physical AI Applications

BIRMINGHAM, Mich., Oct. 8, 2026 /CourierPR/ -- Upstream, a leading behavioral intelligence platform for the automotive industry, has expanded its technology to support a broader range of Physical AI applications. Building on its experience with connected and autonomous vehicles, the company now offers its digital twin infrastructure to robots, humanoids, drones, and industrial machines.

Upstream, which has been trusted by major automotive Original Equipment Manufacturers (OEMs) and smart mobility stakeholders, is extending its reach into the Physical AI market. The company's platform, which has been proven across more than 40 million connected assets, will now support a variety of autonomous machines, including robots, humanoids, drones, and autonomous mobile robots (AMRs). This expansion aims to address the growing demand for advanced Physical AI systems, which are projected to attract more than $500 billion by 2030, according to PwC.

Yoav Levy, co-founder and CEO of Upstream, emphasized the importance of the company's technology in the Physical AI era.

The expansion of Upstream's platform comes as the EU Cyber Resilience Act takes effect, requiring manufacturers of connected products, including robots and drones, to report actively exploited vulnerabilities and severe security incidents within 24 hours of discovery, followed by full notification within 72 hours. Upstream has spent years helping automotive OEMs meet comparable obligations under UNECE WP.29 R155 and ISO/SAE 21434, and views the Cyber Resilience Act as a turning point for Physical AI stakeholders.

At the heart of Upstream's platform is the live digital twin, a continuously updated behavioral representation of every connected machine and the digital ecosystem around it. The platform's hardware- and protocol-agnostic architecture transforms complex telemetry from vehicles, robots, drones, humanoids, and industrial machines into live digital twins without requiring software agents on the device. The platform can operate within the customer's cloud environment and offers the flexibility to work with various frontier and open-weight AI models, helping organizations maintain control and sovereignty over their data.

By combining telemetry, operational state, mission context, software activity, and anomalies, Upstream enables organizations to understand not only what happened but how a machine is behaving and why. This behavioral context powers four critical applications across Physical AI: cybersecurity, quality and safety, operations, and compliance. The platform provides real-time visibility into device and fleet behavior, improving fleet health, utilization, and uptime, and maintaining continuous visibility and auditable evidence across connected products.

Upstream will continue to grow its automotive business alongside its Physical AI practice, applying the same live digital twin infrastructure across both markets. The company's expansion into the Physical AI market underscores its commitment to addressing the evolving needs of the industry and ensuring the security and reliability of autonomous machines.