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Sift and QNX team up to stream live sensor data from physical AI systems

September 21, 2026
Sift and QNX team up to stream live sensor data from physical AI systems

Sift, the data infrastructure platform for mission-critical hardware, has announced that it has joined forces with QNX, a division of BlackBerry Limited to deliver near real-time observability for embedded systems. Engineers building mission and safety critical systems can now stream live telemetry from QNX-powered systems directly into Sift and query that data within one second of leaving the device, without requiring changes to software running on the device itself.

Embedded in more than 275 million vehicles worldwide, QNX technology is trusted by OEMs and Tier 1s including BMW, Bosch, Continental, Geely, Honda, Hyundai, Mercedes-Benz, Toyota, Volkswagen and Volvo. Beyond automotive, QNX is increasingly serving as the software foundation for Physical AI, powering robotic systems, industrial automation, medical devices and other intelligent machines that must make real-world decisions safely and reliably. Yet many of the teams building these systems still lack the infrastructure needed to effectively capture, analyse and act on the vast amounts of sensor data they generate.

QNX provides the safety-certified software foundation for these devices, while Sift gives engineering teams a unified platform to analyse the telemetry they produce. Integration is simplified. Sift subscribes to the telemetry streams running on QNX OS already broadcast, including MQTT, and can take other protocols through custom ingestion paths. The integration allows live telemetry streaming from a device running QNX OS 8.0 through its existing MQTT broker into Sift, where each message is queryable using standard SQL within one second of leaving the device.

That matters most on complex machines. QNX-powered systems often produce thousands of separate measurements across dozens of subsystems, and Sift places them on a single timeline, allowing engineers to compare a fault event against the CPU load that preceded it or compare one unit against the previous hundred shipped.

“The next decade of hardware will be won by the teams that learn fastest from their machines,” said Austin Spiegel, the co-founder and CEO of Sift. “QNX runs the machines the world cannot afford to get wrong. A team should be able to plug in on day one and spend their time engineering, not building telemetry plumbing, and that is exactly what this partnership delivers.”

“Our customers build systems where safety and real-time performance are non-negotiable, and they are increasingly asked to do more with the data those systems generate,” said Romain Saha, the senior director of strategic alliances at QNX. “Sift gives them a validated, low-friction path from a QNX-powered device to real-time analysis and as Physical AI reshapes industries, access to real-world operational data is becoming a critical enabler of innovation.”

Sift is available today for teams working with QNX. Learn more at www.siftstack.com.

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