Emerson is collaborating with SiMa.ai to bring Physical AI capabilities to rugged industrial PCs, enabling real-time analysis and local decision-making on factory floors and remote industrial sites.
The collaboration will embed SiMa.ai machine learning system-on-chip technology into Emerson’s industrial PC platforms. By running AI workloads close to production assets, the companies aim to support applications where latency, connectivity, security, and harsh operating conditions limit the use of cloud-based analytics.
Industrial AI is shifting from offline analysis and centralised dashboards towards systems that can interpret operating data and support action at the edge. Images, video, audio, text, and sensor data can be processed locally to detect anomalies, inspect quality, monitor safety, optimise energy use, and support predictive maintenance while production continues.
Local processing also keeps sensitive production and process data on site, which is critical in air-gapped installations and regulated industrial control environments. It allows AI inference to run alongside core operational systems without forcing every decision through a remote data centre or exposing control-related workloads to external connectivity constraints.
“As operations teams leverage Physical AI at the edge, they move beyond simple monitoring to closed-loop autonomy where they can adjust processes in real time — minimising product defects early in the production phase, reducing waste and increasing production efficiency,” said Krishna Rangasayee, chief executive officer of SiMa.ai.
Emerson said the combined platform will support safety monitoring, computer vision, asset performance analysis, quality inspection, predictive maintenance, compressed air optimisation, energy efficiency, packaging performance, semiconductor manufacturing, and oil and gas applications including wellhead management and flare monitoring.
SiMa.ai’s MLSoC provides AI acceleration with a low thermal footprint, allowing Emerson’s industrial PCs to support high-throughput workloads in a compact ruggedised platform. Emerson says the systems can withstand high vibration and shock, with operation across temperatures from -40°F to 140°F.
“As organisations accelerate their journey toward autonomous operations, the ability to deploy intelligent capabilities at the edge with industrial-grade reliability and security is essential,” said Ram Krishnan, chief operating officer of Emerson. “Our partnership with SiMa.ai brings specialised AI computing technology to our industrial PCs that — combined with our integrated sensor technology, edge software and enterprise analytics — delivers the complete AI solution industrial organisations need not just to compete today, but also to thrive well into the future.”
The partnership strengthens Emerson’s industrial edge stack, which combines PLCs, AI-enabled IPCs, IIoT-ready SCADA/HMI software, smart sensors, and enterprise analytics. That architecture is intended to support autonomous safety, improved equipment effectiveness, quality control, energy optimisation, and operational continuity in remote or mission-critical environments.
Further information is available through Emerson’s industrial computing portfolio and SiMa.ai.
