BOS Semiconductors Selects Ceva AI DSP for Next-Gen ADAS SoC

January 20, 2026
BOS Semiconductors has licensed Ceva’s SensPro AI DSP architecture for its Eagle-A automotive SoC, designed to enhance real-time perception and sensor fusion in advanced driver assistance systems.

BOS Semiconductors has licensed the SensPro AI DSP architecture from Ceva, Inc. for its Eagle-A standalone automotive system-on-chip (SoC), announced in a press release.

The Eagle-A SoC combines a neural processing unit, CPU, and GPU with interfaces for camera, LiDAR, and radar fusion to support advanced driver assistance and autonomous driving systems. Ceva’s SensPro AI DSP is optimized for LiDAR and radar pre-processing, enabling efficient handling of raw sensor data and reducing latency in perception pipelines.

BOS Semiconductors’ Eagle-A uses a chiplet-based strategy that allows integration with its Eagle-N AI accelerator through UCIe and PCIe connections. This modular approach supports scalable compute performance for different ADAS and autonomous driving requirements. The company also noted that the Eagle series architecture can be deployed in edge AI applications such as robotics and drones.

According to BOS Semiconductors, the SensPro AI DSP contributes to achieving its design goals for performance, safety, and scalability in ADAS applications, enabling real-time data integration from multiple sensors for accurate vehicle perception.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Enterprise AI Brief, Silicon Brief or Daily AI Brief.

Also, consider following us on social media:

Subscribe to Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

Industry analysis

2025 Global Business Services Agenda: Gen AI Takes Center Stage

The Hackett Group

This industry analysis by The Hackett Group explores the transformative impact of generative artificial intelligence (Gen AI) on global business services (GBS) in 2025. The study highlights the shift from exploration to acceleration of Gen AI initiatives, with 89% of executives advancing these projects to improve customer satisfaction, innovate products, and reduce costs. The report also discusses the challenges and strategies for successful Gen AI adoption, emphasizing the need for a technology-enabled operating model and the importance of reskilling the workforce.

Read more