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At embedUR systems, we help companies accelerate Edge AI development—from proof-of-concept to production—by delivering high-performance AI on resource-constrained devices. We offer full-stack Edge AI services, including model optimization, firmware integration, hardware bring-up, and platform tuning, helping product teams go from idea to deployment—fast. Whether you're building intelligent cameras, sensors, gateways, or wearables, we bring the expertise to make your devices smarter, more autonomous, and power-efficient. To further accelerate development, we built ModelNova—a curated library of 100+ pre-trained, production-ready Edge AI models across vision, audio, and sensing domains. These models are optimized for real-world performance on small chips and are available to download, integrate, and retrain as needed. Our roots run deep in embedded software, networking, and telecom. With decades of experience in Wi-Fi, Access, and IoT platform enablement, and a reputation for delivering reliable software on time and within budget, we’ve supported startups and Fortune 500s alike. Our engineers—many of whom are experts in Wi-Fi, DOCSIS, and broadband—have long been the behind-the-scenes force powering global connectivity solutions. Headquartered in Silicon Valley with a global team of engineers, embedUR is your go-to partner when the challenge is complex, the timeline is tight, and success demands expert execution. Bring your Edge AI vision to life. Let’s build something extraordinary.

embedUR systems Questions

The embedUR systems annual revenue was $24.7 million in 2026.

Rajesh Subramaniam is the CEO and Founder of embedUR systems.

277 people are employed at embedUR systems.

embedUR systems is based in San Ramon, California.

The NAICS codes for embedUR systems are [541, 54, 5413, 54133].

The SIC codes for embedUR systems are [87, 871].

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