Edge Impulse

We recently sat down with Zin Thein Kyaw, head of solutions engineering here at Edge Impulse, to talk about the evolving landscape of #edgeAI and how this technology is transforming industries like laundry automation and pet care. In the discussion, Zin covers: - The role of AI in augmenting the workforce, rather than replacing jobs -Real-world customer production use cases with HP Poly and Purina -Common misconceptions about data readiness and model accuracy And lots more. Check out the full discussion: https://lnkd.in/gynVEDdT And reach out to Zin or Edge Impulse here on Linkedin or on any of our channels to talk about your use case.

One of our Applied Research Engineers, Yan L., built a smaller, open-data-trained audio embedding model for real-world sound classification and anomaly detection use cases. Here's how it came together. https://lnkd.in/eKAQNFP5 #edgeAI #AI

At its core, edge AI is as close to the data as possible, exactly where it's being collected. Edge Impulse developer relations engineer Brian McFadden breaks down the distinction of edge vs cloud in this moment from our Imagine Innovators conference. Learn more and get started with Edge Impulse: https://lnkd.in/gEsSsyVG #ai #edgeai #imagineinnovators

Engineering teams face a critical choice: invest months building infrastructure—or accelerate innovation with a proven platform. With Edge Impulse, you get: 🔧 Production-ready pipelines for data ingestion, model training, and deployment 📈 Proven performance benchmarks across real-world edge devices 🔒 Enterprise-grade security and compliance baked in 🧑💻 Full transparency and control over your ML lifecycle Don’t reinvent the wheel. Focus your team on what matters: launching great products, not building AI models.

Still debating whether to build your edge AI stack from scratch? Discover how Edge Impulse helps you: ✅ Accelerate time to market ✅ Slash development costs ✅ Scale effortlessly across devices ✅ Tap into expert support and a thriving dev community Skip the complexity. Start innovating faster with Edge Impulse.

Get a free 2-week, hands-on trial with Edge Impulse's ML experts. Our solutions engineers will assess your data compatibility, optimize models, and validate feasibility for anomaly detection, predictive maintenance, or smart devices. 10-20 hours of guided experience. Limited spots available.