Process sensor and IoT data locally to enable instant insights.
Accelerate Insights. Enhance Efficiency. Transform Operations at the Edge.
In an era where real-time decisions define success, Y&L’s Edge Computing Services empower you to process data where it’s created-reducing latency, optimizing bandwidth, and enabling intelligent automation. Transform your operations with localized analytics, enhanced security, and scalable infrastructure designed for the distributed enterprise.
The explosion of IoT devices, 5G networks, and AI-driven workflows demands faster, localized data processing. With Y&L, you can:
Reduce latency for mission-critical applications like autonomous systems and industrial IoT.
Strengthen data security by minimizing sensitive data transmission to centralized clouds.
Cut operational costs through bandwidth optimization and reduced cloud dependency.
Enable real-time decision-making in manufacturing, healthcare, and smart infrastructure.
Y&L delivers tailored edge solutions that bridge the gap between devices and centralized systems, ensuring agility and performance.
Process sensor and IoT data locally to enable instant insights.
Deploy lightweight AI models at the edge for instant inference.
Build secure, low-latency networks for industries requiring localized processing.
Integrate legacy systems with modern cloud platforms via intelligent gateways.
Seamlessly manage workloads across edge nodes and centralized clouds.
Protect data at source with zero-trust architectures and localized encryption.
Develop bespoke solutions for unique latency, scalability, or regulatory needs.
Y&L leverages industry-leading frameworks and infrastructure to deliver robust edge solutions:
Y&L’s Edge Computing expertise delivers measurable results across:
Take our Edge Opportunity Assessment or Book a Complimentary Strategy Session with our experts. Let’s turn your distributed data into your next competitive advantage.
Edge processes data locally at source devices; cloud relies on centralized servers. Hybrid models balance both.
A clear use case (e.g., latency-sensitive apps) and compatible hardware/network infrastructure. We handle the rest
Zero-trust architectures, hardware-based encryption, and continuous vulnerability scanning.
Absolutely. We design hybrid systems that optimize workload placement based on cost/performance needs.