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Edge AI processes data on the device, rather than sending it to the cloud, enabling real-time decision-making and lower latency.
Local data processing ensures sensitive information stays on the device, reducing the risk of data breaches.
Edge AI works without relying on constant internet access, ensuring reliable performance even in network-limited environments.
Processing data locally minimizes bandwidth usage, reducing network costs and operational expenses.
Edge AI minimizes the energy consumption associated with transferring data to and from the cloud, making it more suitable for low-power or battery-operated devices.
Designed to work within the power, memory, and processing limits of compact devices like phones, cameras, and IoT systems.
Edge AI performs effectively in remote areas or resource-constrained environments where cloud access is limited.
Edge AI allows multiple devices to operate independently, reducing cloud server reliance and enabling scalable solutions.
Darwin Edge team are experts in optimizing ML and AI models for edge devices, such as smartphones, sensors, cameras, IoT devices, and industrial machinery.
With over seven years in the industry, Darwin Edge possesses the expertise in developing and deploying edge AI solutions across various sectors.
Our proprietary AI Toolkit and technology, accelerate time-to-market, allowing rapid deployment of Edge AI solutions.
We collaborate with top partners in healthcare and universities, to ensure reliability and keeping us at the forefront of Edge AI innovation.
We use advanced techniques like model pruning and quantization to ensure efficient Edge AI models that work within device constraints.
Darwin Edge specializes in custom AI solutions tailored to meet the unique requirements of each client, ensuring optimal integration and performance.
Our Swiss-made solutions meet global data privacy standards, including GDPR, ensuring secure Edge AI implementations.
Darwin Edge’s solutions are engineered for flexibility and can be deployed across a variety of platforms, ensuring seamless integration into your existing infrastructure. We support:
We support the creation of Edge AI applications for Linux Ubuntu x86, Linux Ubuntu x86/CUDA, Linux ARM, and MacOSx.
We create Edge AI solutions for both Android and iOS mobile application.
We develop Edge AI applications for WebAssembly, enabling AI processing directly in web browsers.
If your platform or device is not listed, feel free to request a free consultation.
To ensure that our solutions are as versatile and adaptable as possible, Darwin Edge supports a wide array of hardware platforms, enabling the deployment of our technology in various environments and applications. Our supported boards include:
We specialize in developing Edge AI applications for Nvidia Jetson.
We create Edge AI solutions for NXP iMX8.
We develop Edge AI applications for Synaptics platforms, in particular Synaptics Astra Machina.
We build Edge AI solutions for Raspberry Pi 4 and 5.
Edge AI processes data directly on the device, enabling real-time decision-making without sending data to the cloud. This reduces latency and minimizes bandwidth usage.
In contrast, cloud-based AI depends on constant internet connectivity and data transmission to central servers, which can introduce delays.
Edge AI also improves privacy and security by keeping sensitive data local, reducing the risk of breaches or unauthorized access during transmission.
Edge AI can be deployed on smartphones and tablets (iOS, Android), sensors, smart cameras, wearables, drones, autonomous vehicles, robotics, and embedded devices for smart homes and industrial automation. It also supports WebAssembly applications.
We work with hardware like Raspberry Pi 4/5, Nvidia Jetson, NXP iMX8, and systems running macOS, iOS, Android, and Linux Ubuntu x86/CUDA.
For other hardware setups, request a free consultation to explore custom Edge AI solutions.
Yes, Edge AI is flexible and can often be deployed on your existing hardware. AI models can be optimized to run efficiently based on your device’s processing power and memory. Darwin Edge has experience with various platforms and can evaluate your hardware for Edge AI deployment or recommend upgrades if needed. Request a free consultation to discuss your setup.
Edge AI models and applications can be updated remotely via secure software updates. Darwin Edge’s framework ensures seamless deployment of updates or new models to edge devices with no or limited downtime.
