Edge AI for real-time intelligence

Algorithma’s edge AI solutions address challenges such as latency in centralized processing, limited processing power in edge environments, resource-intensive AI models, and data privacy concerns. Our solutions enable efficient, local AI processing for immediate insights, enhanced privacy and increased operational efficiency.

"Edge AI not only brings intelligence closer to where the data is generated, but it also enhances privacy by processing sensitive information locally. This combination of real-time insights and privacy is crucial for today's connected environments."

Anna Samuelsson, Data scientist

How Algorithma can help you

We specialize in deploying AI models directly onto edge devices, enabling local data processing and reducing reliance on centralized systems.
Our Edge AI solutions allow for rapid, real-time processing of data, ensuring that insights and actions are immediate, critical for applications like autonomous systems and IoT.
We develop lightweight, optimized AI models that can operate efficiently on low-power edge devices, extending their lifespan and ensuring energy efficiency.
By processing data locally on edge devices, we eliminate the need to transmit sensitive data to the cloud, significantly improving privacy and security.

Our latest thinking

Latest thinking

Feb 19, 2024

Federated machine learning and hybrid infrastructure as levers to accelerate artificial intelligence

Feb 19, 2024

The exponential growth of AI applications open doors to countless opportunities, but it also presents a critical challenge: balancing the power of data-driven insights with the fundamental right to data privacy. Users increasingly prioritize control over their information, while regulations like GDPR and CCPA demand rigorous data protection measures. This complex intersection creates a need for innovative approaches that reconcile user preferences, regulatory compliance, and the need for efficient AI development. Federated machine learning, differential privacy, edge computing and hybrid infrastructure help us navigate these complexities.