NimbleEdge
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About
NimbleEdge offers a fully managed on-device machine learning platform designed to enable real-time personalization in mobile applications. By leveraging the processing power of user devices, NimbleEdge reduces cloud costs by over 50% while ensuring user privacy through minimal data transfer to cloud servers. The platform supports numerous industries, including e-commerce, gaming, and media, providing tailored user experiences and rapid ML inference with low latency. NimbleEdge's technology also incorporates federated learning to enable individualized machine learning models for enhanced user recommendations. With scalability in mind, it helps businesses manage surges in user traffic without incremental complexity, all while ensuring compliance with data privacy standards.
Platform
Features
• on-device machine learning
• real-time personalization
• federated learning
• privacy-preserving technology
• unlimited ml inference per user
• seamless over-the-air updates
FAQs
What is the product and what does engagement look like?
NimbleEdge HOME is a PaaS for deploying and managing your ML SDK integrated into your mobile app on the edge.
How is the NimbleEdge subscription priced?
NimbleEdge PaaS is consumption-based, based on the number of API requests made to the SDK embedded in your app.
What are the phases of interacting with NimbleEdge in the first 90 days?
Access to NimbleEdge Cloud and SDK, integration of your model into the SDK, and deployment of the enabled app.
Is there a limitation on the models to be used with NimbleEdge?
No, both existing models and those produced by NimbleEdge can be used after the initial deployment.
How does NimbleEdge reduce privacy risks and costs?
By not sending PII to the central cloud and leveraging on-device capabilities, compliance costs can be significantly lowered.
Pricing Plans
Premium
USD200.00 / per 1000 requests• Includes all Standard features
• SDK training
• NimbleEdge consulting services
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