On-device ML platform for real-time personalization in Media & Entertainment
Boost user engagement with truly real-time personalized feeds, search and more.
Avoid compromising user privacy or breaking the bank on cloud costs with on-device ML.
NimbleEdge executes real-time ML pipelines on users' mobile devices, from in-session data capture to ML inference
This unlocks rapid, cost-effective and privacy-preserving ML for a wide variety of session-aware use-cases for media and entertainment apps, including personalized feeds, search, recommendations and more
Session-aware Personalized Feeds
Deliver tailored feeds incorporating in-session user-product interactions (e.g. clicks, likes)
8-10% uptick in key engagement metrics
Real-time Personalized Recommendations
Serve personalized recommendations with session context (e.g. likes, views) fully baked into your recommendation systems
6-8% improvement in ranking metrics
Session-aware personalized search
Capture and process real-time user data (e.g. clicks, likes) to showcase highly relevant search results
>5% improvement in ranking metrics
Real-time on-device content moderation
Use on-device machine learning to deliver rapid, cost-efficient content moderation
<100ms end-to-end latency
>50% lower costs vs. cloud
Truly real-time, privacy-preserving personalization at a fraction of the cost on cloud
Massive model performance improvement (>5%)
Incorporate real-time user behavior in your ML models, and instantly improve model accuracy
Enormous cloud cost savings (>50%)
Slash cloud costs by eliminating the need for cloud resources for real-time data processing and ML inference
Minimal end-to-end latency (<50ms)
Incorporate user inputs in ML systems instantly, going from event capture to inference in milliseconds
NimbleEdge Platform manages both orchestration and execution capabilities for on-device ML
on-the-fly updates
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Unlock real-time personalization in your mobile app with on-device machine learning
Gaming
E-Commerce