On-device ML platform for real-time personalization in Gaming
Enhance gamer engagement with truly real-time personalized experiences.
Avoid compromising user privacy or breaking the bank on cloud costs using 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 real-time gaming use-cases
Real-time In-app Purchase Recommendations
Provide tailored recommendations incorporating in-session user-product interactions (e.g. clicks, purchases)
>5% uptick in Gross Merchandise value
Real-time Personalized Game Recommendations
Deliver personalized game recommendations that adapt with real-time user actions (e.g. game joins, views)
6-8% increase in conversion
Real-time Personalized Offers & Promotions
Leverage real-time user data (e.g. wins/ losses) to showcase offers and promotions geared for conversion
>10% increase in redemption rates
Real-time Fraud and Cheating Detection
Accurately and rapidly detect fraud and cheating with on-device ML that leverages real-time user behavior
>5% increase in detection accuracy
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
Orchestration
Platform
Unlock real-time personalization in your mobile app with on-device machine learning
E-Commerce
Media &
Entertainement
Entertainment
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