On-device Real-time AI Platform for Gaming
Enhance gamer engagement with truly real-time personalized experiences, augmented by GenAI.
Avoid breaking the bank on cloud costs with on-device execution.
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
GenAI based
In-app Co-pilot
Serve personalized guidance and tips, both prompted and unpprompted, with a GenAI based, session-aware co-pilot
upto 10% improvement in conversion
Real-time In-app Purchase Recommendations
Provide tailored recommendations incorporating in-session user interactions (e.g. win/loss, purchases)
10-15% 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
Streamline the complete AI lifecycle with NimbleEdge platform
GenAI Models
Event Ingestion
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
Unleash the power of personalized, real-time AI on device
Boost conversion and average order value by delivering tailored, GenAI powered user experiences, that adapt in real-time based on user behavior
Optimize content discovery using GenAI, with highly personalized user experiences that adapt to in-session user interactions
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
Unlock real-time personalization in your mobile app with on-device machine learning
E-Commerce
Media &
Entertainement
Entertainment
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