On-device Real-time AI Platform for E-commerce
Boost conversion and order value with truly real-time personalized search, recommendations and more, augmented by Gen AI.
Avoid breaking the bank on cloud costs with on-device AI.
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 e-commerce apps across fashion, food, beauty, travel and more
Real-time Personalized Product Recommendations
Serve personalized product recommendations incorporating session context on checkout, product pages and more
~5% increase in GMV from recommendations
GenAI augmented Real-time Personalized Search
Supercharge discovery with GenAI driven personalized search that truly understands your users' real-time intent
upto 20% uptick in product views from search results
GenAI based In-App Co-Pilot
Delight customers with an in-app AI assistant, with full session context capable of real-time generation
upto 10% improvement in conversion
Real-time Personalized Product Recommendations
Serve personalized product recommendations incorporating session context on checkout, product pages and more
upto 20% improvement in click through rate
Session-aware Personalized Homepage
Deliver tailored homepage feeds incorporating in-session user-product interactions (e.g. clicks, favorites)
8-10% uptick in homepage Gross Merchandise Value (GMV)
Streamline the complete AI lifecycle with NimbleEdge platform
GenAI Models
Event Ingestion
Unleash the power of personalized, real-time AI on device
Improve gamer engagement and cut dropoff with GenAI driven experince, personalized to to incorporate in-session 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
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Unlock real-time personalization in your mobile app with on-device machine learning
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