On-device ML platform for real-time personalization in mobile apps
Delight users and boost conversion with real-time personalized experiences, using machine learning executed on users' mobile devices
Deliver real-time personalization without worrying about Cloud costs
Reduce cloud costs for real-time machine learning by >50%, with machine learning executed end-to-end on users' mobile devices
Enhance privacy posture by minimizing user data sent to cloud servers with on-device machine learning
Deliver rapid real-time predictions (<50ms end-to-end latency) with ML inference execution on user smartphones
Handle rapid traffic surges with zero incremental operational complexity using on-device machine learning
Unlock the power of on-device, real-time personalization in your mobile apps
Boost conversion and average order value by delivering tailored user experiences, which adapt in real-time based on in-session user behavior
Improve gamer engagement and cut dropoff with game experiences personalized in real-time to incorporate in-session user behavior
Increase engagement by serving highly relevant content that rapidly adapts to in-session user interactions (e.g. clicks, likes)
Manage both on-device ML orchestration and execution with NimbleEdge platform
Unlock real-time personalization with NimbleEdge on-device ML Platform
Edge Data Warehouse and Processor
On-device managed database and query engine providing real-time persistent information at latencies of <1 millisecond
Edge Inference Engine
Fully compatible with existing ML models written in PyTorch, Tensorflow, LightGBM, XGBoost, ONNX, and Numpy. No more rewriting models for the edge
Edge Federated Learning
Privacy-preserving on-device training suite, enabling enterprises to train 100 Million+ individualized Machine Learning (ML) models across 100 Million+ user devices
Edge Feature Store & Data Orchestration Plugins
A continuously cloud-synced, in-memory data replica that precomputes features in <80 microseconds for real-time inference – 1000x faster than central cloud feature stores
Data privacy and security
NimbleEdge is SOC2 Type-2 and ISO 27001:2022 certified, and user data privacy and security is a massive priority for us
