NimbleEdge Platform
Effortlessly deploy and execute real-time AI models on-device for session aware, privacy preserving personalization
Platform Architecture
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NimbleEdge Platform Architecture
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NimbleEdge
SDK
Ultra light-weight SDK integrated with mobile app to enable on-device AI
NimbleEdge
Cloud Service
Seamless on-device AI pipeline orchestration with NimbleEdge Cloud Service
NimbleEdge
User Portal
Comprehensive on-device AI experimentation and monitoring capabilities
NimbleEdge SDK
Ultra lightweight SDK integrated with mobile app to enable on-device AI capabilities
Managed on-device database to easily store real-time user interactions with a single SDK API call
Provisions to seamlessly adjust user events ingested on-device with single click toggle controls
Session-aware event stream processing using Python APIs with cross-session persistence
Full support for RAG and VectorDB on-device for effortless use-case customization
Pre-shipped state-of-the-art GenAI models with support for LoRA models to enable custom fine-tuning
On the fly asset deployment to devices with progessive rollout support
Highly optimized and performant on-device GenAI execution engine
Low-latency execution with minimal resource consumption (e.g. RAM, Battery) across device models
NimbleEdge Cloud Service
Seamless on-device AI pipeline orchestration service
Seamless serialization and hosting of AI models on-device, with orchestration control for model execution and data flow management
One-click, over the air updates for AI models and data processing scripts
Automatic routing of complex GenAI queries to more sophisticated models on cloud, ensuring stellar responses to each query
Pre-built cloud AI and storage integrations (AWS, GCP, Databricks, Azure) to enable use of existing models or sync with cloud feature stores
NimbleEdge User Portal
On-device AI experimentation and monitoring platform
Deploy models written in any framework (PyTorch, TensorFlow, ONNX, Numpy, XGBoost) with no extra effort for on-device modeling, including LoRA adapters
Seamless import of user session clickstream data to cloud data stores for real-time AI experimentation
Cohort-based verbose logs and insightful dashboards, providing complete visibility into existing on-device deployments
Benefits
Revenue Uplift
Enhance user experience and boost revenue with AI-based session-aware personalization
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
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
