NimbleEdge AI

Founded by Varun Khare in 2021

Deploy private on-device machine learning models and agents inside mobile applications

Pricing model

Demo

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use NimbleEdge to run artificial intelligence models and automated agents directly on user devices instead of sending data to cloud servers. The system executes Python scripts locally, processes user interaction events in real time, and routes queries across models. This allows you to generate personalized recommendations, dynamic interfaces, and voice interactions that function even when a device is offline. By processing information locally, you protect customer privacy, reduce cloud infrastructure expenses, and provide faster response times for mobile e-commerce and media applications.

What NimbleEdge AI does

Deploy local machine learning models to Android applicationsExecute real-time event processing on client hardwareRoute complex queries between local and remote modelsSet up on-device vector search for retrieval-augmented generationBuild automated agentic workflows with local tool callingPersonalize in-app experiences without transmitting raw customer dataRun machine learning models directly on user devicesExecute Python scripts locally without cloud dependenciesDeliver real-time product recommendations and dynamic interfacesSupport complete offline operation with zero cloud data transmissionSmart query routing across multiple modelsNative vector databases and retrieval-augmented generation on client hardwareTool calling support for complex agentic workflows