We are the world’s first platform-as-a-service to help cloud based ML organisations migrate compute to distributed mobile edge for running recommendations and using federated learning at scale for training. 

We unlock unlimited revenue potential through real-time hyper-personalisation, tapping data at its source and through incredulously fast response time, reducing their cloud cost, all the while maintaining user privacy.   We take care of complex things like the diversity of computing power, OS or communication mediums, so that developers can focus on what to build for the edge and not how to build it.

 We are headquartered in San Francisco with our team based across geographies and have NeoTribe Ventures as our lead investors, with strong backing from tech leaders from Meta, Twitter, Google, Paypal, Professors at CMU, UC Berkeley and OpenMined.  

Message us at contact@nimbleedgehq.ai to learn more

Software

NimbleEdge

NimbleEdge's headquarters in San Francisco, CA, United States

Varun Khare

Rishabh Kedia

Amit Kumar

Neeraj Poddar

The Engineering Team at NimbleEdge is responsible for developing and optimizing the platform that enables seamless migration of machine learning workloads to the mobile edge. This team comprises ML engineers and systems engineers who focus on the underlying architecture, ensuring robust performance and interoperability across diverse computing environments. Additionally, Android engineers contribute to creating user-friendly applications that leverage the platform's capabilities, while machine learning researchers explore innovative algorithms to enhance real-time hyper-personalization and federated learning at scale. Together, they empower developers to harness edge computing effectively while maintaining user privacy and reducing cloud costs.

Engineering Team

The Marketing Team at NimbleEdge focuses on driving awareness and engagement for our cutting-edge platform-as-a-service. By leveraging data insights and innovative marketing strategies, the team aims to position NimbleEdge as a leader in the mobile edge computing space, attracting cloud-based ML organizations to our unique solution for real-time hyper-personalization and federated learning. Team members collaborate on campaigns, design materials, and optimize go-to-market strategies to effectively communicate our value proposition and grow our customer base.

NimbleEdge

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Teams

Engineering Team

Marketing Team

Offices

NimbleEdge

Org chart

Teams

Engineering Team

Marketing Team

Offices

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