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Bengaluru, 24 November, 2025 : NimbleEdge, the on-device AI infrastructure company reshaping how
intelligence runs on mobile, today announced its collaboration with Microsoft
in bringing Foundry Local to Android, revealed on stage at Microsoft
Ignite 2025 in San Francisco. The launch marks a major leap for the
global developer community, enabling truly powerful, low-latency,
privacy-preserved AI to run directly on smartphones at scale.
One of India’s largest digital payments platforms has
become the first enterprise to adopt Foundry Local for Android, enabling it to
bring agentic experiences into everyday consumer applications while preserving
user privacy.
Foundry Local introduces optimized small language
models to Android, allowing developers to build agentic apps that reason,
respond, and collaborate with users in real time. By executing models locally
through a unified, optimized runtime, Foundry Local ensures that intelligence
stays on the device, resulting in low-latency performance, offline reliability,
and privacy-aware architecture.
Rajat Monga, CVP, AI Frameworks, Microsoft, stated, “At Microsoft, we believe the next breakthrough
in AI lies not only in building smarter models, but in making AI scalable,
efficient, and accessible. With Foundry Local for Android, built with
contributions from NimbleEdge, we’re unlocking a future where developers can
build real-time AI native app experiences with powerful, low-latency
intelligence on users’ phones.”
NimbleEdge is contributing in shaping Microsoft’s
Foundry Local into a secure, on-device AI layer – described as a “mini AI
server inside your phone.” The two companies have a long-standing
collaboration, starting from the ONNX runtime to scaling deployments to 30M+
devices. NimbleEdge architected the background service that handles robust
long-running SLM downloads, shared resources, and inference over a secure-bound
AIDL service with mutual certificate verification, across diverse Android
devices. NimbleEdge’s DeliteAI works with Foundry Local to simplify deployment
and scaling challenges, while orchestrating real-time agentic workflows on user
interactions.
Neeraj Poddar, Co-founder & CTO,
NimbleEdge, shares that “This
collaboration brings our core mission to life: enabling real-time, on-device AI
for billions of users. With Foundry Local on Android, developers can offer
secure and personalized experiences without the cost and latency of cloud-based
inference. We’re excited to see global developers across the world build the
next generation of mobile AI applications.”
Baked from witnessing high-frequency event streams on
edge devices, DeliteAI, by working with Foundry Local provides developers with
key advantages in:
- In-session
Context Engineering: Capture and process event
streams directly from the user interface for real-time context. - Advanced
Agent Orchestration: Facilitate agent
orchestration, prompt templating, tool calling, persistent memory, and
voice interactions. - Unified
Performance: Ensure consistent performance
across various hardware, along with cross-compatible cloud-edge inference
APIs.
“The next wave of AI will be driven by agents that
collaborate in real time with humans and other AI agents alike – and that
requires an on-device architecture,” said Varun
Khare, Co-founder & CEO, NimbleEdge. “At
NimbleEdge, we’ve been building the infrastructure catering to the needs of
mobile and edge devices. By unifying fragmentation across devices, chipsets,
and operating systems, Foundry Local and DeliteAI support developers in
deploying AI agents locally while upholding user privacy.”
On-device intelligence is, by design, more supportive
of a dynamic, evolving environment found in modern mobile applications. The
collaboration envisions a global shift toward AI that is faster, more
efficient, and fundamentally user-centric.
Website:
https://www.nimbleedge.com/
Foundry Local app: Google
Play Store
