RunAnywhere: The default way to run On-Device AI at scale
One SDK + Control Plane to Deploy, Route, Update, and Observe On-Device AI – Offline-First, Hybrid-Smart, Fleet-Managed
We're Sanchit and Shubham, co-founders of RunAnywhere (W26).
TL;DR: Run Multi-modal AI fully on-device with one SDK and manage model rollouts + policies from a control plane.
We are already live and open source with ~3.9k stars on GitHub.
The Problem
Edge AI is inevitable — users want instant responses, full privacy (health, finance, personal data), and AI that actually works on planes, subways, or spotty rural connections.
But shipping it today is brutal:
- Every device (iPhone 14 vs Android flagship vs low-end) has wildly different memory, thermal limits, and accelerators.
- Teams waste quarters rebuilding model download/resume/unzip/versioning, lifecycle (load/unload without crashing), multi-engine wrappers (llama.cpp, ONNX, etc.), and cross-platform bindings
- No real observability — you're blind to fallback rates, per-device perf, crashes tied to model version
Result: most teams either give up on local AI or ship a brittle, hacked-together experience.
The Solution: Complete AI Infrastructure
RunAnywhere isn't just a wrapper around a model. It is a full-stack infrastructure layer for on-device intelligence.
1. The "Boring" Stuff is Built-in We provide a unified API that handles model delivery (downloading with resume support), extraction, and storage management. You don't need to build a file server client inside your app.
2. Multi-Engine & Cross-Platform We abstract away the inference backend. Whether it's llama.cpp or ONNX etc, you use one standard SDK.
- iOS (Swift)
- Android (Kotlin)
- React Native
- Flutter
3. Hybrid Routing (The Control Plane) We believe the future isn't "Local Only"—it's Hybrid. RunAnywhere allows you to define policies: try to run the request locally for zero latency/privacy; if the device is too hot, too old, or the confidence is low, automatically route the request to the cloud.
Quick Links
- OSS SDKs: github.com/RunanywhereAI/runanywhere-sdks (star if it vibes!)
- Full Docs: docs.runanywhere.ai
- Website: runanywhere.ai
Try our demo apps:
Our Ask
We're in full execution mode post-launch and hunting design partners + early feedback:
- Building voice AI, offline agents, privacy-sensitive features (health/enterprise/consumer), or hybrid chat in your mobile/edge app?
- Want to eliminate cloud inference costs for repetitive queries while keeping complex ones fast?
- Have a fleet where OTA model updates + observability would save you engineering months?
Get in touch:
- Drop us a line: san@runanywhere.ai
- Book a quick call: calendly.com/sanchitmonga22
- Or just tell us what sucks about your current on-device AI stack — honest war stories help us prioritize.
Excited to hear what you're building and how we can make on-device AI actually shippable at scale.