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.

https://youtu.be/N3x2bs4ri68

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:

• Android
• iOS

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.