RunAnywhere, Inc.
RunAnywhere provides the infrastructure and research to deploy and run multimodal AI models directly on mobile and edge devices, moving compute from the cloud to the edge.
At a Glance
AI Tools by RunAnywhere, Inc.
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RunAnywhere
On Device AI Mobile SDK
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Latest News
MetalRT VLM Launched: Fastest Vision Language Model on Apple Silicon
MetalRT Speech: First Complete AI Inference Engine for Apple Silicon with Speech Support
RunAnywhere Launches MetalRT LLM: Fastest Decode Engine for Apple Silicon
Why the Next Wave of AI Will Run on Your Phone (CEOWORLD)
Products & Services
A proprietary C++ inference engine featuring custom GPU kernels, operator fusion, and unified memory optimizations for hardware-native performance.
Unified cross-platform SDK supporting Swift, Kotlin, React Native, and Flutter for deploying AI across iOS, Android, and macOS.
A SaaS dashboard for fleet observability, over-the-air (OTA) model updates, and policy-based inference routing.
Market Position
Positions itself as the 'default way' for on-device AI by offering a hardware-optimized engine (MetalRT) that significantly outperforms standard cloud-based or generic mobile fallbacks.
Leadership
Founders
Sanchit Monga
Co-Founder & CEO. Formerly a Software Engineer at Intuit where he built mobile SDKs used by 50M+ users. Y Combinator alumni (W26).
Shubham Malhotra
Co-Founder & CTO. Former infrastructure engineer at AWS (EC2 Spot) and Microsoft (Azure Arc). Published ML researcher and author of custom GPU kernels for MetalRT.
Executive Team
Sanchit Monga
Co-Founder & CEO
Built SDKs at Intuit for 50M+ users; mobile product expert.
Shubham Malhotra
Co-Founder & CTO
Ex-AWS EC2 Spot and Microsoft Azure Arc; expert in distributed systems and ML inference research.
Founding Story
Founded by Sanchit Monga and Shubham Malhotra to solve the fragmentation and performance bottlenecks of edge AI. Both founders, hailing from small-town Punjab, combined their experience from Intuit, AWS, and Microsoft to build a hardware-native inference runtime.
Business Model
Revenue Model
SaaS subscription model for the Control Plane and fleet management platform, starting with tiered monthly plans and custom enterprise agreements.
Pricing Tiers
Basic features for on-device AI deployment and monitoring.
Advanced fleet management, volume discounts, and white-glove support.
Target Markets
- Fintech
- Gaming
- Healthcare
- Aviation
- Insurance
- Banking
- On-device LLM chat
- Private fintech AI
- Low-latency voice assistants
- Offline edge vision
- Scalable on-device intelligence for regulated industries
- Fintech and gaming enterprises