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TOMO allows developers to seamlessly deploy, manage, and benchmark local LLMs directly on user devices. Privacy-first, performance-driven.
TOMO follows the same architectural philosophy as push notifications on Android and iOS. Instead of every app bundling its own local LLM/SLM engines and models—wasting storage and potentially overloading device memory—TOMO provides a single, shared resource for all authorized apps.
Reduced app complexity and smaller binary sizes. Integrate local AI in minutes, not months, using our unified SDK.
Optimal device performance. No more competing background processes running redundant AI technologies.
Deploy pre-selected or custom GGUF models directly to user devices for privacy and zero latency.
Automatically benchmarks user devices to determine their readiness for various AI workloads.
A unified LLM provider for all apps on the device, shared through the TOMO app for efficiency.
Quickly integrate with our robust SDK and use your own custom models for specialized use cases.
Develop once, deploy everywhere with TOMO. Native performance across devices.
Full support for Mobile, Tablet, TV, Car (AAOSP), and Android Auto.
Native iOS SDK for iPhone and iPad support.
Windows, macOS, and Linux support for power users.
Scale your application with our predictable credit-based model.
First 1,000 active devices
1,000 - 1M active devices
After 1 million devices
* 1 Credit = €0.10. Prices exclude VAT.
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