Liquid AI unveils LEAP and Apollo to slash cloud dependence in edge AI deployments
Liquid AI announced the launch of its Liquid Edge-AI Platform (LEAP) v0 last week, enabling developers to deploy AI on local devices like smartphones, laptops, and cars without relying on cloud infrastructure.
The company also unveiled Apollo, a lightweight iOS-native app powered by LEAP, offering private, secure, and low-latency AI interactions directly on devices. LEAP simplifies edge AI deployment with a small language model (SLM) library and platform-agnostic tools, requiring only 10 lines of code for integration.
A few weeks ago Liquid AI introduced Liquid Foundation Models (LFM2), which are faster, more energy-efficient, and optimized for resource-constrained scenarios compared to traditional transformer-based models.
“Our research shows developers are frustrated by the complexity, feasibility, and privacy trade-offs of current edge AI solutions,” says Ramin Hasani, co-founder and CEO of Liquid AI. “LEAP is our answer a deployment platform designed from the ground up to make powerful, efficient, and private edge AI easy and accessible. We’re also excited to give users the ability to test our new groundbreaking models through the iOS-native app Apollo.”
Apollo and LEAP integrate LFM2, allowing developers to build high-performance, edge-native AI applications. LEAP is designed to be accessible for both AI novices and experienced developers, promoting ease of use and efficiency.
LEAP is available now, and Apollo can be downloaded from the iOS App Store, with an Android version coming soon.
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Article Topics
AI/ML | edge AI | generative AI | Liquid AI | SLM
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