On-device foundation models for efficient, general-purpose AI on edge devices.
Product memo
Liquid AI provides efficient, general-purpose AI models that run directly on edge devices, not just in the cloud. It optimizes for latency, privacy, and hardware constraints, making advanced AI accessible for applications in automotive, consumer electronics, and pharmaceuticals. This approach offers a defined adoption wedge for businesses and developers building on-device AI.
For who
Businesses and developers building on-device AI
Solves what
Enables efficient, general-purpose AI on edge devices, optimizing for latency, privacy, and hardware constraints.
- On-device foundation models
- CPU, GPU, NPU optimization
- Multimodal AI capabilities
In their own words
Native device foundation models
Advanced intelligence for processors outside of data centers. Built for the latency, privacy, and hardware constraints of the physical world.
Our ultra-efficient multimodal models are turning the promise of an AI-powered world into reality. Optimized for CPUs, GPUs, and NPUs, they enable privacy-, low-latency, and security-critical applications
Commercial cues
Model
free only
Free tier
No
Trial
No
Pricing Strategy
Liquid AI offers a free Everyone tier, with Enterprise handled through custom pricing.
- • Free tiers remove adoption friction for individual developers and small teams.
- • A dedicated Startup program offers specialized support to early-stage companies.
- • Custom enterprise pricing addresses the complex needs of large-scale deployments.
Operator context
Operating setup
Team
VC / larger team
LLM classification
HQ
United States
Platform
API
Audience
Developers
Social footprint
Tech stack
Market demand
Liquid keyword demand
5 keywords
Market demand is Starter-tier market intelligence.
Derived from this product’s latest SimilarWeb keyword mix — directional demand, not proof.
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Vc Growth
- Effort
- Complex Stack
About Liquid Expand
Liquid AI delivers highly efficient, general-purpose AI models designed to operate directly on edge devices. It serves businesses and developers who need to run AI with low latency, enhanced privacy, and minimal hardware requirements.
By focusing on on-device foundation models and optimizing for CPUs, GPUs, and NPUs, Liquid AI addresses a critical need for applications in sectors like automotive, consumer electronics, and pharmaceuticals. This helps overcome the common limitations of cloud-dependent AI, offering a alternative for specialized use cases.