Fluid Inference is an applied research lab making on-device AI fast, efficient, and accessible. Our platform optimizes models for real-time workloads on local devices and provides native SDKs for each platform.
We are researchers and engineers from LinkedIn, Amazon, Microsoft, and Databricks. When we built our own consumer AI app, we encountered the limitations of existing solutions. They were either closed-source, too slow for real-time use, or lacked native SDKs for ambient, always-on workloads. We're building the infrastructure we believe the industry needs and making it open-source.
Our models and SDKs are open source because our mission goes beyond APIs. The Fluid Inference platform automates deployment on AI edge devices, handling everything from model optimization to evaluation, so developers can focus on building rather than managing infrastructure.
