Making AI Smaller, Faster, and More Accessible
FasterAI Labs builds open-source tools that help developers deploy efficient AI models without sacrificing performance.
AI Models Are Getting Too Big
Modern AI models deliver impressive results, but they come with a hidden cost: massive computational requirements that make deployment expensive, slow, and environmentally taxing.
Most organizations can't afford the infrastructure to run state-of-the-art models in production. Edge devices and mobile apps are left behind. The carbon footprint of AI continues to grow.
Compression Without Compromise
We've spent years researching neural network optimization techniques that dramatically reduce model size and inference time while maintaining accuracy.
Our tools make these techniques accessible to every developer, whether you're a startup deploying your first model or an enterprise optimizing at scale.
What We Do
Model Compression
Reduce model size by up to 90% using pruning, quantization, and knowledge distillation techniques.
Inference Acceleration
Speed up inference 3-5x on any hardware through optimized model architectures and efficient runtimes.
Open-Source Tools
Production-ready libraries that integrate seamlessly with PyTorch and popular ML frameworks.
Ready to Optimize Your AI?
Get started with our tools or reach out to discuss how we can help with your specific use case.