AI inference libraries can be bulky and slow, hindering performance in resource-constrained environments. A lightweight alternative could address this pain point.
The library would focus on speed and minimal dependencies, supporting popular AI frameworks.
Developers and startups would pay for faster, more efficient AI integration.
Start with support for a few common models and expand based on user needs.
The main risk is competition from established libraries optimizing performance.