Running AI models in serverless environments can be expensive, especially when calls fail. A platform that credits back costs for failed calls could attract developers.
Build a serverless inference platform that optimizes costs by refunding credits for failed API calls. Include monitoring and analytics tools.
Charge based on usage, with discounts for high-volume customers.
The MVP could be a simple API wrapper around existing serverless infrastructure with credit tracking.
The main risk is competing with established cloud providers, so focus on cost transparency and developer-friendly features.