Corectic AI - Turn AI API costs into a profit center

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A single API key routes to 11 LLM providers with automatic fallback and semantic caching (up to 30% cost cuts). Track every token in real time, then resell access to your own clients with built-in margins, white-label dashboards and Stripe billing.

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A few months ago, I realized how difficult it is and the lack of a clean interface to centralize all these AI APIs, which would allow anyone using AI APIs to manage their costs. But if that were all, it would be too simple. So I racked my brains to find ways to reduce these costs that weigh heavily on intensive use of AI in SaaS or other applications. I then developed the idea of ​​a proxy system that intercepts the user's request and processes it to decide its fate if it is sent to the AI ​​provider in question (Claude, Chat GPT, Gemini, etc.). Or, I could switch to decoding in my system which can return pre-recorded answers for similar questions, which blocks the request to the AI ​​and reduces token costs both for sending and receiving. With a semantic caching system. We can also compare the models, but the biggest part is yet to come. I'd like to get some feedback to know if anyone is curious or not.