LLMs are expensive. Are they actually effective?
Koshent measures the efficiency quotient of your unstructured data workflows.
You integrated LLMs to handle emails, PDFs, and chats. But your finance team is asking questions.
Insight: Switching to a smaller model for summarization increases ROI by 30%.
Data beats intuition. Here is why Koshent wins.
| Feature | Traditional Analytics | Koshent |
|---|---|---|
| Data Source | Structured SQL only | Unstructured (Docs, Chats) |
| ROI Metric | Uptime / API Latency | Business Value Delivered |
| Model Agnostic | Vendor Locked | Works with OpenAI, Anthropic, Llama |
| Implementation | Weeks of coding | 10-minute API Hook |
Add our middleware SDK to your LLM calls. It takes 5 lines of code. No latency impact.
We track the "unlock." Did the AI answer the query correctly? Did the user edit the output?
Get your Koshent Score. Swap expensive models for cheaper ones where the quotient is stable.