| language: | |
| - en | |
| tags: | |
| - company-analysis | |
| - decision-support | |
| # Trinity | HYPERneocloud | |
| Trinity is a company-analysis software sample. It turns a public evidence snapshot and a defined rubric into structured decisions through a customer-configured inference backend. | |
| This repository contains code and a rubric, not trained model weights, adapters, a checkpoint, or a live hosted app. No claim of a new foundation model is made. | |
| ## Run privately | |
| Install `requirements.txt`. Set `INFERENCE_ENDPOINT`, `INFERENCE_MODEL` and `HYPERNEOCLOUD_API_KEY` for your authorized backend. It must support the request and response schema used in `run_sample.py`. Then run `python run_sample.py`. | |
| The adapter has no preset provider endpoint or model. It is not runnable until you configure a compatible backend. Keep credentials server-side and outside this repository. Use only a dedicated HYPERneocloud credential; never substitute another business's key. | |
| ## Evidence and limits | |
| The example subject is Cloudflare's public product documentation. Its rubric covers ten company-analysis categories, using an ordered ten-level scale. Thin evidence does not support an overall company score. Missing data is not a negative verdict. | |
| Output is saved locally and is not included in this repository. No performance measurements, raw model outputs, rankings or comparative benchmark claims are published. | |
| This is not investment advice, suitability screening, a trade recommendation or permission to execute an order. Backend output requires independent review. Review your backend's license and terms before public deployment, training or redistribution. | |
| ## Sources | |
| - https://blog.cloudflare.com/clef-decision-models/ | |
| - https://developers.cloudflare.com/workers-ai/models/clef-flash/ | |