# Arious News

A news reader that attaches the evidence to the story instead of asking to be trusted: where it came from, whether it was checked, and where it happened.

- Client: ARIOUS NEWS, S.L.
- Year: 2026
- Category: AI
- Stack: typescript, nestjs, nodejs, nx, prisma, postgresql, redis, qdrant, flutter, dart, android, apple, gemini, openai, ollama, huggingface, docker, hetzner, linux, prometheus, grafana, sentry, opentelemetry, git, github
- Live: https://ariousnews.com

### Every story, with its reason

Each report carries its own trust status — verified, under review, or rejected — and that status is shown on the story itself, not buried somewhere.

### What reaches the reader

The models that index text for search and infer where an event happened run on the product’s own servers, not through an external API. For a platform whose job is judging credibility, that is a structural difference rather than a preference.


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Source: https://larsima.com/zh/projects/arious-news
Organisation: LARSIMA (شرکت فن‌آوران توسعه لار سیما), registered in Iran, no. 318515, since 2007-12-02.