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About Viqus

We build the lens,
not the noise.

In a world saturated with AI headlines, Viqus exists to cut through the hype. We analyze every story with our own private AI to give you signal — not spectacle.

viqus.manifest
# viqus.ai — mission config

name: "Viqus"
type: AI Analysis Engine
mission: "Structure over noise"
llm_provider: local (Ollama)
data_sovereignty: true
analysis_mode: dual-prompt
status: operational
By the Numbers

The engine in figures

2K+
Articles Analyzed
24/7
Active Monitoring
100%
Private AI
0
Data Shared
Origin

How we got here

Four chapters that explain why Viqus exists — and where it's heading next.

The Frustration

A team drowning in AI hype, searching for real technical signal beneath layers of marketing noise and clickbait headlines.

The Prototype

We built the internal tool we wished existed — a filter that reads, scores, and distills every story through private local AI.

The Public Launch

Viqus.ai went live with one goal: give everyone access to the same signal-extraction engine we relied on every day.

The Road Ahead

New verticals, deeper scoring models, and a workspace for teams to run their own intelligence operations — all coming soon.

Our DNA
We don't aggregate headlines — we interrogate them. Every insight earns its place through analysis, not volume.
— The Viqus Manifesto
01

Deep Analysis Over Aggregation

We use dual-prompt AI to understand and contextualize. Every piece passes through our relevance and impact filter before it reaches you.

02

Radical Pragmatism

We focus on real-world impact and practical applications, beyond the media hype. If it doesn't change how you think or act, it doesn't make the cut.

03

Accessible Knowledge

We translate the complexity of AI into language everyone can follow. Technical rigor shouldn't require a PhD to understand.

The Engine

Our Technology

Viqus Engine is the heart of the platform — an asynchronous pipeline that ingests, analyzes, stores, and delivers intelligence in seconds.

Sources
Python
Ollama
PostgreSQL
Jinja2
HTML5
Open Principles

What we commit to

001

Your data stays sovereign

All LLM processing runs on our own infrastructure via Ollama. Your reading patterns, queries, and intelligence footprint never leave our servers — and never will.

002

No algorithmic manipulation

We don't optimize for engagement, clicks, or time-on-site. Stories are ranked by technical impact and real-world significance — nothing else.

003

Transparent scoring

The Viqus Verdict is a weighted average of Media Hype and Real Impact, both visible on every article. You see exactly how we reach our conclusions.

004

Built in the open

We publish our methodology, share our glossary, and maintain an academy so anyone can understand — and challenge — how we work.

Next Step

Ready to see the signal?

Explore our latest analyses and discover what's really moving the AI landscape — without the noise.