A common LLM and SLM architecture, integrating
semantic search, contextual vectorization, deep
search, and neural learning.

Deep contextual alignment

Your agents shape a unique response for each user, adapted to their context, role and objectives.

Each agent behaves like your own analyst: interactive, responsive and constantly improving with each exchange.

Extended coverage

Your agents facilitate the large-scale scraping and analysis of information worldwide, whatever its format or source, from media to social networks to corporate sites.

All content is processed multimodally and delivered in the preferred summary language.

A AI-native
solution.

Being AI-native is a change in technological vision, where the entire stack is based on LLMs, enabling better data handling, self-improvement and, for the first time, dynamic use.

Queries in
natural language

Contextual
Search

From static data to Kinetic Research.

Each agent constantly scans a variety of sources, filtering out noise, checking credibility and extracting key information - so you're always one step ahead of what matters.

Discuss, like
with an analyst

Chat with AI, an agent able to answer all your questions and queries

on the whole corpus
on selected content
on part of the summary

The latest, most comprehensive data, the most advanced AI technologies. Combined to deliver strategic clarity and decisive advantage.

We have created
the principle of

Kinetic
Surveillance.

A AI-native
solution.

From static data to Kinetic Research.

Discuss, like
with an analyst

We have createdthe principle of

KineticSurveillance.

A AI-native solution.

From static data to Kinetic Research.

Discuss, likewith an analyst

We have created
the principle of

Kinetic
Surveillance.

A AI-native
solution.

Discuss, like
with an analyst