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Agentic Reasoning for the Generative AI-Enabled Cognitive Continuum

The Project

Trustworthy, sovereign and energy-aware AI agents that work where data is created.

ARGENTIC at a glance

AI is becoming more powerful, but most of it still runs in a few large, remote data centres, often outside Europe. This makes it energy-hungry, harder to control and risky for sensitive data.

ARGENTIC is a Horizon Europe research and innovation project that builds a different kind of AI: smart agents that work locally, on devices and networks close to where data is created, and cooperate safely with each other.

Over three years, we are developing open tools, a shared reference architecture and compact AI models, and testing them in seven real-life pilots, taking the technology from the lab to real-world use.

What makes ARGENTIC different

Four principles guide everything we build.

Smart at the edge

AI that runs directly on local devices, for fast decisions without sending data away.

Collaboration without sharing data

AI agents learn from each other, while sensitive data stays where it belongs.

Greener by design

Smart task planning that aims to cut AI's energy footprint by 30%.

Trust built in

Human oversight and full compliance with the EU AI Act and GDPR.

ARGENTIC in numbers

20

participating organisations

17 beneficiaries · 2 affiliated entities · 1 associated partner

9

countries

across Europe

€7.5M

total EU contribution

Exactly €7,499,498.75 · Horizon Europe

36

months

June 2026 – May 2029

Want to go deeper?

Discover the challenges we tackle, our approach and how the technology works.

How ARGENTIC works →

The Solution: The Shift to the Cognitive Edge

2018

First Release

2020

$20M raised in Series A

2023

$100M raised in Series D

2024

500M raised in Series E

2025

Open Los Angles Office

Our value

Monitoring

AI Crawler Monitoring

Track how AI bots (like ChatGPT, Gemini, and Claude) access and interact with your website content in real time.

Score

AI Crawler Monitoring

Get a proprietary score that measures how well your brand and content are represented across AI-generated outputs.

Optimization

Content Optimization Insights

Receive actionable recommendations to improve your content structure and metadata for better AI indexing and referencing.

Attribution

Attribution & Traffic Analytics

Understand which AI interactions are driving human traffic to your site—quantify the real business impact of AI exposure.

David Chen

Chief Technology Officer
Streamline recruitment and find the right talent faster and easier.

Samantha Lee

Chief Executive Officer
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Maria Alvarez

Head of Machine Learning
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James Patel

Lead Data Scientist
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Emily Nasser

Director of Product Strategy
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Omar Haddad

Senior AI Engineer
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Chloe Martin

UX/UI Design Lead
Streamline recruitment and find the right talent faster and easier.

Liam Brooks

Marketing & Growth Manager
Streamline recruitment and find the right talent faster and easier.

We’re not here to replicate the past—we’re here to reinvent it.


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