We are Deep Tech for Online Harms

Cutting-edge AI built to detect, understand and defeat online harm.

We are Deep Tech for Online Harms

Cutting-edge AI built to detect, understand and defeat online harm.

Awards and distinctions by

The power of
Insikt Ai

Through the application of AI methodologies, we develop domain-specific ML models to help in the fight against different kinds of online harms. However, our flexible technology can be used for any number of commercial use cases, as well, particularly in media, business and finance.

Spotlight

OSINT Platform

Classifies and analyzes data to help Law Enforcement and Investigative professionals detect suspicious content. Powered by Artificial Intelligence Methods such as Deep Learning and Social Network Analysis, Spotlight saves time, surfaces hidden insights and cuts through the noise to effectively neutralize and prevent terror, crime and cyber threats. 

Eligible for 14 day trial
In development

Trueview​

Platform

Cutting-edge tool to map out social networks, analyze their structure and content, and identify potentially problematic disinformation in real-time. TRUEVIEW is also geared towards large enterprises and brands, who worldwide lose an estimated €70 billion yearly as a result of fake news.

Custom Machine

Learning Models

We build specific, customized models for our customers’ use cases in order to help you achieve maximum detection capabilities in complex online content domains. We can build models that learn how to distinguish these relevant posts within massive online content with very little information to start from.

Why
Insikt

Easy-to-use yet scientifically complex software with pre-trained models with millions of parameters to enhance NLP methods. We remove the need for manual data analysis and make possible the discovery of the “unknown unknown”.

Awards and distinctions by

Experts in security field
Ethical Approach
Custom AI analysis
Cutting-edge R&D
How
WE CAN HELP

We help both public and private sector stakeholders detect problematic content before it becomes a problem, identify emerging issues and predict and mitigate harmful content spread.

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