A.I. PLATFORMS

Platforms powered by AI & Automation

Built by experts and used by leading global organizations.

From global health and development to media and regional cooperation, our platforms support organizations navigating complex information environments.

AI-powered Social Listening

Understand what people and key audiences think and need.

The application brings social media monitoring, media tracking, community feedback, audience research, and internal evidence into one secure AI-powered environment.

Designed for teams that need to know not only what is being said, but why it matters, where concern is growing, and what kind of response may be required.

Misinformation Virality Detector

Detect harmful narratives before they spread.

This platform analyses narrative structure, manipulation patterns, and virality potential. It is designed to detect what is emerging, not just what is already established.

Built for moments when the cost of late detection is high. The detector helps teams move from reactive monitoring to earlier judgement calls.

AI Personas

Test messages and simulate reactions with simulated audiences before going public.

This platform enables teams to stress-test messages, identify potential trust barriers, and refine framing before investing in a full campaign or consultation.

AI Personas helps teams challenge internal assumptions early, before creative, policy, or campaign decisions become expensive to change.

EDITORIO

Create communication materials connected to evidence.

Editorio helps generate communication products connected to approved guidance, past campaign performance, research findings, and audience understanding.

Editorio is built for content teams that need speed without disconnecting communication from evidence, strategy, and organisational standards.

Augmented Opinion Research

Move from questionnaire design to strategic recommendations faster.

This is our full opinion research platform. It supports the workflow from questionnaire design through survey data analysis, interpretation, and insight generation.

Teams can move from raw survey data to clear strategic recommendations much faster, while keeping the process grounded in research expertise, evidence, and human analytical judgement.

Under the hood

How it works

From a platform sketch to deployment, calibrate the use of AI to ensure quality and productive use with embedded human supervision needed.

Define the decision the tool has to serve

We start from the question a team needs answered and what they will do with the answer. That decides the scope, the sources and, before anything else, whether AI belongs in the task at all. Some steps are better left to a person, and we say so.

Ground it in the organisation’s own evidence

Each tool is built against known sources, credible research, and appropriate internal guidance documents.

Test it against a human standard

Specialists define what a correct output looks like and build the benchmark, whether that is a labelled dataset, a coding frame or a set of approved positions. Models and prompts are then compared against it and changed until the results hold, with the review minimizing bias as well as optimizing accuracy.

Deploy inside the partner’s environment, and stay with it

The tool runs in a secure environment so that documents and data remain safe. We train the people who use it, keep improving it while it runs, and prepare a handover where a partner wants to run it alone.