The platform

The anti-disinfo stack.

One continuous loop, from signal to correction — multi-model detection, gap measurement, provenance tracing, sourced correction. Across 100 languages and every major model.

The loop

Detect → Qualify → Trace → Verify → Alert → Correct.

01

Detect

Multi-model querying surfaces every assertion mentioning you, your leaders or rivals.

02

Qualify

Each claim is classified — factual, contested, fabricated — against verifiable references.

03

Trace

Provenance: which sources fed the model, and how the claim was laundered.

04

Verify

Checked against primary, authoritative evidence — never opinion.

05

Alert

Drift and critical narratives trigger graded alerts to the right desk.

06

Correct

Sourced counter-narratives, ready to deploy where the record needs straightening.

Architecture

Built for breadth and proof.

Multi-model detection
Every major model queried continuously — ChatGPT, Gemini, Perplexity, Claude, Copilot and more — so coverage matches where audiences actually ask.
Gap measurement
Each assertion scored against verifiable fact, producing a quantified drift you can track over time and across models.
Provenance tracing
We follow the claim upstream — to the sources that fed the model — and document how a weak signal was laundered into apparent fact.
Correction generation
Sourced, reviewable counter-narratives, with provenance attached, ready for your Comms and Legal teams.
100 languages
Monitoring and correction across 100 languages — reputations do not stop at one market.
See it on your organisation

See what AI says about you

A confidential audit shows the stack working on your real exposure. Results within five days.