AI safety infrastructure
for the rest of the world.

DeepAccord gives 38 middle power nations a shared safety evaluation baseline and cross-border incident protocol.

The problem

No shared safety floor

Every middle power has its own idea of what a safe AI model looks like, and none of them agree. Labs exploit that gap by deploying in whichever jurisdiction asks the least of them. Until middle powers align on a common standard, the weakest regulator sets the global bar.

No cross-border coordination

When an AI model leaks Australian government health records, or a deepfake campaign hits Sweden, Canada, and South Korea in the same week, there is nowhere to call. No shared reporting line, no joint investigation, no obligation for the lab to disclose anything across borders. Every country is left to respond alone.

The solution

Model Clearance

DeepAccord defines what a safety evaluation should actually cover across four domains, with clear thresholds and third-party verification requirements. Any model being deployed across middle power jurisdictions gets measured against the same baseline, so labs can no longer pick the easiest market and call it compliant.

Incident Response Coordinator

When something goes wrong, DeepAccord tells you what tier the incident is, which countries need to be notified and within what timeframe, what your response team should be doing in the first six hours, and what the lab is obligated to disclose. No more responding alone without a playbook.

Countries covered

Safety domains

Severity levels

Start with a model. Or an incident.

Both modules work independently. Pick the one relevant to your country or lab right now.