mSHIELD is multilingual content moderation, risk detection, and policy enforcement — engineered for the platforms that operate in languages and jurisdictions where mistakes cost the most.
Illustrative · Production tenants are isolated and policy-customized
We built mSHIELD around the failure modes generic moderation has at platform scale.
68-language classifiers tuned for Indic and Levantine code-mix. Image-borne text via OCR. Synthetic audio & deepfake heuristics. Audio risk in 47 langs.
Every signal maps to your policy taxonomy and the jurisdictional regime that applies. DSA, IT Rules, NetzDG — pre-mapped, audit-ready.
Built-in appeals UI, reviewer dashboards, calibration sets. Every decision has an explanation. Every overturn updates the classifier on a managed cadence.
A moderation pipeline you can put in front of a regulator.
Text, image, video, audio. 68 langs. Code-mix aware.
Ensemble of policy classifiers. Lang-weighted score.
Signal → policy → jurisdiction routing.
Auto, queued, or escalated to a human reviewer.
Appeals, audit trail, calibration, active learning.
A trust layer that meets the audit posture your legal team expects.
| Modalities | Text · image · video · audioCode-mix & OCR built in. |
|---|---|
| Languages | 68 classifier-supported47 with audio risk modeling. |
| Policy frameworks | DSA · IT Rules · NetzDG · UK OSACustom policies supported. |
| Throughput | 3.1M items / day · tenantBurst-tested to 10M/day. |
| Data handling | Tenant-isolated · regional residencyNo cross-tenant training, ever. |
| Compliance | ISO 27001 · SOC 2 · DPDP · GDPRAnnual independent audit. |
Send us a sample of your hardest content and your policy taxonomy. We'll return a benchmark report under NDA in two weeks.