20+ categories, 4 modalities, 50+ languages, 30 ms P99 latency
Every AI response is a risk for something to go wrong
Accuracy
AI models can say the same thing in multiple ways and languages. This makes it very difficult to build guardrails that can cover every pattern without high false-positives or missing new issues. Realmguard is powered by DNI which reads AI internal thinking and builds patterns on them. That means adding a new category, language or modality is easy. Realmguard achieves state-of-the-art performance over all public benchmarks.
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Latency
AI interactions are almost always multi-turn and its responses are streamed back in chunks. Traditional classifiers either lose context from the previous turns or have to scan the whole conversation again. The same applies to streaming responses. Realmguard brings tremendous innovation in KV-caching that means multi-turn conversations and streaming chunks incur constant latency.
Deployment
Other solutions need different models for content moderation, PII detection, prompt injections, sentiment analysis, off-topic classification, image & audio. This makes model development/deployment cumbersome and expensive. Realmguard gets rid of all that complexity. We deploy one model, that’s it. And it takes care of all your present and future safety issues. Packaged in Docker/Nvidia Triton containers, Realmguard can be deployed as SaaS or on-prem in minutes.
