Safeguard LLMs at Scale

Detect and remediate costly LLM risks in real-time to deploy Generative AI with confidence.

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HOW IT WORKS

The Corrective Layer of Generative AI

Safeguards’ API is deployed on-prem as an additive solution on top of RAG to detect and remediate hallucinations and other costly AI risks

Why Safeguards

AI Safeguards for real-time 
interventions in production

Fact-check LLMs outputs

Detect and correct intrinsic and extrinsic hallucinations

Reduce Engineering Cost

Reduce AI engineers time doing prompt engineering and RAG optimizations

Deploy with Confidence

Accelerate deployment of mission-critical AI use cases requiring high precision

Solution

Unlock last-mile precision with SAFE-RAG

CUSTOMIZABLE API and SDK

Corrective and customizable safeguards for RAG Systems

Use our Python SDK or Docker Container API to leverage our default SAFE-RAG to fact check LLM outputs and enforce alignment controls.

ROBUST AND EXTENSIBLE

Safety-Aligned Factual Engine (SAFE) for AI remediation

Safeguards offers 20+ detectors for both inputs and outputs of LLMs, covering PII sanitization, sensitive patterns, harmful language, prompt injections, hallucinations, toxicity, and more.

OBSERVABILITY AND CONTROLS

Enable AI governance 2.0 with corrective safeguards

Built for LLM-native governance for regulated firms to mitigate and remediate costly risks in production. We’ve partnered with one of the most trusted AI research organization in the world.

Partner with us to build enterprise-grade trustworthy AI systems