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Prediction Guard is now available on the Azure Marketplace — Control & Govern AI from your VPC.
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Product Overview

Everything You Need to Run AI in High-Trust Environments

The secure AI platform that gives builders an OpenAI-compatible API and platform teams the governance harness they need on one foundation built for regulated, mission-critical work.

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15+
Model providers - OpenAI, Anthropic, AWS Bedrock, Azure, Vertex & more
<2ms
Governance overhead per request at any scale
4x
TCO reduction vs. fragmented AI security point solutions
Zero
Prompt data stored or logged by Prediction Guard, ever
For Builders
Familiar API. Faster Shipping.

If you've built with OpenAI, you can build with Prediction Guard. Our OpenAI-compatible API drops into your existing stack - no rewrites, no lock-in.

Python Go Rust Node.js cURL
 
 
 
python
from predictionguard import PredictionGuard client = PredictionGuard( api_key="<Your PG API Key>", url="<Your PG API URL>" ) result = client.chat.completions.create( model="gpt-oss-120b", messages=[{ "role": "user", "content": "What is a good way to learn to code?" }], output={"factuality": True, "toxicity": True}, input={"pii": "replace"} ) # Built-in: PII redaction, injection check, factuality, toxicity

What builders get

  • Drop-in compatibility with LangChain, LlamaIndex, Vercel AI SDK, and OpenAI SDKs
  • Curated open models including Llama 3.1, Mistral, Hermes-3, DeepSeek, and more behind one API
  • Built-in safety - factuality, toxicity, PII detection, and prompt injection checks as first-class API features via /factuality, /toxicity, /pii, /injection
  • Production performance with low latency and predictable scale
  • Clear docs and SDK in the languages you actually use
For Platform Teams
A Governance Harness, Not a Black Box.

The same API your builders love gives your platform team the controls high-trust environments demand.

4x
TCO Reduction
Instead of integrating fragmented AI security point solutions, deploy a single control plane that ensures full compliance while you scale.
SUPPORTED DEPLOYMENT ENVIRONMENTS
Kubernetes AWS Azure GCP On-Premises Air-Gapped

What platform teams get

  • Private, on-prem, or air-gapped deployments - data never leaves your perimeter. Zero prompt data stored or logged, ever.
  • Centralized policy enforcement across every model, team, and app - globally or per API key, agent, or user
  • Full observability with immutable audit logs and AI BOMs for every inference and system change

  • Enterprise security - SSO, RBAC, key scoping, rate limits, and tenant isolation
  • Standards-aligned - NIST AI RMF, NIST 600-1, OWASP LLM Top 10, OMB M-26-04, HIPAA, SOC 2
Explore the Platform

Four Capabilities. One Governed System.

Every model, agent, and API key operates under the same governance framework from day one.

 
Product
Manage

Sovereign AI systems, model connections, API key governance, and deployment to any infrastructure.

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Product
Govern

NIST, OWASP, OMB baselines with PII protection, injection blocking, audit logs, and SIEM integration.

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Product
Deploy

Maintain AI governance by deploying Prediction Guard control plane services directly within your own infrastructure.

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NEW
Product
Build

No-code Agent Forge builder, Python/Go/Rust/Node SDKs, and RAG knowledge base governed from the first call.

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Start Operating AI Under Your Control.

Book a demo and see how Prediction Guard gives your organization full sovereignty over every model, agent, and API key without slowing engineering.

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