Prediction Guard

NewVerified

Private LLM API with built-in safety controls and compliance.

8.0 (51.143 score)

freemiumAPI Available

Overview

Prediction Guard provides a managed LLM API that prioritizes data privacy and security for enterprise applications. It offers guardrails against harmful outputs, PII redaction, and compliance features like audit logging. Teams needing controlled LLM access without sending data to public models benefit most from this solution.

Pros

Automatically detects and redacts personally identifiable information
Filters harmful content and prevents prompt injection attacks
Supports multiple LLM providers through single managed interface
Includes audit logging for compliance and governance needs
Offers fine-tuning and custom model deployment options

✕ Cons

Limited free tier may restrict production use cases
Fewer integrations compared to direct LLM provider APIs
Pricing details require contacting sales for custom deployments

Key Features

PII redaction and data privacy

Content safety guardrails

Multi-model LLM API gateway

Audit logging and compliance

Fine-tuning capabilities

Prompt injection detection

Use Cases

Healthcare organizations processing patient data with LLMsFinancial services requiring PII protection and audit trailsEnterprises needing governance guardrails on LLM outputsTeams deploying LLMs in regulated industries

Best For

Enterprise Security TeamsCompliance OfficersHealthcare & Finance DevelopersRegulated Industry Leaders

Frequently Asked Questions

What is Prediction Guard's pricing model?▾

Prediction Guard offers usage-based pricing with API calls charged per token. Contact their sales team for enterprise plans with custom pricing and volume discounts.

How easy is it to set up Prediction Guard?▾

Setup is straightforward with API-first architecture and clear documentation. Most developers can integrate it within hours, though familiarity with REST APIs and LLM workflows helps.

What integrations and APIs does Prediction Guard support?▾

Prediction Guard provides REST APIs for LLM integration and works with popular frameworks. It supports multiple LLM providers and can be embedded into existing applications through standard API calls.

What are the main limitations of Prediction Guard?▾

It's designed primarily for enterprise and compliance-heavy use cases, so it may be overkill for simple applications. Advanced customization beyond built-in controls may require technical support.

Who should use Prediction Guard?▾

It's ideal for organizations handling sensitive data, regulated industries (healthcare, finance), or companies needing strict data governance and LLM output control for customer-facing applications.