Features

Model-Agnostic Safety

Works with any AI system. Maintain your existing model providers, prompts, and configurations while adding an extra layer of safety.

Low-Latency Safety Checks

Proprietary AI safety engine performs rapid safety assessments on model outputs using the MLcommons hazards taxonomy.

Custom Safety Policies

Define and enforce your own safety policies through our intuitive GUI, tailored to your specific use case.

Simple Integration

One line of code to implement comprehensive AI safety checks in your application.

Key Benefits

1. Reduced Development Effort

   • Eliminate the need to build complex, deterministic filtering systems
   • Quick 10-minute setup process
   • Simple SDK integration with clear documentation

2. Enhanced Security & Compliance

   • Comprehensive safety checks based on MLcommons hazards taxonomy
   • Custom policy definition and enforcement
   • Independent verification layer after model-specific safety checks

3. Cost-Effective Solution

   • Affordable alternative to expensive enterprise solutions
   • Efficient, purpose-built safety models
   • Transparent pricing structure

4. Improved Efficiency

   • Fast, independent models for efficient filtering
   • Works like a firewall after model-specific safety checks
   • Low-latency response times

Integration Example

JavaScript

import { Overseer } from '@overseerai/sdk';

const overseer = new Overseer({
  apiKey: 'your-api-key'
});

// Check if AI output is safe
const result = await overseer.validate('Hello! How can I help you today?');

if (result.isAllowed) {
  // Proceed with the AI response
  console.log('Content is safe:', result.text);
} else {
  // Handle unsafe content
  console.log('Content was rejected:', result.text);
  console.log('Reason:', result.details?.reason);
}

TypeScript

import { Overseer } from '@overseerai/sdk-typescript';

const overseer = new Overseer({
  apiKey: 'your-api-key'
});

// Check if AI output is safe
const result = await overseer.validate('Hello! How can I help you today?');

if (result.valid) {
  // Proceed with the AI response
  console.log('Content is safe:', result.content);
} else {
  // Handle unsafe content
  console.log('Issues found:', result.issues);
}

Safety Capabilities

MLcommons Hazards Taxonomy

Comprehensive checks against industry-standard AI safety criteria.

Custom Safety Rules

Define and enforce organization-specific safety policies through our GUI.

Real-time Verification

Instant safety assessment of AI system outputs.

Multi-layer Protection

Works alongside existing model-specific safety measures.