Universal AI Integration

One API for every AI model. Works seamlessly with your existing tech stack.

View API DocsQuick Start Guide

Works with Every AI Model

Model-agnostic architecture for consistent quality control

OpenAI

GPT-4
GPT-3.5
DALL-E

Anthropic

Claude 3
Claude 2

Google AI

Gemini Pro
PaLM 2

Open Source

LLaMA 2
Mistral
Custom

+ Any AI model with an API.Contact us for custom integrations →

Integration Methods

REST API

Simple HTTP endpoints with comprehensive docs

  • • OpenAPI 3.0 spec
  • • Interactive playground
  • • Postman collection

Native SDKs

Official libraries for all major languages

  • • Python, JavaScript, Java
  • • Go, Ruby, PHP
  • • .NET, Swift, Kotlin

Webhooks

Real-time event notifications

  • • Event filtering
  • • Retry mechanisms
  • • Signature verification

Enterprise Integrations

Native integrations with your existing infrastructure

AWSGoogle CloudAzureGitHubSlackDatadogSnowflakeDatabricksOktaAuth0

Simple Integration

Python Example
from aetherlab import AetherLabClient

client = AetherLabClient(api_key="your_api_key")

# AI generates content that could violate policies
ai_output = "Watch our show! Better than Netflix's latest!"

# AetherLab ensures brand safety & compliance
result = client.validate_content(
    content=ai_output,
    desired_attributes=["engaging", "brand-appropriate"],
    prohibited_attributes=["competitor mentions", "false claims"]
)

# Safe, compliant output ready for production

Your AI is now quality-controlled, compliant, and brand-aligned.

View More Examples

Ready to Integrate?

Get started in minutes with our comprehensive documentation.

Start Free TrialAPI Documentation