Galini

Galini

Galini provides guardrails-as-a-service to filter harmful inputs and outputs based on company policies and industry regulations.

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Overview

Galini provides guardrails-as-a-service to filter harmful inputs and outputs based on company policies and industry regulations. Key capabilities allow enterprises to create, test, deploy, and refine guardrails to ensure AI applications are compliant at runtime. It is designed for product and engineering leaders who need to secure their AI systems without the high cost of in-house development. By using Galini, organizations can save significantly on operational costs while ensuring safety. Specific pricing details are not publicly disclosed, requiring direct contact for access.

Key features

  • Policy-based input and output filtering
  • Tools to create, test, and deploy guardrails
  • Runtime compliance monitoring for AI apps
  • Cost reduction by avoiding in-house builds

Pros & cons

Collected from user feedback found in web search

Pros

  • Provides compliance guardrails for AI applications at enterprise scale
  • Founders with McKinsey consulting and enterprise SRE expertise
  • Addresses critical need for AI governance in enterprises

Cons

  • Compliance guardrails add latency to AI application responses
  • Market awareness and adoption still developing

Pricing

Paid
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Verified on:

Use cases

  • Ensuring compliance in enterprise AI applications
  • Filtering harmful content based on regulations
  • Replacing expensive in-house guardrail development

Who it is for

Enterprise productengineering leaders

Integrations

OpenAIAnthropicGoogle GeminiAWS BedrockMeta Llama

Tags

API

How we verified this

Company, pricing, and feature details come from the primary sources below and our latest verification pass. When sources disagree, the official source and the most recent check win.

Last verified 09/10/2026Verified sources: 1

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